WO2013071321A2 - Procédé de régulation de flux d'énergie - Google Patents

Procédé de régulation de flux d'énergie Download PDF

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Publication number
WO2013071321A2
WO2013071321A2 PCT/AT2012/000290 AT2012000290W WO2013071321A2 WO 2013071321 A2 WO2013071321 A2 WO 2013071321A2 AT 2012000290 W AT2012000290 W AT 2012000290W WO 2013071321 A2 WO2013071321 A2 WO 2013071321A2
Authority
WO
WIPO (PCT)
Prior art keywords
control element
control
power supply
hierarchically
units
Prior art date
Application number
PCT/AT2012/000290
Other languages
German (de)
English (en)
Other versions
WO2013071321A3 (fr
Inventor
Andreas Kuhn
Birgit Kuhn
Original Assignee
Andreas Kuhn
Birgit Kuhn
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
Application filed by Andreas Kuhn, Birgit Kuhn filed Critical Andreas Kuhn
Publication of WO2013071321A2 publication Critical patent/WO2013071321A2/fr
Publication of WO2013071321A3 publication Critical patent/WO2013071321A3/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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid

Definitions

  • the invention relates to a method for controlling energy flows in a power supply network according to the preamble of claim 1.
  • Such power grids have in the past had some large power producers whose power has been delivered to consumers via lines.
  • modern energy supply networks have a heterogeneous structure both on the side of the energy producers and on the side of the consumers.
  • small energy producers for example wind power plants, solar plants, district heating plants or plants for the use of other alternative and regenerative energy sources.
  • the number and complexity of devices in households and industry is increasing.
  • Object of the present invention is to provide a method of the type mentioned, in which the known disadvantages are avoided, which can be easily implemented and expanded, allows a good regulation with a low resource requirements and can be adapted quickly and automatically to different conditions ,
  • Power supply network can be provided, which is decentralized and can respond to the needs of each unit.
  • the required data transfer can be kept low because the scheme is delegated as far as possible to subordinate hierarchy levels.
  • the control can effectively avoid peak loads and ensure good coordination of different units. Is the energy supply network an electrical one?
  • Energy supply network so it represents an intelligent power grid, for which the keyword “Smart Grid” is common.
  • the invention also relates to a power supply control system for controlling energy flows in a power supply network with which the method described above can be implemented particularly easily.
  • the invention further relates to a computer program product which can be loaded directly into the internal memory of a computer and / or a computer network and comprises software code sections with which the steps of the method described at the outset are carried out
  • Fig. 1 is a schematic representation of a power supply network
  • Fig. 2 is a schematic representation of a control element for the
  • Fig. 1 shows schematically a power supply network 1.
  • Power supply network 1 has a heterogeneous structure of units 91, 92, 93, 94, 95.
  • the units 91, 92, 93, 94, 95 are energy producers,
  • a unit 91, 92, 93, 94, 95 can assume a plurality of functions, for example, as a memory or generator.
  • an accumulator of an electric car is usually operated so that it energy from the
  • Energy supply network 1 refers and thus acts as a consumer. However, it can also be provided that the accumulator is operated as a memory and, if necessary, energy is returned to the energy supply network 1.
  • units 91, 92, 93, 94, 95 may be energy producers, such as nuclear power plants, wind turbines or solar systems, or
  • Distributors for example substations, storage, for example accumulators, pumped storage power plants or hot water storage, or consumers,
  • 91, 92, 93, 94, 95 can also be used, for example,
  • This invention is concerned with the regulation of energy flows in such power supply networks 1 in which a plurality of units 91, 92, 93, 94, 95 connected by means of lines 8 are present, the units 91,
  • 92, 93, 94, 95 are arranged hierarchically.
  • the energy supply network 1 can relate to networks for the provision of different energy sources, wherein several different energy sources can be provided.
  • units 91, 92, 93, 94, 95 for energy conversion can also be provided.
  • Pumped storage power plant convert electrical energy into potential energy and vice versa.
  • the power grid can be a gas supply network, a
  • Heat supply network or the like A preferred embodiment of the power supply network 1 relates to an electrical power supply network.
  • power grid 1 relate to district heating, the distribution of fossil fuels, geothermal or the like.
  • the appliances in a household in particular a washing machine, a refrigerator, a stove, a dishwasher, a heater, the next higher unit may be the apartment distribution unit 92, which is superior to the floor distribution unit 93, which is the parent house distribution unit 95 further.
  • the apartment distribution unit 92 which is superior to the floor distribution unit 93, which is the parent house distribution unit 95 further.
  • Such hierarchical structures exist in all areas of energy supply, such as industry or public space.
  • the number of hierarchy levels is not restricted and can be selected according to the respective energy supply network.
  • a plurality of the units 91, 92, 93, 94, 95 energy producers such as nuclear power plants, hydroelectric power plants, wind turbines or solar systems.
  • the plurality of units 91, 92, 93, 94, 95 are each at least one
  • Two mutually coupled control elements 2 are designed such that at least a part of the manipulated variable 41 of the hierarchically superior
  • Control element 2 as a target 31 'of the hierarchically subordinate
  • Control element 2 is specified and the regulation is subsidiary.
  • a subsidiary regulation is a regulation which takes place decentrally and the regulation is delegated as far as possible to hierarchically subordinate structures.
  • the power grid control system breaks down into individual subsystems, which have lower complexity and can be solved more easily with little effort.
  • the required regulatory intelligence is arranged as deeply as possible and as high as necessary, from a hierarchical point of view.
  • control elements 2 Due to this design of the control elements 2, it is not necessary that the energy supplier must grasp the energy supply network to the last realization depth. For example, he does not have to regulate the individual dishwasher, but regulates, for example, simply about his pricing model, which he can bring in an upper hierarchical level.
  • the control elements 2 form a power grid control system for controlling energy flows in the power grid 1 with a plurality of hierarchically arranged units 91, 92, 93, 94, 95 connected by lines 8, wherein the plurality of units 91, 92, 93, 94, 95 respectively at least one of the control elements 2 is assigned, wherein the control elements 2 substantially according to the lines 8 of the associated units 91, 92, 93, 94, 95 and coupled in the region of the respectively associated unit 91, 92, 93, 94, 95 are arranged.
  • Two mutually coupled control elements 2 are designed such that the manipulated variable 41 of the hierarchically superior
  • Control element 2 the target 31 'of the hierarchically subordinate
  • Rule element 2 includes and the regulation is subsidiary.
  • An efficient regulation of the energy supply network 1 can be provided, which takes place locally and can respond to the needs of the individual units 91, 92, 93, 94, 95.
  • the required data transfer can be kept low because the scheme as far as possible to subsequent
  • Hierarchy levels is delegated. Load peaks can be effectively avoided and good coordination of different units 91, 92, 93, 94, 95 be ensured.
  • the power grid control system reacts like an automated energy market, with market pressure regulating the complex system essentially without central intelligence.
  • Energy supply network so it represents an intelligent power grid, for which the keyword “Smart Grid” is common.
  • the coordination and regulation of the energy supply network 1 represents a great challenge. It should be noted that different units 91, 92, 93, 94 , 95 have different dynamics and behavioral characteristics. By small solar systems, wind, hydropower, biogas plants and the like, the power grid 1 has a large number of different energy producers.
  • energy producers which are dependent on the weather, have a stochastic energy supply and can only be regulated to a limited extent.
  • the present method and the power grid control system can be easily extended to other units 91, 92, 93, 94, 95, wherein the existing power grid control system can remain substantially unchanged.
  • the extensions may be the addition of further hierarchically subordinate units 91, 92, 93, 94, 95 to already integrated control elements 2. But there can be more
  • Hierarchy levels are introduced and, for example, several regional constraints
  • Power supply control systems can be merged, whereby a global power grid control system can be created.
  • the present method may simply be incremental to an existing one
  • Power supply network 1 are introduced, the continuous operation of the power supply network 1 can be largely ensured.
  • control elements 2 may be substantially the same in each hierarchical level be constructed, which may be provided, largely similar
  • control elements 2 For the majority of control elements 2, which in particular the development and manufacturing costs can be kept low.
  • control elements 2 As low has been found, if at least one, in particular the majority, the control elements 2, a machine-learning model is used.
  • At least one, in particular the majority, of the control elements 2 comprises a machine learning model. This can ensure that the
  • Control element 2 the power grid 1 can map well in its area, with an analytical presentation is not required and the desired behavior of the control element 2 can be trained.
  • Machine learning models can be, for example, artificial neural networks, regression or classification trees, support vector machines and / or look-up tables and / or committees of machine-learning models.
  • the machine learning model can be adaptively adapted to the power grid 1. As a result, both the accuracy and reliability of the control can be increased, as well as a substantially automatic adaptation to changing conditions can be achieved.
  • the control elements 2 can be designed to be both adaptive and adaptive in terms of consumer behavior as well as with regard to the provider side. In this case, a forecast of the price development can take place, for example, that in fair weather electricity is offered cheaper because the solar cells provide more energy.
  • adaptive control elements 2 By using adaptive control elements 2 it can be ensured that an adaptation to different goals and circumstances, for example a changed consumer behavior, a new generation of devices or environmental influences, can be done quickly and easily and despite this
  • the adaptation can be used for new situations on the part of energy producers,
  • control element 2 is trained, which control possibilities with individual units 91, 92, 93, 94, 95 are possible.
  • a control element 2 to which a solar system and a
  • Heat pump of a hot water tank use the solar energy to heat the hot water tank. But it can also be provided that the solar energy is fed into the power grid 1 and the hot water tank at a later date, for example, at night when the power of the solar system is significantly reduced, is heated with energy from the power grid 1. It can also be provided that the hot water tank is overheated in a tolerance range and at a later time, for example, in the evening when the power of the solar system is significantly reduced, by means of the heat pump energy in the
  • Power supply network 1 is fed. In this case, the most uniform possible utilization of the power supply network 1 can be ensured, in particular an overload of the power supply network 1 can be avoided.
  • the units 91, 92, 93, 94, 95 of the associated control unit 2 transmit information about the possible areas of application.
  • control element 2 an embodiment of a control element 2 is shown schematically.
  • the control element 2 can be used in all hierarchy levels and can essentially always be constructed the same.
  • control element 2 a target 31 can be specified. Furthermore, 2 energy supply network-related input parameters 33 are obtained from the control element, after which 2 model parameters of the current power supply are determined by the control element, and then under
  • a unit 91, 92, 93, 94 95 in particular a network operator, can as a manipulated variable 41 and / or as a target 31 to hierarchically subordinate Control elements 2 a price specification can be selected.
  • the price specification can be used as a parameter for the target 31 at lower hierarchy levels.
  • the pricing is in the form of a dynamic pricing model, for example, the prices based on the
  • a demand message 43 is also preferably determined, which is transmitted to the hierarchically higher-order control element 2.
  • This demand message 43 may include the urgency and options of the demand. For example, the required duration and completion time of a unit 91, 92, 93, 94, 95 may be included in the requirement message 43, resulting in possible start times.
  • control elements 2 coupled to one another can be designed such that a requirement message 43 of the hierarchically subordinate one
  • Control element 2 is transmitted to the hierarchically superior control element 2.
  • Price or general costs can also be parameters of the target 31 and / or the requirement message 43, which can be used for the communication between the hierarchy levels purposefully.
  • the energy flows in the power grid 1 can level off by itself.
  • the power grid related input parameters 33 may include a
  • Requirement 34 which results directly from the requirement message 43 of the hierarchically subordinate rule element 2.
  • the requirement messages 43 are all hierarchically directly subordinate
  • Control elements 2 combined to the requirement 34. Furthermore you can
  • the power supply related input parameters 33 may also include scheduled failures due to maintenance or the like.
  • Control elements 2 the requirement 34 as part of power supply-related input parameters 33 formed.
  • the request 34 may be directly from the requirement messages 43 of the hierarchical
  • Parent control element 2 which the requirements messages 43 are passed, are formed.
  • Control element 2 and the manipulated variables 41 are determined by a detection device 52 of the control element 2.
  • the control element 2 a model device 51 and a
  • Detection device 52 include, wherein the pattern device 51 and the detection device 52 are formed as a separate interfaced by means of modules modules.
  • the model device 51 With the model device 51, the situation of the power supply network 1 can be identified and / or predicted. With the determination device 52, the best possible action and / or control parameters can be determined.
  • the control element 2 can be subdivided into independent subsystems, which enable a simpler design of the control element 2.
  • the model device 51 and the determination device 52 in
  • the results of the determination device 52 can be taken into account by the model device 51.
  • both for the model device 51 a machine learning model and for the determination device 52 a machine learning model can be used.
  • the machine learning model of the model device 51 can be designed differently from the machine learning model of the determination device 52.
  • the model device 51 may comprise a machine-learning model for the identification and / or prognosis of the situation and the determination device 52 may a machine-learning model for the determination of the manipulated variables 41 include.
  • the model device 51 can serve to identify and forecast the situation, for example an increasing need, an immediate danger of a situation
  • the determination device 52 can serve to regulate the actual action as best as possible for the local circumstances and possibilities.
  • the determination device 52 may be that several different machine-learning models are provided, depending on what state the system is currently or which
  • Strategy is pursued, for example, as quickly as possible heating and / or cooling a room, saving energy without freezing people in the room, avoiding temperature fluctuations.
  • control strategy specification is determined by means of a judging means 53 and the manipulated variables 41 are determined by the control unit
  • Determination device 52 are determined taking into account the control strategy specification.
  • the control element 2 may further comprise a judging means 53, wherein the judging means 53 is formed as a stand-alone module coupled by means of interfaces.
  • Regulierungsstrategievorgabe to the respective situation of the control element 2 associated unit 91, 92, 93, 94, 95 are adjusted.
  • a global strategy change is required, which also has an impact on other local areas and can possibly lead to problems there.
  • the manipulated variables can be targets 31 'for hierarchically subordinate
  • Control elements 2 and / or operating parameters 42 for the control element 2 associated unit 91, 92, 93, 94, 95 include.
  • control element 2 From the control element 2 can be independent of power supply network Input parameters 32 are related, which are taken into account in the determination of the manipulated variables 41.
  • Input parameters 32 are related, which are taken into account in the determination of the manipulated variables 41.
  • power supply independent input parameter 32 can significantly improve the quality of the control, whereby for the power grid 1 indirect factors can be easily taken into account.
  • model device 51 From the model device 51 further model parameters of the future energy supply can be determined and the further model parameters can be used for the determination of the manipulated variables 41.
  • energy supply network-independent input parameters 32 can be taken into account when determining the model parameters and / or the further model parameters.
  • the power supply independent input parameters 32 may be any power supply independent input parameters 32.
  • weather data and / or calendar data include.
  • the change in demand due to a holiday can be easily and quickly taken into account.
  • it can be considered whether the energy demand for outdoor activities or for indoor activities will occur.
  • the grid independent input parameters 32 may include data about events, such as sporting events, trade fairs or concerts, which may also take into account a typical energy demand associated with these events.
  • the control unit 2 of the dishwasher is set by the user a request 34, which may be, for example, that when switched on in the evening, the dishes should be washed well before breakfast.
  • the requirement message 43 can be submitted to the higher-level rule element 2, from which also the room for maneuver results. If the utilization of the power supply network 1 is low, the dishwashing can be started immediately.
  • Demand messages 43 of the control elements 2 of the energy demand to be determined during this time and react in good time to expected peak loads during a low-fare time.
  • demand messages 43 of the control elements 2 of the energy demand to be determined during this time and react in good time to expected peak loads during a low-fare time.
  • the balancing between the control objects 2 takes place in each case via the hierarchically superior control object 2.
  • the overall noise level can be kept low in order to keep the noise level low during the night hours.
  • the method may be readily provided with a computer program product, wherein the computer program product may be loaded directly into the internal memory of a computer and / or computer network and includes software code portions that perform the steps of the method described above when the computer program product is stored on a computer and / or a computer network is running.
  • the software may be provided at least partially in the form of embedded software in one or more controllers.

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

Abstract

L'invention concerne un procédé de régulation de flux d'énergie dans un réseau de distribution d'énergie (1) comportant plusieurs unités (91, 92, 93, 94, 95) disposées hiérarchiquement et reliées par des lignes (8). La majorité des unités (91, 92, 93, 94, 95) est associée à au moins un élément de régulation (2) respectif, les éléments de régulation (2) étant couplés sensiblement en suivant les lignes (8) des unités (91, 92, 93, 94, 95) associées et étant implantés dans la région de l'unité (91, 92, 93, 94, 95) associée respective. Deux éléments de régulation (2) couplés entre eux sont configurés de manière qu'au moins une partie de la grandeur de réglage (41) de l'élément de régulation (2) hiérarchiquement supérieur constitue l'objectif de consigne (31) de l'élément de régulation (2) hiérarchiquement inférieur et que la régulation se produise de manière subsidiaire.
PCT/AT2012/000290 2011-11-14 2012-11-14 Procédé de régulation de flux d'énergie WO2013071321A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ATA1682/2011 2011-11-14
ATA1682/2011A AT512133A1 (de) 2011-11-14 2011-11-14 Verfahren zur regelung von energieströmen

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Publication Number Publication Date
WO2013071321A2 true WO2013071321A2 (fr) 2013-05-23
WO2013071321A3 WO2013071321A3 (fr) 2013-10-03

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AT (1) AT512133A1 (fr)
WO (1) WO2013071321A2 (fr)

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