WO2013123446A1 - Système et procédé de production et de transmission d'une énergie électrique à partir de ressources renouvelables - Google Patents

Système et procédé de production et de transmission d'une énergie électrique à partir de ressources renouvelables Download PDF

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Publication number
WO2013123446A1
WO2013123446A1 PCT/US2013/026510 US2013026510W WO2013123446A1 WO 2013123446 A1 WO2013123446 A1 WO 2013123446A1 US 2013026510 W US2013026510 W US 2013026510W WO 2013123446 A1 WO2013123446 A1 WO 2013123446A1
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WO
WIPO (PCT)
Prior art keywords
power
renewable energy
resource
component
renewable
Prior art date
Application number
PCT/US2013/026510
Other languages
English (en)
Inventor
Spyros LAZARIS
Original Assignee
Lazaris Spyros
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US13/398,744 external-priority patent/US8918225B2/en
Priority claimed from US13/398,738 external-priority patent/US20120144828A1/en
Priority claimed from US13/731,024 external-priority patent/US9188109B2/en
Application filed by Lazaris Spyros filed Critical Lazaris Spyros
Publication of WO2013123446A1 publication Critical patent/WO2013123446A1/fr

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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

Definitions

  • a system and a method for generation. and transmission of electrical energy from renewable resources are disclosed.
  • the present invention relates to renewable energy resources. Specifically, the present invention relates to systems, methods, and apparatuses for supplying the power needs of an intelligent electricity grid from an entirely-renewable energy resource platform.
  • the electricity grid itself contains limited inherent facility for storing electrical energy. Power must be generated constantly to meet uncertain demand, which often results in over- generation (and hence wasted energy) and sometimes results in under-generation (and hence power failures). Additionally, there is limited facility for storing electrical energy at the point of generation, particularly in the case of offshore installations where available space must be maximized and cost and environmental issues are major considerations.
  • renewable energy resources This includes investing in and building offshore installations, whether dedicated to a single renewable resource or hosting multiple components that generate power from several different renewable resources in the same location. It will therefore be readily apparent based on all of the above that it would not be obvious to combine any of the teachings of the prior art to arrive at the specific technological advances discussed herein.
  • the present invention discloses, in one aspect thereof, an energy
  • the infrastructure is fully network-connected in a distributed computing environment, and enables utilities and providers to respond to peak demand loads more effectively and efficiently, balance power production with power consumption, and supply power consumers entirely from multiple renewable resources.
  • a multi-resource renewable energy installation provides the ability to efficiently produce power from multiple renewable energy resources in a single location.
  • the multi-resource renewable energy installation is a fully network-connected, distributed platform for producing power from multiple renewable energy resources and maintaining an efficient operational capacity of each such resource to transmit and deliver real-time power demands of customers that balances power production to consumption to minimize both supply and demand-side power storage requirements.
  • the present invention discloses an innovative electricity grid infrastructure that enables robust and dynamic multi-directional
  • the electricity grid infrastructure enables both supply and demand-side improvements in responding to peak demand loads, balancing and maintaining power production with power consumption to minimize grid storage requirements, re-configuring assets for power production and re-routing power for consumption as needed, and supplying power demand entirely from multiple renewable energy resources.
  • the present invention therefore incorporates and integrates concepts in producing power from renewable, non carbon-based energy resources, transmitting and distributing power to increasingly
  • an electricity grid infrastructure comprises a multi-resource offshore renewable energy platform having a plurality of wind turbines, a plurality of photovoltaic modules mounted on at least one tracker mounting system, a plurality of wave turbines, and a plurality of high-temperature solar thermal collectors mounted on at least one tracker mounting system coupled thereto, each capable of producing power from a renewable energy resource, a plurality of microgrids separately coupled to and forming an intelligent power distribution network, a distributed load management system at least configured to settle a transfer of a power requirement for a specific period of time from the multi- resource offshore renewable energy platform to be distributed to each microgrid in the plurality of microgrids so that the power requirement is satisfied entirely from power produced from a renewable resource, and a transmission system comprising a sub-surface high voltage direct current transmission link between the multi- resource offshore renewable energy platform and the intelligent power distribution network over which the power requirement is delivered, the transmission system including a plurality of voltage source converters connecting a power output circuit of each wind turbine
  • a method of automating an electricity grid comprises determining a power requirement of a plurality of microgrids each having coupled thereto one or more power customers who continually communicate to a microgrid control system for each microgrid a power need composed of at least a usage type, a usage amount, and a fluctuation tolerance for a specific period of time, determining a renewable energy power production capacity of a plurality of renewable energy resource components at a multi-resource offshore renewable energy platform each representing at least one renewable energy resource and each comprised of an array of apparatuses having an independently and variably adjustable level of operation in response to, for the specific period of time, the power requirement and one or more of a commodity price forecast for each renewable energy resource, a meteorological conditions forecast for each renewable energy resource, and an operational availability of each apparatus, each apparatus continually communicating an operational availability to one or more renewable energy resource control systems, producing a power output from one or more of the renewable energy resource components, assessing the power output of each of the one or more renewable energy resource component and independently and variably
  • the present invention discloses a renewable energy- based electricity grid in which power consumption is substantially balanced to power output, comprising at least one power customer having at least one receiving location, an intelligent power distribution network to which the at the least one power customer is coupled on a second end, and the least one receiving location is coupled on a first end, the receiving location configured to direct an amount of power to be consumed to the at least one customer in response to an instruction from a load control module that determines the aggregate amount of power to be consumed for a specific period of time from data collected from continual assessment of power usage by the at least one power consumer, a plurality of renewable resource energy-based power sources coupled to an offshore renewable energy platform each capable of independently and variably producing a power output so that each operates at a maximum operational efficiency creating a combined power output that is substantially balanced with the amount of power to be consumed, so that the amount of power to be consumer is produced entirely from the renewable resource energy-based power sources and so that a power storage requirement at the offshore renewable energy resource platform and at the least
  • FIG. 1 is a system diagram of a renewable resource energy management system according to one embodiment of the present invention
  • FIG. 2A is a conceptual diagram of components in a power distribution module in a renewable resource energy management system
  • FIG. 2B is a conceptual diagram of components in a power generation module in a renewable resource energy management system
  • FIG. 2C is a conceptual diagram of components in a power settlement module in a renewable resource energy management system
  • FIG. 2D is a conceptual diagram of components in a power transmission module in a renewable resource energy management system
  • FIG. 3 is a system diagram of an electricity grid infrastructure according to another embodiment of the present invention.
  • FIG. 4 is a system diagram of a multi-resource offshore renewable energy installation according to another embodiment of the present invention.
  • FIG. 5 is a diagram of power output circuits from a multi-resource offshore renewable energy installation connected to a power transmission system according to the present invention
  • FIG. 6 is a perspective plan view of a multi-resource offshore renewable energy installation and electricity grid infrastructure according to one embodiment of the present invention.
  • FIG. 7 is a top plan view of a multi-resource offshore renewable energy installation and electricity grid infrastructure according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION
  • the present invention discloses an energy management system and method for power transmission to an intelligent electricity grid from a multi -resource renewable energy platform, an offshore multi-resource renewable energy
  • the present invention also provides a framework within which a consistent flow of power can be delivered as needed while minimizing the impact of
  • the present invention also allows power from renewable energy resources to be bought and sold at the low cost and high profit by aggregating multiple variables to make sure power-producing assets operate efficiently.
  • available power-producing assets do not need to all be operated at the same time or at the same speed, and power is produced from substantially the most efficient available assets.
  • FIG. 1 is a system diagram of a renewable resource energy management system 100 according to one embodiment of the present invention.
  • the renewable energy resource management system 100 is configured to, in one aspect, arrange a power transaction between a buyer and a seller of power.
  • the "buyer” is an intelligent power distribution network 102, which may comprise a portion of one or more electricity grids, each of which is composed of a plurality of microgrids 108. Each microgrid 108 serves a plurality of power customers 1 12 who are at least communicatively coupled thereto.
  • the "seller” is one or more multi-resource offshore renewable energy installations 104 at least comprising several renewable energy resource components 1 16 capable of generating power from multiple sources of renewable energy 1 14. Many multi-resource offshore renewable energy installations 104 may be coupled together and included with the scope of the present invention, so that for example ultra-large offshore energy "farms" can be connected together to meet the power needs of the intelligent power distribution network 102 or electricity grid infrastructure 300.
  • Each renewable energy resource component 1 16 comprises of a plurality of apparatuses and systems which perform the work necessary to produce power. Each of these renewable energy resource components 1 16, and each apparatus and system therein, are separately controllable and are independently and variably operable to provide a power requirement 144 as determined and instructed by the intelligent power distribution network 102.
  • the renewable resource energy management system 100 provides a "network of networks" approach to electricity grid architecture with distributed master control capabilities and a wide -area communications infrastructure that integrates electricity grid automation and optimization concepts with balancing power production to power consumption and maximizing efficiency of power production from renewable energy resources.
  • the renewable resource energy management system 100 is hosted within a distributed computing infrastructure 150 which includes one or more multiple interconnected computing networks 152.
  • System of modules and control systems within the present invention that manage and process data flow, communicate, and provide the necessary input and output signals to perform the various functions discussed herein are resident within this distributed computing infrastructure 150, which may be thought as incorporating cloud and/ or grid computing principles to provide the operating environment for the present invention.
  • the renewable resource energy management system 100 includes a modular load management system having plurality of modules each responsible for one or more functional aspects of the present invention. These include a power
  • a power generation module 208 is responsible for managing the multi-resource offshore renewable energy installation 104, and also includes a plurality of components, such as a renewable resource efficiency component 210, a renewable resource control component 212, and a
  • a power settlement module 218 is responsible for managing actions and communications between the intelligent power distribution network 102, the multi-resource offshore renewable energy installation 104, and a transmission system 106, one such action being to arrange a transfer of power from the multi-resource offshore renewable energy installation 104 to the intelligent power distribution network 102.
  • the power settlement module 218 includes a transaction resolution component 220, a power production, transmission and delivery component 222, and a communications component 224.
  • the plurality of modules further includes a power transmission module 226, responsible for managing the transfer of the power requirement 144 to the intelligent power distribution network 102.
  • the power transmission module 226 also includes several components, such as a voltage source converter component 220, a transmission control component 228, and a communications component 234.
  • the renewable energy resource management system 100 is capable of modular scalability so that many other modules performing various functions may be added and integrated to "plug in" through the distributed computing infrastructure 150.
  • modules that could be supported by the scalability of the present invention include, but are not limited to, data storage modules capable of accumulating large amounts of data inherent in such systems, and billing modules providing applications such as calculation of the complex charges and credits associated with time-sensitive purchases and sales of power from renewable energy. It is therefore contemplated that any number of modules, performing functions of any type, from high-level system to specifically-designed tasks, may be integrated into the renewable energy resource management system 100.
  • Communications components 206, 216, 224, and 234 are configured to communicate data within the renewable resource energy management system 100 and the distributed computing infrastructure 150 using high-capacity wireless broadband networks that enable high-speed multi-directional Internet protocol communications.
  • Wireless broadband networks may be of any technical type, such as for example standards -based technologies like WiMAX, within which various computing networks are capable of operating, such as field area networks and SCADA systems.
  • Frequency spectrums for wireless broadband communications may be licensed or unlicensed in the present invention.
  • the privately-hosted and shared distributed computing infrastructure 150 may utilize one or more licensed, private spectrums as one means of enhancing
  • the intelligent power distribution network 102 includes the plurality of microgrids 108, each of which are responsible for one or more activities, including communicating with power customers 1 12 coupled thereto.
  • Each microgrid 108 has at least one controller and a microgrid control system 1 10, which models data flow between each microgrid 108 and each of its power customers 1 12, with each device, meter, or other apparatus or system coupled to each power customer 1 12 capable of predicting and/or determining customer 1 12 power usage and needs. Examples of such devices include "smart" power meters which have resident controllers capable of analyzing and communicating each customer's patterns to microgrids 108 and/or microgrid control systems 1 10.
  • FIG. 2A is a conceptual diagram of components in a power distribution module 200 according to the present invention.
  • the power distribution module 200 is a series of processes performed across one or more processors within the renewable resource energy management system 100 and is responsible for various distribution-side functions.
  • the load control component 202 of the power distribution module 200 is configured to perform multiple functions within the distributed computing infrastructure 150. One such function is to forecast a power requirement 144 of the intelligent power distribution network 102 over any specific or given period of time. This is performed at least in part by continually assessing power demand 146 of all microgrids 108 forming the intelligent power distribution network 102, through communications with each device, apparatus, or controller coupled to each power customer 1 12, and components of each microgrid 108.
  • the load control component 202 may perform this continual assessment in a number of ways, such as by requesting data from controllers configured to determine multiple data sets from each apparatus, device or customer 1 12. This may also be
  • microgrid control system 1 performed by requesting data from each microgrid 108 via its microgrid control system 1 10.
  • the load control component 202, and each microgrid 108 and microgrid control system 1 10, are capable of bi-directional communications with each device, apparatus, or customer 1 12 to perform "push" capabilities to send instructions thereto to perform one or more tasks. This may be the case where the load control component 202 and microgrid 108 wish to add or remove devices, apparatuses, or customers 1 12. This may also be the case where the load control component 202 and microgrid 108 have a need to suspend operation of a particular device, apparatus or customer 1 12 for a specific reason.
  • load control component 202 and/or microgrid 108 sense a voltage spike is about to occur with that customer 1 12, power delivery can be re-routed so that the voltage spike is avoided and systems coupled to the semiconductor plant are not damaged. It is therefore contemplated that the load control component 202 and/ or each microgrid 108 and microgrid control system 1 10 are fully capable of pushing signals to devices, apparatuses, and customers to perform specific tasks within the power distribution module 200.
  • the power demand 146 is comprised of multiple variables which form an overall picture of the power needs of each customer 1 12 over a specific period of time.
  • the multiple variables are influenced by the type of power customer 1 12 and any particular power needs it may have, its history of power usage, and issues like contractual or regulatory requirements, where applicable, that impose certain limitations on what kind of power can be consumed, and when. Power need may therefore be derived from an aggregation of data reflecting different usage
  • the load control component 202 is also configured to manage a delivery of the power requirement 144 to each microgrid 108 in response to the continuing assessment of power demand 146 of each microgrid. This is performed in
  • the load control component aggregates the power demand 146 of each microgrid to arrive at the forecasted power requirement 144 that will eventually be distributed for delivery across the entire intelligent power distribution network 102 over the specific period of time.
  • the power requirement 144 will be both communicated to the power settlement module 218 to arrange the transfer of power from the multi-resource offshore renewable energy installation 104, and to orchestrate, together with each microgrid 108, distribution of the power network across the intelligent power distribution network 102.
  • the power requirement 144 is the result of mathematical modeling of several factors, including multiple variables that comprise the power need of each customer 1 12, and other factors affecting the broader intelligent power distribution network 102, such as higher-level electricity grid and microgrid topology that influence usage type (alternating or direct current), usage transmission distance to account for losses, and any fluctuation tolerance, as well as other variables as noted herein, such as regulatory and contractual requirements for using energy derived from particular sources determined by another component of the power distribution module 200.
  • the modeling used to arrive at the power requirement 144 permits scalability of the present invention by incorporating input data from the both the microgrid 108 level and the power customer 1 12 level, allowing seamless integration of lower-level customers 1 12, additional microgrids 108, and multiple large-scale electricity grids serving large geographic areas as needed.
  • the load control component 202 is therefore responsible for responding to peak demand loads through communications with each microgrid 108 and/ or each microgrid control system 1 10, as well as managing and monitoring load
  • This load control framework enables many other critical grid infrastructure functions attendant to load distribution, such as faster service restoration in the event of outages or security issues, automatic re-routing of power as needed, and generally ensuring a resilient, flexible grid infrastructure.
  • the power distribution module 200 also includes a renewable energy resource pricing and conditions component 204, which is responsible for a different function of the power distribution module 200 - determining a commodity price range at which power from each renewable energy resource 1 14 is to be purchased. In addition to generating the forecasted power requirement 144, the power distribution module 200 also provides the power settlement module 218 with this commodity price range.
  • the renewable energy resource pricing and conditions component 204 performs an assessment of commodity price data for each renewable resource 1 14 available for providing the power requirement 144 and forecasts a commodity purchase price range at which each renewable energy resource 1 14 will be purchased.
  • power customers 1 12, and the intelligent power distribution network 102 itself may have certain purchasing conditions related to contractual and regulatory requirements obligating them to purchase energy from particular renewable energy resources at particular times and in particular quantities, such as for example commodity price signals, or other conditions such as tariffs. These purchasing conditions may impose additional constraints on the amount and purchase price of each renewable energy resource 1 14. Purchasing conditions data may be available from a variety of sources - such as from an external database maintaining such requirements, or any other internal or external source.
  • renewable energy resource pricing and conditions component 160 is responsible for accumulating this information and incorporating it into models for purchases of power relative to each renewable energy resource 1 14.
  • the renewable energy resource pricing and conditions component 204 performs one or more processes to model the commodity price data for each renewable energy resource 1 14 and account for any purchasing conditions, and arrives at the forecasted commodity purchase price range at which reach renewable resource will be purchased for the specific period of time.
  • the renewable energy resource pricing and conditions component 204 may also take into account meteorological conditions in the area where the multi-resource offshore renewable resource installation 120 is located in arriving at this forecast.
  • the forecasted commodity purchase price range is then communicated, via the communications component 206, to the power settlement module 218.
  • the renewable energy resource pricing and conditions component 204 communicates with one or more external computing networks 154 that are outside the distributed computing infrastructure 150.
  • the renewable energy resource pricing and conditions component 204 may access one or more energy commodity trading platforms 160 to determine the purchase price range for each renewable energy resource 1 14 for the specific period of time.
  • the owner or operator of one or more electricity grids and/ or microgrids 108 coupled to the intelligent power distribution network 102 may also buy, sell, or trade, financial instruments allowing the power distribution module 200 to hedge, or control, exposure to price fluctuations in the commodity price data for each renewable energy resource 1 14.
  • the renewable energy resource pricing and conditions component 204 may access one or more
  • the power distribution module 200 is to be understood to include the capability to communicate with one or more external computing networks 154 to accomplish forecasts of commodity price data, meteorological conditions, and where applicable, include purchasing conditions from contractual and regulatory requirements of each microgrid 108 and/ or power customer 1 12 in those forecasts.
  • the communications component 206 is at least responsible for communicating data to the power settlement module 218, within the power distribution module 200, and with the one or more external computing networks 154.
  • the data to be communicated to the power settlement module 218 includes the power requirement 144, the commodity purchase price range at which the power requirement 144 will be purchased for each renewable energy resource 1 14 available at the multi-resource offshore renewable energy installation 104, and any purchasing condition relative to the purchase of power from renewable energy resources 1 14.
  • the communications component 160 includes one or more processes and circuit elements configured to aggregate various data inputs and transmit the resulting aggregated data incorporating the power requirement 144, the commodity purchase price range, and any purchasing condition within the distributed computing infrastructure 150.
  • the communications component 206 therefore incorporates logic elements to ensure incoming data from the load control component 202 and the renewable energy resource pricing and conditions component 204 is in a form that can be utilized by the power settlement module 218 to settle a transfer of the power requirement 144 in accordance with the present invention.
  • FIG. 2B is a conceptual diagram of components in a power generation module 208 according to the present invention.
  • the power generation module 208 is a series of processes performed across one or more processors within the renewable resource energy management system 100 and is responsible for various production-side functions governing operations in the multi-resource offshore renewable energy installation 104.
  • the power generation module 208 includes a renewable resource efficiency component 210, a renewable resource control component 212, and a communications component 216.
  • the renewable resource efficiency component 210 is configured to perform multiple tasks. One such task is to continually assess commodity prices for each renewable energy resource 1 14, and forecast a commodity selling price range for each renewable energy resource 1 14. Further, the renewable resource efficiency component 210 continually assesses, and forecasts, meteorological conditions at the location of the multi-resource offshore renewable energy installation 104 to help determine the ability of each renewable resource component 1 16 to operate over the specific period of time. This meteorological conditions forecast is also incorporated into the commodity price selling range. Both the commodity price selling range and the meteorological conditions forecasts are determined relative to the specific period of time, which is communicated from the power settlement module 218 via the communications component 216.
  • the renewable energy resource efficiency component 210 in order to access commodity price data and meteorological conditions data, the renewable energy resource efficiency component 210 must communicate with one or more external computing networks 154 that are outside the framework of the distributed computing infrastructure 150.
  • the communications component 224 facilitate the use of the one or more external computing networks 154 that allow the renewable resource efficiency component 210 to access the one or more energy commodity trading platforms 160, the one or more meteorological weather platform or site 162, and the one or more purchasing conditions database 164 to accomplish forecasts of commodity price data and meteorological conditions.
  • the operator of the multi-resource offshore renewable energy installation 104 may buy, sell, or trade, financial instruments allowing the power generation module 208 to hedge, or control, exposure to price fluctuations in the commodity price data for each renewable energy resource 1 14 over the specific period of time.
  • the renewable energy resource control component 212 is configured to continually assess an operational availability and power capacity 148 of each renewable energy resource component 1 16 at the multi-resource offshore renewable energy installation 104. This is performed through renewable energy resource control systems 214 each at least controlling one of the renewable energy resource components 1 16. It is further contemplated that each apparatus within each renewable energy resource component 1 16 may also have a dedicated control sub -system controlling the specific apparatus and responsive to output data from the renewable resource control system 214.
  • Each apparatus in each renewable energy resource component 1 16 has a controller coupled thereto capable at least of operating the apparatus to produce power, and to provide input data to either or both of the control sub-system for the apparatus and the renewable resource control system 214 responsible for the respective renewable energy resource component 1 16.
  • the renewable energy resource control system 214 receives input data from each controller of each apparatus and/ or each control sub-system to model the overall operational availability and power capacity 148 of each renewable energy resource component 1 16.
  • the renewable energy resource control component 212 uses output signals from each renewable energy resource control system 214 to forecast a power production capacity 148 of each renewable energy resource component 1 16 over the specific period of time.
  • the specific period of time is communicated from the power settlement module 218 via the communications component 216.
  • This power production capacity 148 forecast is a function of at least the operational availability of each renewable energy resource component 1 16 as indicated in output signals of the renewable energy resource control systems 214, and may also modulate those signals with the forecasted meteorological conditions and commodity pricing data relative to each renewable energy resource 1 14 at the multi-resource offshore renewable energy installation 120 that are communicated from the renewable resource efficiency component 210. Therefore the power production capacity 148 reflects the operational availability and a predicted level of operational efficiency of each renewable energy resource component over the specific period of time.
  • the renewable energy resource control component 212 also receives incoming instructions from the power settlement module 218 following resolution of a transaction, to produce power responsive to the power requirement 144 and the commodity prices of a transaction settled therein. Either of the power settlement module 218 or the renewable energy resource control component 212 may further determine the specific proportions or amount of power from each renewable energy resource component to be produced for the specific period of time.
  • the renewable energy resource control component 212 therefore is capable of determining an operational efficiency level of power production capacity for each renewable energy resource component 1 16 in response to instructions from the power settlement module 1 18 and reflective of multiple variables, such as the forecasted meteorological conditions and commodity price data, as well as the power requirement 144 over the specific period of time.
  • the renewable energy resource control systems 214 then begin operating each apparatus as determined by either the power generation module 208 or the power settlement module 218. Power will therefore be produced from an efficient combination of renewable energy resources that satisfies the power requirement 144 and balances power production with the power to be consumed by the intelligent power distribution network for the specific period of time.
  • the communications component 216 is at least responsible for communicating data to the power settlement module 218, within the power generation module 208, and with the one or more external computing networks 154.
  • the data to be communicated to the power settlement module 218 at least includes the power generating capacity 148 of component 1 16, the commodity selling price range at which the power requirement 144 will be sold for each renewable energy resource 1 14 available at the multi-resource offshore renewable energy installation 104, and the meteorological conditions forecast.
  • meteorological conditions forecast may be included regardless of whether it is represented within the forecasted power capacity 148 of each renewable energy resource component 1 16.
  • the communications component 216 is comprised of one or more processes and circuit elements configured to aggregate and transmit the data to be
  • the communications component 216 therefore also includes logic elements to ensure incoming data from the renewable resource efficiency component 210 and the renewable resource control component 212 is in a form that can be utilized by the power settlement module 218 to settle a transfer of the power requirement 144 in accordance with the present invention.
  • the communications component 216 is also responsible for communicating information from the power settlement module 218 to the renewable resource control component 212 for further input data to the renewable energy resource control systems 214.
  • the operator of the multi-resource offshore renewable energy installation 104 may also have renewable energy selling conditions relative to providing power from certain renewable energy resources 1 14. It is therefore contemplated that the renewable resource efficiency component 210 will be responsible for assessing this information, and the communications component 216 will be responsible for integrating it into data communicated to the power settlement module 218.
  • FIG. 2C is a conceptual diagram of components in a power settlement module 218 according to the present invention.
  • a power settlement module 218 is another series of processes performed across one or more processors within the renewable resource energy management system 100 and is responsible for various global functions, such as settling the sale and purchase of power generated from each renewable energy resource 1 14 and arranging a transfer of power from the multi-resource offshore renewable energy installation 104 to the intelligent power distribution network 102 via the transmission system 106.
  • the power settlement module 218 includes a transaction resolution component 220, a power production, transmission and delivery component 222, and a communications component 224. Within these components, the power settlement module 218 communicates data to all of the power distribution module 200, the power generation module 208, and the power transmission module 226 regarding the transfer of power requirement 144.
  • the transaction resolution component 220 at least performs the function of comparing the commodity selling and purchase price ranges from each of the power distribution module 200 and the power generation module 208 and resolving a final price for power to be generated from each renewable energy resource 1 14 for the specific period of time to satisfy the power requirement 144.
  • the final price is communicated to both the power distribution module 200 and the power
  • the transaction resolution component 220 also determines the amount of power to be produced for each component 1 16 within the power capacity 148 and relative to the power requirement 144 and final price for power to be produced from each renewable energy resource 1 14.
  • the amount of power is contemplated to be expressed in ranges of amounts that represent proposed levels of operation for each component 1 16. This is communicated to the power production transmission and delivery component 222, which generates signals to the power generation module 208 to begin producing power from the renewable resource components 1 16, to the power distribution module 200 to begin preparing to deliver power to each microgrid 108, and to the power transmission module 226 to begin preparing for transmission.
  • the power settlement module 218 therefore communicates, via the
  • each renewable resource component control system 214 takes these signals as input data to further determine which specific apparatus is to generate power, and instructs each controller and/ or sub-control system in each specific apparatus to be used to operate. In this manner, each renewable energy resource component 1 16, and indeed each apparatus therein, can be independently and variably controlled to produce the desired power requirement 144.
  • the power settlement module 218 also includes performs the function of communicating start and stop instructions in one or more signals to the power transmission module 226. These instructions serve to prepare the power
  • transmission module 226 and its components and transmission control system 220 to prepare to transmit the power being generated by the renewable energy resource components 1 16.
  • FIG. 2D is a conceptual diagram of components in a power transmission module 226 according to the present invention.
  • the power transmission module 226 is a series of processes performed across one or more processors within the renewable resource energy management system 100 and is responsible for various transmission-side functions governing the transmission system 106 over which the power requirement 144 is to be sent.
  • the transmission system 106 is a high voltage direct current (HVDC) system that includes a common direct current bus to which a system of voltage source converters (VSCs) 156 and each power output circuit 142 of each apparatus is coupled.
  • the power transmission module 226 includes a transmission control component 228, which receives signals from the power settlement module 218 via a communications component 234 as input data instructive of several processes to be performed in the transmission of the power requirement 144.
  • the transmission control component 228 includes a transmission control system 230 which performs system check functions such as monitoring the power outputs of each apparatus for any over-production or under-production of power and suggesting adjustments to the renewable energy resource control systems 214, and also ensures that power production matches the capacity of the HVDC transmission system 106.
  • the transmission control component 228 also is responsible for beginning and ending power transmission over the specific period of time.
  • the power transmission module 226 includes a voltage source converter (VSC) component 232 configured to operate and monitor the system of voltage source converters 156 coupled to the power output circuits 142 of each apparatus in the renewable energy resource components 1 16.
  • VSC voltage source converter
  • the VSC component 232 helps to ensure that each apparatus and each renewable energy resource component 1 16 produces the desired output by adjusting the voltage step-up, voltage step-down, and rectification components of the system of voltage source converters 156 in response to signals communicated from the power settlement module 218 and also from output data of the transmission control component 228.
  • the power transmission module 226 also includes a communications component 234 which includes one or more processes and circuit elements configured to manage communications and operations within, to and from the power transmission module 226. This includes receiving and processing data from the power settlement module 218 to activate the system of voltage source
  • the present invention includes at least three types of control systems - the microgrid control systems 1 10, the renewable energy resource control systems 214, and the transmission control systems 230.
  • Each of the microgrid control systems 1 10, the renewable energy resource control systems 214, and the transmission control system 230 operate within the distribute computing infrastructure 150 to receive input data from various sources as discussed herein, mathematically model physical systems to be analyzed, and produce specific output signals that help to operate the renewable energy resource management system 100 to generate the power requirement 144 over the specific period of time to achieve one or more objectives of the present invention.
  • Each microgrid control system 1 10 is responsible, in conjunction with the load control component 202, for controlling each microgrid 108 and each power customer 1 12 coupled to each microgrid. Because of the decoupled nature of each microgrid 108, there must be a dedicated system capable of performing one or more control functions, such as assessing the power demand 146 of each microgrid 108, managing power delivery to each customer 1 12 of the microgrid 108, decoupling each microgrid 108 to assume control over distribution and delivery where the need arises, and determining and pushing instructions to each device, meter, or customer 1 12 if needed. Each microgrid control system 1 10 receives as input data signals from multiple sources and models several different systems to produce output signals to perform these functions.
  • each microgrid control system 1 10 receives input data from the one or more power customers 1 12 coupled to each microgrid 108.
  • This input data may be generated and communicated by customers 1 12 themselves, by microgrid controllers operable to collect usage data, and by one or more devices having controllers thereon and coupled to each customer 1 12.
  • the usage data may be requested by the microgrid control system 230 or communicated automatically via communications component 206.
  • this usage data reflects many different variables, such as customer type, importance level, specific requirements, usage history, usage type, any fluctuation tolerance, and a number and type of devices used by each customer 1 12.
  • the microgrid control system 1 10 performs system modeling with these variables for its microgrid 108 and generates an output signal to the load control component 202 indicative of, for the specific period of time, the power demand 146 for that microgrid 108.
  • Each microgrid control system also receives input data in signals from the load control component 202 that includes the amount of power to be delivered to the intelligent power distribution network 102 and compositions that power delivery will have with regard to renewable energy resources 1 14, such as for example alternating current or direct current.
  • the microgrid control systems 1 10 perform system modeling of this data to determine a most appropriate distribution across the customers 1 12 coupled to each microgrid 108, and generates output signals that instruct one or more infrastructure components such as receiving stations, substations, transformers, and other such components how and where to distribute and delivery power to microgrids 108 and customers 1 12.
  • Each microgrid control system 1 10 is responsible for decoupling each microgrid 108 as the need arises.
  • the microgrid control system 1 10 receives input data in a signal from the load control component 202 to decouple and continue to distribute and deliver power to one or more of the microgrids 108 as directed. Similar to above, the microgrid control system 1 10 analyzes this input signal with the modeled system of the decoupled microgrid 108, and determines a most appropriate distribution across customers 1 12 who are to continue receiving power.
  • Each renewable energy resource control system 214 is responsible for controlling each respective renewable energy resource component 1 16 to which they belong.
  • Each renewable energy resource control system 214 receives input signals from on-board controllers in each apparatus, comprised of data
  • the renewable energy resource control system 214 uses the input data to create a system model of how each apparatus will perform over the specific period of time, and generates an output signal for the renewable resource control component 212 to generate a power capacity 148 forecast.
  • each renewable energy resource control system 214 receives an input signal comprised of data representing instructions from
  • renewable energy resource control component 212 for operation of each renewable energy resource component 1 16.
  • the renewable energy resource control system 214 responsible for each component 1 16 then models each component 1 16 with the input data to determine output characteristics regarding operating each component, such as which apparatus (es) to operate to generate power, at what speed and capacity, for how much time, and in what combination. This information is contained within output signals generated for each component 1 16 and each controller in each apparatus.
  • the transmission control system 230 performs a system of checks to ensure proper functioning of both the power outputs of each renewable energy resource component 1 16 and the HVDC transmission system 106.
  • the transmission control system 230 receives input data in signals from the power output circuits 142 of each apparatus or each renewable energy resource component 1 16 or both, prior to connection with the system of voltage source converters 156.
  • the transmission control system 230 compares this data with information from both the power generation module 208 and the power settlement module 218 regarding the known power requirement 144 to determine whether or not power is being under-produced or over-produced. One of two outcomes are decided upon - in the case of a match, the transmission control system 230 does nothing and continues onto the next system check.
  • the transmission control system 230 In the event of a power over or under-production, the transmission control system 230 generates an output signal to one or more of the renewable energy resource control systems 214 to adjust power output up or down. In this way, the transmission control system 230 acts as a feedback loop to one or more of the renewable energy resource control systems 214.
  • the transmission control system 230 also receives input signals from the output circuits of each voltage source converter 156 after voltage has been stepped or down in response to signals from the VSC component 232.
  • the transmission control system 230 models the voltage source converter 156 output data with known tolerance characteristics of either or both of the power requirement 144 and the HVDC transmission system 106, and determines whether or not voltage levels are within expected tolerances. If they are, the transmission control system 230 does nothing and continues with the further system checks. If they are outside expected tolerances, the transmission control system 106 generates an output signal to the VSC component 232 to adjust voltage step and voltage step down where needed in the voltage source converter system 156.
  • the transmission control system 230 further receives data in input signals relative to the power output from the common direct current bus 158, and models this data with known load characteristics of the HVDC transmission system 106. This modeling is performed to ensure the power output being transmitted, either in terms of total capacity or voltage levels, does not exceed the load capacity of the HVDC transmission system 106. If there is a mismatch where load capacity will be exceeded, an output signal is generated either to one or more of the renewable energy resource control systems 214 or to the VSC component 232 to make appropriate adjustments as discussed above.
  • the transmission control system 230 may also generate an output signal activating a power feedback loop to remove excess capacity from the HVDC transmission system 106.
  • the power feedback loop may route excess capacity to storage in a temporary battery or to an installation sub -station configured to provide power to the one or more of the renewable energy resource components 1 16 or to another component area of the multi-resource offshore renewable energy installation 104.
  • FIG. 3 is a system diagram of an electricity grid infrastructure 300 according to another embodiment of the present invention.
  • the electricity grid infrastructure 300 comprises an intelligent power distribution network 102 as part of a renewable energy-based electricity grid that comprises of one or more microgrids 108 each having a power customer 1 12 coupled thereto, a multi-resource offshore renewable energy installation 104, an HVDC transmission system 106, and in one aspect, a distributed management system 302 configured to perform one or more functions such as settling a transaction in which power consumption is substantially balanced to power production.
  • intelligent power distribution network Use of the term "intelligent power distribution network” herein implies that portion of the electricity “grid” which consumes power delivered from any number of sources.
  • Conventional electricity or power "grids” are interconnected networks configured to deliver electricity from suppliers to consumers, or in other words, from sellers to buyers.
  • Typical grids include generating components that produce electricity, transmission components that carry electricity from supplier to receiving locations, and distribution components that carry out activities necessary to ensure that electricity is delivered in the form needed to consumers.
  • Current electricity grid infrastructure is aging and in substantial need of improvement to keep up with a myriad of issues such as increased power demand, instability from fluctuations in power flow, sophisticated end-use technologies, and escalating security concerns.
  • the electricity generation portion of a typical grid topology includes generating plants, which act as sellers, that connect to the transmission portion to move power across distances.
  • the transmission portion connects the sellers with buyers, which are wholesale customers such as companies or municipalities responsible for distribution of power to consumers, to transfer power.
  • Distribution of power involves many different technologies, such as for example substations, transformers, and power lines that ultimately deliver power to end users.
  • One type of electricity grid is a "smart" grid which is capable of predicting behavior of power consumers to achieve policy objectives such as enhancing infrastructure stability, reducing peak demand, and managing overall energy consumption and infrastructure performance. Smart electricity grids do this by attempting to increase automation and communication between the various infrastructure components.
  • microgrid infrastructure 300 may be thought of in a number of ways. It may be comprised of one or more electricity grids, and also as (or instead as) composed of one or more smaller micro-electricity grids, or microgrids 108.
  • Microgrids 108 may represent many different aspects of the overall consumptive framework of the intelligent power distribution network 102. For example, microgrids 108 may be configured to represent different customers or consumers 1 12 of power which is delivered to the overall intelligent power distribution network 102, such as different types of consumers, consumers in different geographical locations, consumers with specific and similar power needs, consumers for whom delivery of power is a public security issue, etc.
  • microgrid is usually understood to mean a subset of an area within a utility grid, and most often, areas embedded in local or small-scale electricity environments, such as buildings or neighborhoods. The term is also often used to refer to micro-site generation of power particular resources, such as solar panels mounted on buildings.
  • Microgrids 108 as contemplated by the present invention are expanded to be areas not necessarily limited by geographical region. Instead, microgrids 108 according to the present invention, while remaining subsets of the larger utility grid, may be separate systems that are coupled to, and capable of being decoupled from, the larger utility grid so that power can be separately delivered thereto.
  • Microgrids 108 may also be allocated for any type of power consumer 1 12, in any location, and relative to any reason for segregating the broader utility grid into smaller microgrids 108.
  • microgrids 108 which comprise the intelligent power distribution network 102 are separately configured so as to be decoupleable from the intelligent power distribution network 102 as the need arises. Such a decoupling could be performed for many different reasons as discussed herein.
  • Microgrids 108 may also be comprised of one or more sub- microgrids that are configured to communicate power needs of specific things that comprise the broader microgrid 108 to which they are a part.
  • the present invention also contemplates that microgrids 108 can be formed, dissolved, and reconfigured at any time by one or more of the modules and microgrid control systems 1 10 disclosed herein.
  • Microgrids 108 therefore have utility in a variety of ways within the present invention.
  • other utilities include ensuring grid infrastructure security and providing specific types of power to different microgrids 108 that need such specialized service. Examples of this are microgrids representing semiconductor-based facilities that specifically requires direct current-based power, and microgrids representing specific components of the intelligent power distribution network itself, such as receiving locations 236, substations, relays, and transformers.
  • each microgrid 108 is connected through at least one computing network 152 to perform the variety of task as discussed herein.
  • a microgrid 108 representing a residential neighborhood would be configured to communicate, using one or more
  • interconnected computing networks 152 the neighborhood's power needs, based on signals received from and / or sent to one or more devices capable of reading, calculating, and predicting the real-time power needs of each resident of the neighborhood.
  • an intelligent power distribution network 102 is an electricity grid that is responsible for supplying power to the entire western United States. Such an intelligent power distribution network 102 would be comprised of many microgrids 108 that represent each sub-region, state, or city in that geographical area, and within that, microgrids 108 that represent specific types of power consumers 1 12. Each of these microgrids 108 would be separately coupled to the intelligent power distribution network 102 so that power requirement 144 for each would be delivered according to the load control component 202 and a respective microgrid control system 1 10.
  • the distributed load management system 302 of the electricity grid infrastructure 300 is responsible coordinating a power delivery to each microgrid 108 together with the microgrid control system 1 10 in an amount that satisfies real-time needs.
  • a microgrid 108 may be representative of key public infrastructure installations, such as for example ports, military sites, water installations such as reservoirs and dams, high-speed rail lines, canals, metro systems, other power generation facilities, manufacturing and production facilities, etc.
  • the present invention further contemplates that because power is generated and transmitted entirely in direct current form by the HVDC transmission system 106, it is possible for power to be supplied to microgrids 108 requiring direct current directly without having to process and transform incoming power at a receiving location 236. This can be done, for example, in a situation where the receiving location itself is under a security threat.
  • Microgrids 108 can be configured, via the power distribution module 200, distributed load management system 302, and microgrid control systems 1 10, to operate entirely on direct current that can be supplied directly by the multi-resource offshore renewable energy installation 104.
  • an intelligent power distribution network 102, and microgrids 108 may be configured to either run entirely on direct current, or to be able to easily switch from requiring alternating current to requiring direct current as the need arises at receiving locations 236 or substations serving particular microgrids 108.
  • an intelligent power distribution network 102, and microgrids 108 may be configured to either run entirely on direct current, or to be able to easily switch from requiring alternating current to requiring direct current as the need arises at receiving locations 236 or substations serving particular microgrids 108.
  • a microgrid 108 may have the ability to switch its represented customers 1 12 to a direct current model, either permanently or temporarily, in such a situation.
  • electricity grid infrastructure 300 is to be configured so that microgrids 108 can be quickly decoupled from the main intelligent power distribution network 102 and supplied with direct current power via the HVDC transmission system 106 in the event of an incident requiring such a decoupling and continued supply of uninterrupted power.
  • the electricity grid infrastructure 300 is a flexibly topology that is capable of expanding and contracting and that supports resiliency and stability when problems that threaten the supply of power arise.
  • a multi-resource offshore renewable energy installation 104 and method of operation provide an intelligent power distribution network 102 with all of its power needs from one source that generates energy from multiple renewable energy resources 1 14.
  • FIG. 4 is a system diagram of a multi-resource offshore renewable energy installation 104.
  • the multi-resource offshore renewable energy installation 104 is an apparatus or series of apparatuses that includes multiple renewable energy resource components 1 16 for generating power that are each derived from a particular renewable energy resource 1 14.
  • the multi-resource offshore renewable energy installation 104 is contemplated to be a deep-ocean, marine installation at sites located far from land, typically in the range of greater than 50km from the nearest onshore intelligent power distribution network 102. However, it is within the scope of the present invention that such a multi-resource offshore renewable installation 104 could be a marine installation located near to the shore and also on freshwater bodies such as lakes and rivers, whether naturally occurring or man- made.
  • the multiple renewable energy resource components 1 16 include a wind component 1 18 deriving power from wind energy, a solar component 122 deriving power from solar energy, a hydrokinetic component 128 deriving power from wave and tidal current energy, and a solar thermal component 136 deriving power from the process of heating ocean water using solar thermal energy.
  • the present invention may also include an ocean thermal energy conversion component 140.
  • Each of the wind component 1 18, the solar component 122, the hydrokinetic component 128, the solar thermal component 136, and the ocean thermal energy conversion component 140 include an array of apparatuses each coupled to a respective renewable energy resource control system 214.
  • the multi-resource renewable energy installation 120 is configured so that a maximum efficient operational power-generating capacity of each apparatus, and each renewable energy resource component 1 16, is achieved.
  • the multi-resource offshore renewable energy installation 104 is therefore intended to present a solution to the problem of inefficiencies that are naturally present in renewable resource components 1 16 generating power from resources such as wind, solar, hydrokinetic, and solar thermal energy.
  • the present invention contemplates that there are numerous ways in which components capable of generating power from multiple renewable energy resources 1 14 can be configured on such multi-resource offshore renewable energy
  • the installation may be a large-scale energy farm with hundreds or thousands of apparatuses working to generate power.
  • Each of the components 1 16 may be configured in any number of ways in such a large-scale energy farm to generate power and take advantage of fluctuations in weather conditions.
  • the multi-resource offshore renewable energy installation 104 is therefore completely scalable from an ultra-high capacity multi-megawatt or gigawatt installation to serve large-scale power consumers 1 12, to a medium to low-capacity installation to serve power consumers 1 12 with smaller demand.
  • FIG. 6 and FIG. 7 show overall perspective and top plan views of embodiments of the multi-resource renewable energy installation 104.
  • the multi-resource offshore renewable energy installation 104 may be both permanent and temporary and have both permanent and temporary components 1 16 as portions thereof to achieve the scalability contemplated herein. It may be entirely fixed so that it anchors to the ocean floor and is therefore a permanent installation. It may also be a floating structure, in whole or in part, with temporary anchoring mechanisms and with some or all of the components 1 16 being movable to other locations as needed. It may further be a combination of permanent and temporary components, for example in a configuration in which power
  • transmission components are in fixed portion while power generating components 1 16 are temporary components that can "dock," as in the case of one or more barges having components installed thereupon, to the permanent components or to other mobile components.
  • the present invention considerably reduces construction and operating costs by implementing technologies that substantially reduce the possibility of lasting environmental damage. With the present invention, there is no need to drill for non-renewable carbon-based resources that may pollute environment as such an installation site.
  • present invention may not require large, expensive, and environmentally damaging power storage components at either the multi-resource offshore renewable energy installation 102 or the intelligent power distribution network 102.
  • the multi-resource offshore renewable energy installation 104 may be a purpose-built semi-submersible production platform that is a floating vessel capable of supporting the renewable energy resource components 1 16 in multiple configurations in deep water and other harsh offshore environments. This provides a mobile yet stable operational platform needed to produce power at the multi- resource offshore renewable energy installation 104 and that is capable of being deployed in different locations, regardless of whether each of the renewable energy resource components 1 16 are permanently part of the multi-resource offshore renewable energy installation 104 or removably and / or temporarily coupled thereto, such as for example on separate pontoons or barges.
  • Stability in such a mobile semi-submersible platform results from, when in an operational position, a hull structure being submerged at a deep draft so that the multi-resource offshore renewable energy installation 104 is less susceptible to wave loadings.
  • Operational components of the semi-submersible platform remain well above the ocean surface.
  • the mobile semi- submersible production platform acquires buoyancy from ballasted components below the surface, and one or more support columns connecting the operational components and the ballasted components.
  • Other anchoring components may also be utilized for further stability of the mobile semi-submersible platform.
  • a mobile semi-submersible production platform as described may be transportable using a heavy-lift installation transport vessel.
  • a heavy-lift installation transport vessel is able to move all or part of the installation 104 by ballasting itself to submerge a majority of its structure, maneuvering beneath the multi-resource offshore renewable energy installation 104, and then deballasting to lift up all or part of the multi -resource offshore renewable energy installation 104 as cargo.
  • the installation 104 may also comprise one or more offshore support vessels that perform various roles, such as operational activities, transmission system support, and emergency support. Each such vessel may be separately mobile so that the multi-resource offshore renewable energy installation 104 is composed of many interchangeable parts.
  • Each renewable energy resource component 1 16 may itself be embodied on a mobile semi- submersible platform as well. Therefore, the entire multi-resource offshore renewable energy installation 104 can be thought of as a being deployable in any configuration necessary to meet the objectives of the present invention.
  • Offshore support vessels such as a transmission system support vessel may be a key consideration for engineers and planners in the mobile aspect of the semi- submersible production platform that forms all or part of a multi-resource offshore renewable energy installation 104.
  • Transmission system support is a consideration in order to ensure that regardless of where the multi-resource offshore renewable energy installation 104 and/ or the multiple renewable energy resource components 1 16 are deployed, access to the high voltage direct current transmission system 106 is available to transfer power to the intelligent power distribution network 102.
  • vessels such as those providing transmission system support may provide node-based transmission cables for easy and remote access to a main undersea transmission line, particularly where the multi-resource offshore renewable energy installation 104 is mobile semi-submersible production platform.
  • the multi-resource offshore renewable energy installation 104 may include a main operational platform, semi- submersible or otherwise, where multiple mobile semi-submersible production platforms connect to a main transmission line supported by such offshore support vessels.
  • Such a configuration permits the multi-resource offshore renewable energy installation 104 to include multiple mobile semi-submersible production platforms supporting renewable energy resource components 1 16 that may be spread out over hundreds of kilometers and connected by transmission cables that are branches of the node at the main operational platform.
  • the multi-resource offshore renewable energy installation 104 includes a solar component 1 18 for generating power from solar energy.
  • Components generating power from solar energy are known as photo voltaics, which convert solar rays into electricity using panels, or modules, composed of solar cells containing a photovoltaic material.
  • the present invention contemplates that the solar energy component 1 18 is comprised of many such photovoltaic modules 124 mounted on one or more mounting systems 126.
  • Mounting systems 126 may be either tracking or fixed mounting systems and photovoltaic modules 124 may be mounted in any configuration thereon, such as for example in portrait
  • the present invention contemplates that at least one of the circuits connecting an array of photovoltaic modules 124, the tracking mounting systems 126, and individual photovoltaic modules 124 include one or more controllers capable of sending input data in signals to a renewable energy resource control system 214, as well as capable of receiving signals therefrom. These controllers are capable of moving or tilting an angle of inclination of each array of photovoltaic modules 124 on a tracking mounting system 126 operable at the multi-resource offshore renewable energy installation 104 in response to an output signal of a renewable energy resource control system 214.
  • one or more renewable resource control systems 214 are configured to control the photovoltaic modules 124 and tracker mounting systems 126 and communicate with controllers coupled to each to maximize operational capacity of the solar component 1 18. Where control systems 214 operate to generate responses in the photovoltaic modules 124 directly, it is contemplated that control over specific photovoltaic modules and in arrays of photovoltaic modules 124 as a whole are both within the scope of the present invention.
  • the controllers in each photovoltaic module or in each array of photovoltaic modules 124 are configured, in one aspect, to communicate at least a real-time operational ability and power capacity 148 of each photovoltaic module or array of photovoltaic modules 124 and real-time sunlight availability conditions, and in another aspect, to respond to output signals generated by the control system 214 to perform a host of actions, such as for example controlling power output circuits 142 in response to instruction from the power settlement module 218.
  • controllers in each tracking mounting system 126 are configured, in one aspect to, communicate at least a real-time operational availability of each tracking mounting system 126 and real-time sunlight availability conditions, and in another aspect, to respond to output signals generated by the control system 214 to perform actions such as adjusting the angle of inclination, or switching power generation circuits on or off where multiple photovoltaic modules 124 are connected together thereon.
  • Photovoltaic modules 124 are solid state devices that typically generate a power output as direct current electricity. Because of this, the power output of each array of photovoltaic modules 124 can be provided directly to the system of voltage source converters 156 and the common direct current bus 158 in the HVDC transmission system 106, eliminating the need for further components such as inverters to convert from one current form to another.
  • the HVDC transmission system 106 must still account for variances in both the voltage output of each photovoltaic module or array of photovoltaic modules 124 and with power outputs of other components 1 16, depending on the output configuration, and therefore the transmission control system 230 monitors the power output of each as discussed here.
  • the transmission control system 230 may act as feedback for the renewable energy resource control system 214 where power output needs to be adjusted to ensure common voltage levels across the common direct current bus 158, may therefore generate an output signal to adjust one or more components of the solar component 1 18 accordingly.
  • the transmission control system 230 may also monitor and instruct the system of voltage source converters 156 to either step up the output voltage or step down the output voltage as needed to ensure a uniform voltage level across the common direct current bus 156. Regardless, the present invention ensures that the power output is properly monitored and adjusted for transmission, distribution and delivery.
  • both the power generation module 208, the renewable energy resource control systems 214, transmission control system 230, and the voltage source converters 156 allow for very flexible operation of photovoltaic modules 124 to arrive at a proper power production capacity that satisfies the power requirement 144 over the specific period of time, as other systemic objectives such as transmission system stability.
  • This flexibility allows for substantial design freedom in selecting components.
  • Solar cells forming photovoltaic modules 122 may be made of any material suitable for installation in deep-ocean conditions so that the photovoltaic modules 122 are able to maintain operating capacity in potentially difficult weather conditions far from shore.
  • materials such as nanocrystalline silicon in which the photovoltaic materials embedded with nanonparticles may have particular utility in installations such as those disclosed herein, where weather conditions make maintenance a significant challenge.
  • Nanoparticles may be further embedded with components such as microcontrollers which are capable of communicating certain operating conditions to the renewable resource control system 214 responsible for the photovoltaic module 124, array of photovoltaic modules 124, and tracking mounting system 126 having photovoltaic modules 124 installed thereon.
  • Use of photovoltaic modules 124 fabricated of materials of this type may increase the ability to assess real-time operational availability and real-time weather conditions, and increase overall durability of the solar component 1 18.
  • Photovoltaic modules 124 and mounting systems 126 may be either fixed or permanent components of the multi-resource offshore renewable energy
  • an array of photovoltaic modules 124 may also be part of a floating installation of renewable resource components 1 16, or a fixed installation with support that is permanently anchored to the seabed.
  • Floating installations do not require permanent anchoring mechanisms and can be positioned, for example, on pontoon-based supports or on barges, reducing the environmental impact and increasing the scalability of the multi- resource offshore renewable energy installation 104.
  • Floating installations may also be capable of being raised and lowered as needed to protect photovoltaic modules 124 and mounting systems 126, and keep them operational, in the event of storms, rough seas, very large waves, or other adverse environmental conditions.
  • Cooling of photovoltaic modules 124 can be achieved from winds at the installation site or from the ocean water itself, particularly where ocean thermal energy conversion components are implemented that produce desalinized water from heating ocean water. Floating or temporary structures also provide the benefit of allowing photovoltaic modules 124 to be installed and used to generate power in locations, particularly very deep ocean waters, where seabed anchoring is not feasible.
  • the wind component 1 18 is comprised of a plurality of large-scale, large capacity, commercial high-speed wind turbines 120.
  • Each wind turbine 120 includes a rotor with blades turning about either a horizontal or vertical axis, and has a controller resident within a nacelle, coupled to operational and power- generating circuit elements.
  • the present invention contemplates that the wind component 1 18 is comprised of an array of wind turbines 120 each coupled to a respective renewable energy resource control system 214.
  • One or more of the renewable resource control systems 214 are configured to control the wind turbines 120 by receiving input data from and sending output signals to controllers coupled to operational and power-generating output circuits inside each nacelle.
  • The are configured, in one aspect, to communicate at least a real-time operational availability and power capacity 148 of each wind turbine 120, and in another aspect, to respond to output signals generated by control system 214 to perform a host of actions, such as for example turning an power output circuit 142 on or off, adjusting rotor speed, or where applicable, rotating each rotor to maximize operations under changing wind conditions, in response to instruction from the power settlement module 218.
  • Wind turbines 120 commonly generate a power output in alternating current form.
  • the power output of each wind turbine 120 therefore needs to be rectified to direct current prior to connection to the common direct current bus 158, and voltage source converters 156 adjust the voltage level with either voltage step -up or step-down transformers to ensure a compatible voltage level.
  • Power outputs of all of the wind turbines 120, and the voltage output level of the system of voltage source converters 156, are monitored by the transmission control system 230, in addition to the power outputs of all other apparatuses that are being operated to generate power, to make further adjustments if necessary as discussed herein.
  • the transmission control system 230 must still however account for variances in the voltage of each such power output, and therefore would monitor the power output and voltage source converters 156 as above, in conjunction with power output of other apparatuses of other renewable energy resource components 1 16 and in conjunction with each renewable energy resource control system 214, and make adjustments accordingly.
  • the present invention further contemplates that in this manner, as with other renewable energy resource components 1 16, both the power generation module 208, the renewable energy resource control systems 214, transmission control system 230, and the voltage source converters 156 allow for very flexible operation of the wind turbines 120 to arrive at a proper power production capacity that satisfies the power requirement 144 over the specific period of time, as other systemic objectives such as transmission system stability.
  • wind turbine rotors may be axially rotatable to maximize capacity where wind direction changes over time.
  • One or more rotors on a wind turbine tower may also be movable so that it can either function as a wind turbine 120 or wave turbine 130 or 134 as further discussed herein.
  • Multiple rotors on each tower may be used for to function as power generating devices for both sources, so that one rotor is a wind turbine 120, while the other is a wave turbine 130 or 134.
  • wind turbines 120 may be coupled so as to be either a fixed or permanent components of the multi-resource offshore renewable energy installation 104, or temporarily coupled thereto so as to be mobile and deployable to different locations or as needed. Regardless, an array of wind turbines 120 may also be mounted on a floating structure that allows each wind turbine 120 to generate electricity in deep ocean waters where seabed anchors or piles are not feasible, or on a fixed structure with support that is permanently anchored to the seabed.
  • the fixed structure may be the tower supporting the wind turbine 1 18 itself. Floating installations do not require permanent anchoring mechanisms and can be positioned, for example, on pontoon-based supports or on barges, reducing the environmental impact and increasing the scalability of the multi-resource offshore renewable energy installation 104.
  • the hydrokinetic component 128 may include multiple types of apparatuses, each of which utilize some type of wave conversion to harness energy from movement of water, whether based on surface waves, sub-surface currents, or tides, to generate electrical power output. These wave energy conversion devices are well-suited for deep water applications as disclosed herein, as deep water waves and currents generate greater energy and therefore are more useful at generating power in high-capacity installations.
  • the present invention includes at least one of surface wave turbines 130, oscillating water columns 132 and sub-surface or undersea wave turbines 134 within the hydrokinetic component 128.
  • the surface and sub-surface wave turbines 130 and 134 are contemplated to be large-scale, large capacity, commercial turbines each having a rotor with blades turning about either a horizontal or vertical axis to generate power.
  • Each turbine has a controller resident within a nacelle, coupled to operational and/ or power- generating output circuits.
  • Oscillating water columns 132 generate power as waves enter and exit a partially submerged collector, causing a water column inside the collector to rise and fall and drive air inside the column into a turbine.
  • the turbines have controllers coupled to operational and/ or power-generating output circuits therein.
  • the present invention contemplates that the hydrokinetic component 128 is comprised of an array of each of the surface wave turbines 130, oscillating water columns 132, and sub-surface wave turbines 134.
  • Each surface wave turbine 130, oscillating water column 132, and subsurface turbine 134 is coupled to one or more renewable energy resource control systems 214 configured to control the hydrokinetic component 128 and generate output signals to controllers coupled to each surface wave turbine 130, oscillating water column 132, and sub-surface turbine 134 to separably and variably operable each apparatus.
  • the controllers are configured, in one aspect, to communicate at least a real-time operational availability and power capacity 148 of each surface wave turbine 130, oscillating water column 132, and sub-surface turbine 134, and in another aspect, to respond to output signals generated by the renewable energy resource control system 214 to perform a host of actions, such as for example turning power output circuits 142 on or off, adjusting rotor speed, adjusting a water depth at which ocean water is obtained in the case of the oscillation water columns 130, or where applicable, rotating each rotor to maximize operations under changing surface wave or ocean current conditions, in response to instruction from the power settlement module 218.
  • a host of actions such as for example turning power output circuits 142 on or off, adjusting rotor speed, adjusting a water depth at which ocean water is obtained in the case of the oscillation water columns 130, or where applicable, rotating each rotor to maximize operations under changing surface wave or ocean current conditions, in response to instruction from the power settlement module 218.
  • Factors having substantial influence on operational availability and power capacity 148 of each surface wave turbine 130, oscillating water column 132, and sub-surface wave turbine 134, and the ability to variably operate each, are meteorological conditions such as surface wave and sub-surface ocean current strength , which may be continuously measured at the offshore multi-resource renewable energy installation 120.
  • the hydrokinetic components 128 are assumed to generate a power output in alternating current form. Where this is the case, the power output of each surface wave turbine 130, oscillating water column 132, and sub-surface turbine 134 therefore needs to be rectified to direct current prior to connection to the common direct current bus 158, and voltage source converters 156 adjust the voltage level with either voltage step-up or step-down transformers to ensure a compatible voltage level. Power outputs of all of the surface wave turbines 130, oscillating water columns 132, and sub-surface wave turbines 134, and the voltage output level of the system of voltage source converters 156, are monitored by the transmission control system 230, in addition to the power outputs of all other apparatuses that are being operated to generate power, to make further
  • the transmission control system 230 must still however account for variances in the voltage of each such power output, and therefore would monitor the power output and voltage source converters 156 as above, in conjunction with power output of other apparatuses of other renewable energy resource components 1 16 and in conjunction with each renewable energy resource control system 214, to make adjustments accordingly.
  • both the power generation module 208, the renewable energy resource control systems 214, transmission control system 230, and the voltage source converters 156 allow for very flexible operation of the surface wave turbines 130, oscillating water columns 132, and sub-surface turbines 134 to arrive at the proper power production capacity that satisfies the power requirement 144 over the specific period of time, as well as transmission system stability and other objectives.
  • surface or sub -surface wave turbine rotors may be axially rotatable to maximize capacity where wave or current direction changes over time.
  • One or more rotors on a turbine tower may also be movable so that it can either function as a wind turbine 120 or wave turbine 130 or 134.
  • Multiple rotors on each tower may be used for to function as power generating devices for both sources, so that one rotor is a wind turbine 120, while the other is either a surface wave turbine 130 or a sub-surface wave turbine 134.
  • the various apparatuses comprising the hydrokinetic component 128 may also be coupled so as to be either a fixed or permanent component of the multi- resource offshore renewable energy installation 104, or temporarily coupled thereto so as to be mobile and deployable to different locations or as needed.
  • any of the surface wave turbines 130, oscillating water columns 132, and subsurface wave turbines 134 may also be mounted on a floating structure that allows each apparatus to generate electricity in deep ocean waters where seabed anchors or piles are not feasible, or on a fixed structure with support that is permanently anchored to the seabed.
  • the fixed structure may also be a tower supporting a surface turbine 130 or sub-surface wave turbine 134 itself.
  • Floating installations do not require permanent anchoring mechanisms and can be positioned, for example, on pontoon-based supports or barges, reducing the environmental impact and increasing the scalability of the multi-resource offshore renewable energy installation 104.
  • Pontoons and barges floating on the ocean surface may support any of the surface wave turbines 130, oscillating water columns 132, or subsurfaces wave turbines 134, either separately or in combination.
  • a platform of multiple oscillating water columns 132 may also be capable of being raised or lowered as necessary to protect the equipment to keep them operational, such as in case of storms, rough seas, very large waves, or other adverse environmental conditions. This helps to ensure that waves are capable of entering and exiting the water column 130 to ensure continued operation of this portion of the hydrokinetic component 128, allow for easier maintenance, and to ensure that damage does not occur.
  • the solar thermal component 136 utilizes thermal energy, or heat, harnessed from solar energy.
  • the solar thermal component 136 includes an array of high-temperature solar thermal collectors 138 that use lenses and mirrors to capture and intensify the sun's rays to heat ocean water, which generates steam that drives a turbine generator.
  • High-temperature solar thermal collectors 138 include intake systems through which ocean water is collected and transported to be heated. These can be configured to collect ocean water at variable water depths to maximize the operational performance of each collector 138, since the
  • High-temperature solar thermal collectors 138 may be mounted on tracking- type mounting systems to maximize operational efficiency, so that the angle of tilt or inclination is moveable to account for different positions of the sun at different times of the day and year. Lenses and mirrors may also be mounted on movable systems to increase the ability of each collector 138 to maximize its operating efficiency. High-temperature solar thermal collectors 138 may be of any
  • Typical conventional designs include parabolic troughs, towers, parabolic dishes, Fresnel reflectors, and other design capable of high -temperature operation.
  • One or more renewable resource control systems 214 are configured to control the high temperature solar thermal collectors 138, the system of mirrors and lenses, and the tracking mounting systems on which both are mounted, and communicate with controllers coupled to operational and power-generating output circuits.
  • the controllers are configured, in one aspect, to communicate at least a real-time operational availability and power capacity 148 of each apparatus and real-time sunlight availability conditions, and in another aspect, to respond to output signals generated by the control system 214 to perform a host of actions, such as for example turning power output circuits 142 on or off in response to instruction from the power settlement module 218, and rotating, turning, or adjusting the angle of inclination of any of the high-temperature solar thermal collectors 138, system or mirrors and lenses, and tracking mounting systems.
  • the solar thermal energy components 134 contemplated herein are assumed to generate a power output in alternating current form. Where it is generated as alternating current, the power output of each high-temperature solar thermal collector 138 therefore needs to be rectified to direct current prior to connection to the common direct current bus 158, and voltage source converters 156 adjust the voltage level with either voltage step-up or step-down transformers to ensure a compatible voltage level. Power output of all of the high-temperature solar thermal collectors 138, are monitored by the transmission control system 230, in addition to the power outputs of all other apparatuses that are being operated to generate power, to make further adjustments if necessary as discussed herein.
  • the transmission control system 230 must still however account for variances in the voltage of each such power output, and therefore would monitor the power output and voltage source converters 156 as above, in conjunction with power output of other apparatuses of other renewable energy resource components 1 16 and in conjunction with each renewable energy resource control system 214, to make adjustments accordingly.
  • both the power generation module 208, the renewable energy resource control systems 214, transmission control system 230, and the voltage source converters 156 allow for very flexible operation of high-temperature solar thermal collectors 138 to arrive at the proper power production capacity that satisfies the power requirement 144 over the specific period of time, as well as transmission system stability and other objectives. This flexible operational approach allows for many different
  • the high-temperature solar thermal collectors 138 within the scope of the present invention.
  • different types of collector designs may be used in combination, together with different types and configurations of mirrors and lenses.
  • High-temperature solar thermal collectors 138 may also be coupled so as to be either a fixed or permanent components of the multi-resource offshore renewable energy installation 104, or temporarily coupled thereto so as to be mobile and deployable to different locations or as needed.
  • any of the high -temperature solar thermal collectors 138, lenses and mirrors, and mounting systems may also be mounted on a floating structure that allows each apparatus to generate electricity in deep ocean waters where seabed anchors or piles are not feasible, or on a fixed structure with support that is permanently anchored to the seabed, or both.
  • Floating installations do not require permanent anchoring mechanisms and can be positioned, for example, on pontoon-based supports or on barges, reducing the environmental impact and increasing the scalability of the multi-resource offshore renewable energy installation 104.
  • Floating installations may also be capable of being raised and lowered as needed to protect equipment, components and mounting systems, and keep them operational, in the event of storms, rough seas, very large waves, or other adverse environmental conditions. Cooling capability can be generated from the ocean water itself, particularly in floating structures and particularly where ocean thermal energy conversion components are implemented that produce desalinized water from heating ocean water.
  • High-temperature solar thermal collectors 138 may be used to generate power either during the day or at night, since heat can be stored in large quantities to be supplied to the steam cycle of the collectors at night.
  • the present invention therefore contemplates, that heat storage tanks may be also components on the multi-resource offshore renewable energy installation 104.
  • the multi-resource offshore renewable energy installation 104 may also be configured to include an ocean thermal energy conversion component 140 to generate a power output based on differences between cooler deep water and warmer shallow or surface water. This difference is used to generate steam which operates a turbine to generate electricity.
  • Different types of systems may be incorporated, such as closed, open, or hybrid systems which take advantage of the water temperature variations in different ways.
  • One such closed-loop system boils warm surface seawater directly in a low-pressure container.
  • the resulting expanded steam which becomes pure fresh water as a result of losing its salt, drives a turbine attached to an electrical generator. It can then be condensed into a liquid by exposure to cold temperatures from waters found greater depths in a different chamber. This has the potential to produce desalinized fresh water, suitable for drinking water at the offshore installation site or transmission for onshore use.
  • an additional source of power for the power is also be configured to include an ocean thermal energy conversion component 140 to generate a power output based on differences between cooler deep water and warmer shallow or surface water. This difference is used to
  • this renewable resource 1 14 can be used to self-power the offshore multi-resource renewable energy installation 120, together with any feedback loop incorporated in any of one of the power output circuits 142 to make use of excess capacity generated.
  • This component is well-suited for such uses, because the temperature variances between water at different depths may be not enough for large-capacity power production. However, it is likely that at deep ocean installations, water depths will be great enough to generate some notable difference in temperatures, thereby providing at least one source of power for the multi- resource offshore renewable energy installation 104 itself.
  • Use of a renewable energy resource component 1 16 to self-power the multi-resource offshore renewable energy resource installation 120 reduces the environmental impact of the installation by reducing the need for connecting to a non -renewable source of power.
  • the ocean thermal energy component 140 may communicate with one or more renewable resource control systems 214 and the transmission control system 230 to generate power to satisfy the power requirement 144.
  • These control systems are configured to control the ocean thermal energy component 140 and communicate with controllers coupled to operational and power-generating output circuits inside each apparatus to separably and variably operate each one. The controllers are therefore
  • the renewable energy resource control system 214 configured, in one aspect, to communicate at least a real-time operational availability and power capacity 148 of an ocean thermal energy component 140, and in another aspect, to respond to output signals generated by the renewable energy resource control system 214 to perform actions such as turning power output circuits 142 on or off, and adjusting a water depth at which ocean water is obtained in response to instruction from the power settlement module 218.
  • Meteorological conditions such as changes in sea water temperature at different depths have substantial influence on the operational availability of each ocean thermal energy component 140 and the ability to variably operate each, and therefore these are continuously measured at the offshore multi-resource renewable energy installation 120.
  • the ocean thermal energy components 140 contemplated herein are also assumed to generate a power output in alternating current form, and therefore the power outputs needs to be rectified to direct current prior to connection to the common direct current bus 158, and voltage source converters 156 adjust the voltage level with either voltage step-up or step-down transformers to ensure a compatible voltage level. Power outputs of all of the ocean thermal energy
  • components 140 are monitored by the transmission control system 230, in addition to the power outputs of all other apparatuses that are being operated to generate power, to make further adjustments if necessary as discussed herein.
  • Ocean thermal energy components 140 may be either fixed or permanent components of the multi-resource offshore renewable energy installation 104, or temporarily coupled thereto so as to be mobile and deployable to different locations or as needed. Regardless, they may also be part of a floating installation of renewable resource components 1 16, or a fixed installation with support that is permanently anchored to the seabed. Floating installations do not require permanent anchoring mechanisms and can be positioned, for example, on pontoon- based supports or on barges, reducing the environmental impact and increasing the scalability of the multi-resource offshore renewable energy installation 104. Floating installations may also be capable of being raised and lowered as needed to protect ocean thermal energy converters 140, and keep them operational, in the event of storms, rough seas, very large waves, or other adverse environmental conditions.
  • the various embodiments of the present invention can be configured in many different ways.
  • the present invention is contemplated to be available as a "packaged" configuration of multiple processes, hardware, and apparatuses that together act as a self-contained system.
  • Such a self-contained system can be deployable and scalable for temporary uses, such as to provide power grid infrastructure such as in a field military base or large-scale disaster response situations.
  • Distributed computing infrastructure 150 provides a computing and network operational architecture for the renewable resource energy management system 100, multi-resource offshore renewable energy installation 104, and electricity grid infrastructure 300 of the present invention.
  • infrastructure 150 utilizes the combined computing power of multiple
  • the distributed computing infrastructure 150 is therefore a high-level computing architecture designed to spread computational power around multiple computing environments in a distributed fashion and which aggregates the many interconnected computing networks 152 to perform the multiple processes needed to host and perform the present invention.
  • the various modules and control systems of the present invention may therefore be thought of as utilizing one or more available computing resources as needed from across the distributed computing infrastructure 150, regardless of where particular elements of each are stored.
  • system elements such as control systems may be thought of as being "embedded” at various points within the distributed computing infrastructure 150, such as for example renewable energy resource control systems 214 may be embedded within one or more controllers capable of operating each renewable energy resource component 1 16. Regardless, it is to be understood that many different configurations are possible and contemplated within the distributed computing infrastructure 150.
  • the distributed computing infrastructure 150 employs cloud computing principles and technology to provide a distributed platform and resources for hosting multiple modules and data access, processing, modeling, and storage, as well as communication between infrastructure systems and
  • the distributed computing infrastructure 150 may also be thought as a grid computing architecture in which middleware provides the link between the various modules and control systems of the present invention to facilitate distributed data processing.
  • the present invention employs the cloud- based or grid-based distributed computing infrastructure 150 and interconnected computing networks 152 in multiple ways to meet the operational functions and objectives disclosed herein. Additionally, it is to be understood that
  • communications with the distributed computing infrastructure 150 may be through both wired and wireless means.
  • Microgrid control systems 200 may be resident anywhere within the cloud or grid- based distributed computing infrastructure 150 and utilize interconnected computing networks 152 and controllers to collect input data regarding the microgrid 108 and the power customers 1 12 coupled thereto, mathematically model power needs relative to physical characteristics of the microgrid system they are responsible for controlling, and generate output data used in one aspect to arrive at the power demand 146 for the microgrid 108, and in another aspect, to manage delivery of the necessary power requirement 144 to each microgrid 108 as discussed herein.
  • the distributed computing infrastructure 150 may be a privately-hosted, shared computing environment in which secure data
  • computing infrastructure 150 according to this aspect of the present invention has substantial application in supporting enhancements in power grid infrastructure security given the increasing need to protect power grid infrastructure from security threats as noted in detail herein.
  • Microgrid 108 decoupling has specific application in grid infrastructure security, together with the distributed, decentralized nature of the computing environment.
  • the distributed computing infrastructure 150 allows communication and connectivity of modules and control systems, and data functions and services managed and controlled by them, to be re-routed and re-deployed where necessary, permitting power to continue to be delivered uninterrupted in the event of a major security threat or attack intended to disrupt flow of power to key public
  • the distributed computing infrastructure 150 is capable of facilitating access and communication with one or more external computing networks 154 to carry out one or more tasks in practicing the present invention. Data from these types of external networks 154 provide information needed by one or more modules and control systems of the present invention.
  • An example an external computing network 154 is an energy commodity trading platform 160 or other public or private exchange involving commodities and capable of providing pricing of commodities.
  • Another example is a weather satellite system 162 capable of providing meteorological data.
  • the renewable energy management system 100 and the multi-resource offshore renewable energy installation 104 embodiments of the present invention it is imperative to assess both meteorological conditions and energy commodity prices to arrive at both an optimized sale price for each renewable energy resource 1 14 to be purchased and an efficient operational availability and power capacity 148 for each renewable resource component 1 16.
  • an operator of a multi-resource offshore renewable energy resource installation 120 may model meteorological conditions at the installation site and energy commodity prices to forecast an operational availability and power capacity 18 of each renewable energy resource component 1 16 at the installation.
  • Monitoring and modeling meteorological conditions is a function performed by one or more of the power generation module 208, the power distribution module 200, and the power settlement module 218 in the renewable energy resource management system 100, by one or more renewable resource control systems 214 in the multi-resource offshore renewable energy installation 104, and by one or more of various modules and control systems in the distributed management system 302 in the electricity grid infrastructure 300 according to different embodiments of the present invention.
  • This function is used to forecast of meteorological conditions over the specific period of time so that the power requirement 144 can be satisfied, so that the operational power capacity 148 of each renewable resource component 1 16 at a multi-resource offshore renewable energy installation 104 is maximized to ensure efficiency and cost-effectiveness, and to balance power production with power consumption.
  • meteorological conditions are contemplated with the scope of the present invention, and therefore it is possible that many external networks 154 are to be used to access such data.
  • meteorological conditions to be measured include wind speed and direction influenced by weather patterns indicating storms, sunlight conditions including time of sunrise and sunset, cloud patterns, surface and sub-surface ocean wave, current and tidal conditions and patterns, ocean temperature at various depths, humidity, barometric pressure, precipitation, and many other variables, each of which alone or in combination affect the performance, availability, and capacity of the renewable energy resource components 1 16 available at the multi-resource offshore renewable energy installation 104.
  • monitoring and modeling renewable energy resource commodity pricing is also a function performed by one or more of the power generation module 208, the power distribution module 200, and the power settlement module 218 in the renewable energy resource management system 100, by one or more renewable resource control systems 214 in the multi-resource offshore renewable energy installation 104, and by one or more of various modules and control systems in the distributed management system 302 of the electricity grid infrastructure 300 according to different embodiments of the present invention.
  • This function is used to forecast both a commodity purchase price, in the case of the intelligent power distribution network 102, and a commodity selling price, in the case of the multi- resource offshore renewable energy installation 104, over the specific period of time, for each renewable energy resource 1 14 available to satisfy the power requirement 144.
  • Commodity pricing is a component of satisfying the power requirement 144 because energy prices fluctuate widely over time and for each type of renewable energy resource 1 14, whether it be solar, wind, hydrokinetic, solar thermal, ocean thermal, or any other energy resource.
  • Incorporating a commodity pricing component allows an efficient operational power capacity 148 of each renewable energy resource component 1 16 to be achieved, and informs a cost-effective, efficient exchange of resources by allowing both the buyer of power and the seller of power arrive at a price point for each resource. Therefore, monitoring and modeling renewable energy commodity prices helps the power requirement 144 to be satisfied, and helps to predict the operational power capacity 148 of each renewable resource component 1 16 to maximize efficiency and cost-effectiveness. It is contemplated that least some of the renewable energy resources 1 14 from which power is to be generated are traded within one or more energy commodities exchanges. It is therefore further contemplated that a forecast of commodity prices must take into account at least those that are traded on exchanges.
  • Types of external computing networks 154 that may be accessed to monitor and forecast meteorological conditions include, but are not limited to, proprietary weather assessment networks, sites capable of accessing data from weather satellites, governmental weather system portals, other particular weather-related websites, and any other networks capable of aggregating useful data relative to assessing and predicting meteorological conditions.
  • Types of external computing networks 154 that may be accessed to monitor and forecast energy commodity prices include, but are not limited, proprietary commodities exchange trading platforms, particular commodities pricing information sites, and any other networks capable aggregating useful commodity price information that can be used to assess and predict energy commodity prices.
  • the distributed computing infrastructure 150 may also host one or more artificial neural networks tasked with heuristically modeling data within the present invention to perform a variety of functions, such as predicting commodity pricing and meteorological conditions, assessing power usage patterns and power 146 customers, and assessing power capacity 148 of the renewable energy resource components 1 16.
  • These artificial neural networks introduce data modeling tools to the framework of the various embodiments of the present invention to heuristically model the complex relationships between inputs and outputs of data and to identify and take advantage of data patterns.
  • Artificial neural networks may take on many forms within the distributed computing infrastructure 150, such as for example multiple remote computing environments or program calls that are accessed when needed by the modules and control systems within the present invention.
  • Artificial neural networks therefore may perform a critical role in increasing and improving the efficiency of the present invention by, for example, heuristically assessing weather conditions at the deep-ocean location of the multi-resource offshore renewable energy installation 104 site to learn how to predict when weather conditions are most and least favorable for operation of a particular renewable resource component 1 16, and by heuristically assessing future trends in energy commodity prices to learn how to predict when pricing of commodities is most and least favorable for operation of the particular renewable resource component 1 16 and predict a range of prices at which commodities are to be both bought and sold, and combining the two concepts to further increase efficient performance within the present invention.
  • Heuristic modeling in artificial neural networks can be performed alone or as part of the many variables and characteristics that comprise modeling and forecasting for energy commodity prices and meteorological conditions. It may also help to identify instances where one or more of the modules and control systems operative within the present invention should buy, sell, or trade, financial instruments in conjunction with commodity prices of renewable energy resources 1 14. Artificial neural networks may therefore be a useful tool, incorporated with other mathematical modeling within the present invention, to predict energy commodity pricing trends and when hedging may be advantageous.
  • the microgrid control system 1 10 may initiate a program call to introduce a separate predicted assessment of power usage as part of a closed-loop system of analyzing output signals of the microgrid control system 1 10.
  • a program call initiates a heuristic assessment of data aggregation reflecting different usage components, usage type, any fluctuation tolerance over the specific period of time at issue which may influence load variances, and other possible variables affecting power demand 146 as noted herein.
  • Artificial neural networks may therefore have significant application acting as data modeling checks to ensure, for example, that error rates are properly managed.
  • FIG. 5 is a system diagram of components of a power transmission system in accordance with the various embodiments of the present invention, indicating power outputs of the renewable energy resource components 1 16 connected to an HVDC transmission system 106, which includes a sub-sea high-voltage direct current link that transfers power generated by the multi-resource offshore renewable energy installation 104 to the intelligent power distribution network 102.
  • Power output circuits 142 feed into a system of one or more voltage source converters 156 that ensure that each renewable energy resource component 1 16, and each apparatus therein, produces a power output in the proper current at a common or constant voltage level for connection to a common direct current bus 158 connected to the HVDC transmission system 106.
  • All renewable energy resource components 1 16 and apparatuses of the multi-resource offshore renewable energy installation 104 are directly connected to the system of voltage source converters 156 and the common direct current bus 158 in the HVDC transmission system 206, either in series or in parallel depending on the power output of each, so that a direct current power output is fed into the voltage source converters 156 and the common direct current bus 158 of the HVDC transmission system 106.
  • a power output circuit 142 generates AC-based power, it first passes through a rectifier circuit prior to entering a voltage source converter 156 to ensure all electricity entering the common bus 158 is direct current.
  • the HVDC transmission system 106 also allows each renewable energy resource component 1 16 to be independently and variably operated because the system of voltage source converters 156, together with any rectifiers needed to convert AC to DC, conduct the necessary power output transformation to ensure consistent and common voltage and current.
  • the HVDC transmission system 106 therefore supports full operational variability of the renewable energy resource components 1 16 at the multi-resource offshore renewable energy installation 104 to adjust power capacity 148 as needed to satisfy the power requirement 144 relative to all other considerations discussed herein, since designers need not be primarily concerned with the effects of adjusting power capacity 148 on voltage levels.
  • This design allows for scalability of the multi-resource offshore renewable energy installation 104 to accommodate hundreds and thousands of apparatuses within each component 1 16.
  • Traditional and existing installations are usually single-resource and are connected to electricity grids either in close proximity thereto and/ or under the assumption that because of the small percentage of its relative share of the overall power supply, its size and influence require less stringent attention to connection requirements.
  • electricity grids require more and more power from renewable resources, and multi-resource installations become economically feasible both onshore and at deep sea locations far away from land, the design importance of power electronics considerations increases dramatically.
  • the voltage source converters 156 allow system designers to reduce the complexity of output circuits 142 of each apparatus of each renewable energy resource component 1 16, since extra converters in power output circuits 142 are not necessary. This allows for much easier independent and variable operation of apparatuses and devices that produce power from renewable energy resources.
  • HVDC transmission provides direct current electricity to one or more onshore receiving locations 236 prior to delivery to the intelligent power
  • the present invention contemplates that electricity can be inverted to AC for those portions of the intelligent power distribution network 102 needing AC, diverted to selected DC-only or DC-specific microgrids 108 or to other DC -only buyers, or transmitted further onward in DC form to other receiving locations of other downstream intelligent power distribution networks 102 for later decision whether to invert to AC or divert for DC-only needs.
  • the framework of the intelligent power distribution network 102 together with the plurality of microgrids 108, supports both AC and DC-based electricity grids and allows power to delivered and consumed in either AC or DC, as needed and instructed by each microgrid 108.
  • DC-only microgrids 108 can therefore receive power directly from the offshore provider without needing to employ a system of rectifiers and inverters.
  • a voltage source converter 156 may not be needed with every power output circuit 142 except to regulate any output prior to linking with the common direct current bus 158. Since power output levels may be monitored in conjunction with the transmission control system 230, a bypass circuit may be included to circumvent the VSC system 232 where voltage levels and direct current output are already compatible with requirements of the common direct current bus 158.
  • the HVDC transmission system 106 in addition to monitoring the voltage source converters 156 and power output circuits 142 of each apparatus to ensure compatible current and voltage levels, may also monitor, together with the transmission control system 220, the power output of each apparatus within each component 1 16 to determine, as an additional system check, whether an over or under-production of power is being generated for the specific period of time. This adds an additional layer of analysis to ensure a power balance matching power production to power consumption is being achieved, and so that a minimal battery storage requirement at both the multi-resource offshore renewable energy installation 104 and the one or more receiving locations 236 of the intelligent power distribution network 102 is maintained.
  • the transmission control system 230 is capable of working with specific modules, controllers and with other control systems 212 to increase power production somewhere among the renewable resource components 1 16. Similarly in the case of a power over-production, power production can be decreased in the same manner.
  • the present invention also contemplates that one or more feedback loops may be utilized to either transfer power to a temporary battery for storage of the excess power, or to the multi-resource offshore renewable energy installation 104 itself to self-power the installation and its renewable energy resource components 1 16.
  • the HVDC transmission system 106 may act as a source of power for the multi-resource offshore renewable energy installation 104, either directly or from the temporary battery, so that no or very limited additional sources of power are needed to power the installation itself.
  • Excess power production may also be routed to one or more energy storage facilities that provide backup or alternate sources of power for electricity grids.
  • grid-scale batteries may serve one or more broader electricity grids or one or more microgrids 108, and may utilize power over-production from renewable energy resources as an additional layer of power supply in the event of sudden and/ or localized variances to the amount of power needed, such as in emergency
  • excess power may be routed thereto from either the multi-resource offshore renewable energy installation 104 upon output signals from the transmission control system 230 or from the intelligent power distribution network 102 at the receiving location 236 or some other component thereof.
  • Power transmission in the present invention can also be configured so that power is delivered from the multi-resource offshore renewable energy installation 104 to the intelligent power distribution network 102 using wireless systems and methods.
  • wireless energy transfer is through electromagnetic radiation, such as with lasers.
  • Power can be transmitted by converting electricity into laser beams that can be transmitted using a laser emitter to an antenna at one or more receiving locations 236 of the intelligent power distribution network 102.
  • the antenna receives the laser beam and converts the light to direct current-based power to be delivered and routed to microgrids 108 as discussed herein.
  • the laser beam emitter may be located in a fixed configuration at the multi- resource offshore renewable energy installation 104, or in a temporary
  • the transmission system 106 must account for any power loss that will be encountered with converting power produced at the multi-resource offshore renewable energy installation 104 into a laser beam. Accordingly, power outputs of the renewable energy resource components 1 16, and the power output circuits 142, may have to be adjusted, either through variable operation of the renewable energy resource components 1 16 or through the voltage source converters 156.
  • the type of power transmission can be managed so that the present invention is capable of either by undersea HVDC transmission link, by wireless energy transmission methods as discussed herein, or both.
  • the transmission control system 230 performs the function of selecting the appropriate transmission method, based on input data from the intelligent power distribution network 102, by the power distribution module 200, power generation module 208, power settlement module 218, or power transmission module 226 of the renewable resource energy management system 100, by the distributed management system 302, or by any another source of such input data.
  • One or more of these or other modules may also be configured to manage the task of determining which method of transmission is to be used.
  • FIG. 6 and FIG. 7 are overview perspective and top plan views of the present invention, showing a multi-resource offshore renewable energy installation 104 connected to an intelligent power distribution network 102 via a transmission system 106.
  • FIG. 6 and FIG. 7 show different embodiments of the multi-resource offshore renewable energy installation 104.
  • FIG. 6 shows an embodiment in which multiple floating apparatuses, such as platforms or barges, can produce power from multiple renewable energy components 1 16 to an intelligent power
  • FIG. 7 shows another embodiment in which a mobile, semi-submersible production platform provides support for a number of such multiple floating apparatuses.
  • the multi-resource offshore renewable energy installations 104 in FIG. 6 may therefore be coupled in any number to a mobile semi-submersible production platform as shown in FIG. 7. Regardless, it is to be understood that numerous configurations of the present invention are
  • systems and methods of determining, on one side, an optimal power demand and on the other side, an optimal supply within an electricity grid infrastructure includes a method of determining an optimal delivery of power to be generated entirely from renewable resources for an electricity grid infrastructure.
  • Another method according to this embodiment involves determining an optimal generation of power to be delivered to an electricity grid infrastructure.
  • Yet further methods involve settling a transfer of power that is entirely generated from renewable resources and satisfies a power requirement of an electricity grid infrastructure, and transmitting an optimal delivery of power to customers of an electricity grid infrastructure.
  • the present invention discloses a system and method of balancing power production with power consumption in an electricity grid infrastructure.
  • This embodiment includes a method of adapting renewable resource energy production to energy consumption, a method of minimizing storage of electricity for delivery to an electricity grid infrastructure, and a balanced renewable resource -based energy management system comprising a source of power generated entirely from renewable energy resources and a consumer of power having a predictable power demand over any given period of time, wherein the power transmitted satisfies the entire power requirement only from renewable energy resources and at an operational level that maximizes the efficiency of each renewable energy resource.
  • the present invention discloses a system and method of enhancing grid infrastructure security.
  • This embodiment includes methods of improving electricity grid security and securely delivering power to an electricity grid infrastructure.
  • the embodiment may also include a security system for ensuring delivery of power to an electricity grid infrastructure.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

L'invention concerne une infrastructure d'un réseau d'électricité basé sur une énergie renouvelable, comportant une installation d'énergie renouvelable en mer à ressources multiples au niveau de laquelle de multiples composants de ressource en énergie renouvelable sont configurés, un réseau de distribution de courant intelligent et un système de transmission de courant gérant une délivrance d'une exigence de courant provenant de multiples composants de ressource en énergie renouvelable vers le réseau de distribution de courant intelligent, de sorte que l'exigence de courant soit entièrement satisfaite par de multiples ressources en énergie renouvelable provenant d'un emplacement commun. Le système de transmission permet une production d'énergie distribuée répondant à divers types de situations de demande de réseau, tels qu'une demande d'un client, une demande spécifique de courant continu et des problèmes de sécurité, et de sorte que la production de courant est sensiblement équilibrée avec la consommation de courant. Les multiples composants de ressource en énergie renouvelable peuvent produire, de façon variable et indépendante, du courant provenant de chaque composant vers des microréseaux comprenant le réseau de distribution de courant intelligent, de sorte que l'exigence de courant est entièrement satisfaite par les ressources en énergie renouvelable.
PCT/US2013/026510 2012-02-16 2013-02-15 Système et procédé de production et de transmission d'une énergie électrique à partir de ressources renouvelables WO2013123446A1 (fr)

Applications Claiming Priority (10)

Application Number Priority Date Filing Date Title
US201213398375A 2012-02-16 2012-02-16
US13/398,744 US8918225B2 (en) 2012-02-16 2012-02-16 Renewable energy-based electricity grid infrastructure and method of grid infrastructure automation and operation
US13/398,744 2012-02-16
US13/398,738 US20120144828A1 (en) 2012-02-16 2012-02-16 Multi-resource renewable energy installation and method of maximizing operational capacity of same
US13/398,375 2012-02-16
US13/398,738 2012-02-16
US13/731,024 US9188109B2 (en) 2012-02-16 2012-12-30 Virtualization, optimization and adaptation of dynamic demand response in a renewable energy-based electricity grid infrastructure
US13/731,027 US20130218355A1 (en) 2012-02-16 2012-12-30 Electricity grid data analytics as a moduled service for production, delivery, and distribution of power as a dynamic demand response within a renewable energy-based electricity grid infrastructure
US13/731,027 2012-12-30
US13/731,024 2012-12-30

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CN108306287A (zh) * 2018-02-09 2018-07-20 清华大学 一种含风电电力系统的小干扰失稳风险识别方法及系统
CN110968057A (zh) * 2019-11-05 2020-04-07 天津大学 一种解决智能制造车间多目标优化的规划方法
CN112347694A (zh) * 2020-10-26 2021-02-09 重庆大学 含洋流-海上风电-潮汐流发电的海岛微网电源规划方法
CN113381398A (zh) * 2021-05-10 2021-09-10 华电电力科学研究院有限公司 适用于工业园区的多能互补综合能源供能系统
CN113675835A (zh) * 2021-08-19 2021-11-19 中国电子科技集团公司第十八研究所 一种太阳能无人飞行器网络化直流微电网系统
WO2022115086A1 (fr) * 2020-11-24 2022-06-02 Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi Système de détermination de points de génération d'énergie renouvelable
CN116307652A (zh) * 2023-05-25 2023-06-23 华北电力大学 一种智能电网人工智能资源分配方法

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CN108306287A (zh) * 2018-02-09 2018-07-20 清华大学 一种含风电电力系统的小干扰失稳风险识别方法及系统
CN110968057A (zh) * 2019-11-05 2020-04-07 天津大学 一种解决智能制造车间多目标优化的规划方法
CN110968057B (zh) * 2019-11-05 2022-01-28 天津大学 一种解决智能制造车间多目标优化的规划方法
CN112347694A (zh) * 2020-10-26 2021-02-09 重庆大学 含洋流-海上风电-潮汐流发电的海岛微网电源规划方法
CN112347694B (zh) * 2020-10-26 2023-05-12 重庆大学 含洋流-海上风电-潮汐流发电的海岛微网电源规划方法
WO2022115086A1 (fr) * 2020-11-24 2022-06-02 Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi Système de détermination de points de génération d'énergie renouvelable
CN113381398A (zh) * 2021-05-10 2021-09-10 华电电力科学研究院有限公司 适用于工业园区的多能互补综合能源供能系统
CN113675835A (zh) * 2021-08-19 2021-11-19 中国电子科技集团公司第十八研究所 一种太阳能无人飞行器网络化直流微电网系统
CN116307652A (zh) * 2023-05-25 2023-06-23 华北电力大学 一种智能电网人工智能资源分配方法

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