CN105743126A - Microgrid energy management system capable of realizing load management - Google Patents

Microgrid energy management system capable of realizing load management Download PDF

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Publication number
CN105743126A
CN105743126A CN201610235913.0A CN201610235913A CN105743126A CN 105743126 A CN105743126 A CN 105743126A CN 201610235913 A CN201610235913 A CN 201610235913A CN 105743126 A CN105743126 A CN 105743126A
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unit
load
data
management
module
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曾君
李晨迪
陈渊睿
刘俊峰
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South China University of Technology SCUT
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South China University of Technology SCUT
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • H02J3/382Dispersed generators the generators exploiting renewable energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/0096Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for networks combining AC and DC power
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The 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
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems 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
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Smart grids as enabling technology in buildings sector
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/12Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

Abstract

The invention discloses a microgrid energy management system capable of realizing load management. The energy management system comprises a man-machine interaction module, a prediction module, a system analysis module, a dispatching and control module, and a system management module. The system performs collection and monitoring on information of the output power of a distributed power generation unit (including a wind turbine generator, a photovoltaic array and a diesel engine set), the charging-discharging states of a storage battery, the load power, the electric energy quality information of unit nodes, and the like, then carries out data analysis and processing under the condition of satisfying electrical characteristic constraint conditions of operating conditions and physical equipment, formulates a corresponding optimal control strategy according to the current microgrid operating condition and external application requests, coordinates and manages the operations of the distributed power supply, the load and other modules in the microgrid system, optimizes the energy flow and utilization of the microgrid system, outputs by using renewable resources, supplies electric energy capable of satisfying the required quality to user load at the lowest operating cost, and realizes the system optimization and dispatching.

Description

A kind of microgrid energy management system realizing load management
Technical field
The invention belongs to power scheduling and management technique field, particularly relate to a kind of microgrid energy management system realizing load management.
Background technology
When traditional fossil energy overruns and environmental problem is increasingly serious, renewable new cleaning fuel is becoming the prior development direction of global energy structure.Along with constantly riseing of electricity needs, the bulk power grid that concentration supply power is main body shows increasing drawback: seriously polluted, runs difficulty big, and upgrade cost is high, after under fire, (such as snow disaster, line fault lamp) security performance is low, remote districts erection high in cost of production.And distributed power generation adopts is clean energy resource, polluting less and utilization rate is high, in addition, bulk power grid is also had the effect of peak-clipping and valley-filling and installs convenient by it, thus becomes effectively supplementing of bulk power grid.But along with a large amount of scattered distributed power sources access bulk power grid, the control of system being will result in serious test, along with the development of Power Electronic Technique and control theory, micro-capacitance sensor arises at the historic moment.
Micro-capacitance sensor refers to small-sized the distribution system being made up of all kinds of distributed power sources, load, converters, power system device etc., for the power swing that balanced distribution formula power supply intermittence causes, the energy-storage system of micro-capacitance sensor multi-configuration respective volume.As the intelligent grid pursuit to " spontaneous recovery, strong, interactive, high-quality, compatibility, economy ", the ultimate aim of micro-capacitance sensor is also " autonomous, open, flexibly, high-quality and economy ".Micro-capacitance sensor is as small-sized power system, and it possesses good energy self management function, can ensure optimized distribution and the conservation of energy in micro-grid system, it is achieved the economy that micro-capacitance sensor runs.It addition, micro-capacitance sensor is again a virtual power supply or load relative to bulk power grid, by the adjustment that distributed power source each in micro-capacitance sensor is exerted oneself, its effect to the peak-clipping and valley-filling of bulk power grid can be played.Each scattered distributed power source is integrated into micro-capacitance sensor, the impact fluctuated on outside power distribution network and periphery user due to distribution type renewable energy generated output can be reduced, and effectively reduce the difficulty of system operations staff, it is achieved making full use of of the energy.Therefore, microgrid energy management system is as the core control portions of micro-capacitance sensor, it is on the basis making full use of regenerative resource, it may be achieved the optimized distribution of different periods resource and the economic reliability service of micro-capacitance sensor, is the important support ensureing the high-quality and efficient operation of micro-capacitance sensor.
The microgrid energy management system that presently, there are is many based under quiescent conditions, structure immobilizes, what adopt is the centerized fusion based on central controller, only possess simple data acquisition and monitoring, device switching function, substantially the coordination that can not realize each distributed power generation controls, what is more important, these centralized controls are obviously run counter in the scattered essence of micro-capacitance sensor distributed energy.Distributed AC servo system is solve the conventional energy management drawback of system and realize microgrid energy intellectual management and open new road.
Present Research is as follows both at home and abroad at present: the Bronsbergen micro-capacitance sensor of Holland is the micro-capacitance sensor demonstration project that European Union provides funds to set up: what its EMS adopted is centerized fusion, instruction is sent to central controller by harvester and focuses on by EMS, and each distributed power source is exerted oneself to have central controller to determine.The Kyotango micro-capacitance sensor engineering of Japan is built by NEDO, and the management of this microgrid energy is also centerized fusion, central controller controls communicated by TCP/IP, adopts ISDN or the ADSL networking of standard.Italy's CESIRICERC microgrid energy management is same adopts centerized fusion mode, and what it adopted is hierarchy communication, monitors system power quality and transient process, and real-time data collection is transferred to central controller and realizes the distribution of each distributed power source generating optimization.Cogongrass U.S. of HeFei University of Technology of China qin et al. develops microgrid energy management system software, and it possesses the function such as data acquisition and monitoring, Automatic Generation Control.The microgrid energy management system of Zhejiang Province, China electric power experiment al research institute adopts hierarchical control, and its master control layer undertakes the tasks such as system monitoring, data analysis, coordination control;Consult the operational mode of layer-management micro-capacitance sensor.China Electric Power Research Institute Li Yang et al. proposes a kind of based on master & slave control, the microgrid energy management system structure of centralized management and decentralised control thought, realizes communication by Ethernet.
Can be seen that from research conditions both domestic and external, the micro-capacitance sensor demonstration project that the whole world is built at present, many employing centerized fusion modes, its technology maturation, equipment cost is relatively low, and easily performs and safeguard, and meets the EMS research of micro-capacitance sensor characteristic based on distributed AC servo system etc. and realize less, and the application that realizes data acquisition and system monitoring, coordination function and advanced algorithm uncommon more.
Summary of the invention
The invention provides a kind of microgrid energy management system realizing load management, aim to solve the problem that current micro-capacitance sensor management technique is not carried out distributed power source optimal control, energy economy scheduling, regenerative resource are exerted oneself the functions such as prediction, Demand Side Response and plug and play, the problem having seriously undermined environmental benefit that micro-grid system brings and economic benefit.
According to disclosed embodiment, the present invention proposes a kind of microgrid energy management system realizing load management, and described microgrid energy management system includes human-computer interaction module, prediction module, Systems Analysis Module, scheduling and control module and system management module;
Described human-computer interaction module obtains the topological structure of micro-capacitance sensor and the access state of all electrical equipments, real-time operation switch and disconnecting link, display collecting device is transferred to the collection data of computer by communication port in real time, when micro-grid system is about to or breaks down, system determines fault fast and accurately by safety analysis and fault diagnosis, and interactive interface promptly sends warning;
Described prediction module is by inputting corresponding load model, generator unit model, Electricity Price model, algorithm optimization is utilized to obtain the prediction data of load prediction, generating prediction, Research on electricity price prediction, prediction data and real data are compared, obtains error statement analysis;
Described Systems Analysis Module is by Load flow calculation based on micro-capacitance sensor alternating current-direct current mixed current computation model, and under computing system steady-state operating condition, each busbar voltage, each branch current and power and network loss, solve systems organization and operating problem;The evaluation model based on fuzzy theory is provided according to voltage deviation, frequency departure, harmonic content, voltage pulsation, voltage flicker and three-phase imbalance by quality of power supply evaluation, electric energy quality monitoring system is utilized to read the monitoring information of each equipment for monitoring power quality, and be analyzed determining monitoring point electric pressure, present position, voltage fluctuation and flicker frequency, frequency departure type information, so that it is determined that the threshold value of qualified;Verify whether each element of power system transships by safety analysis, each node voltage whether within allowed band and the quality of power supply evaluate whether qualified;By data analysis for database storage data temporally with system requirements statistical analysis, including report data, the trend curve etc. of Various types of data and display by word, figure, color or preserve;
Described scheduling and control module, by based on the data gathered and prediction obtains, the energy management Optimal Operation Model that input is set up, use algorithm is optimized, it is achieved grid-connected and isolated island energy management;Based on the diagnostic method of specialist system, identify the device of the position of components of fault, type and misoperation according to power system fault analysis and relay protection;Described energy storage and load management unit are used for realizing energy-storage system of accumulator and realizing load rating management;
Described system management module is within the scope of System Privileges, by data management module, utilizes Curve Tool that data are processed, is finally carried out final image analysis processing by graphics edition part.
Further, described human-computer interaction module comprises system topology unit, real-time operation unit, data monitoring unit and accident alarming unit;Wherein, described system topology unit is for obtaining the topological structure of micro-capacitance sensor and the access state of all electrical equipments, described real-time operation unit is used for real-time operation switch and disconnecting link, described data monitoring unit is transferred to the collection data of computer for display collecting device in real time by communication port, described accident alarming unit is for when micro-grid system is about to or breaks down, system determines fault fast and accurately by safety analysis and fault diagnosis, and interactive interface promptly sends warning.
Further, described prediction module includes load estimation unit, generating predicting unit, Research on electricity price prediction unit and prediction four parts of statistic unit, wherein, described load estimation unit is used for analytical calculation load model, optimized algorithm is adopted to obtain load prediction data, described generating predicting unit is used for analytical calculation generator unit model, optimized algorithm is adopted to obtain generating prediction data, described Research on electricity price prediction unit is used for analytical calculation Electricity Price model, optimized algorithm is adopted to obtain Research on electricity price prediction data, described prediction statistic unit is for comparing prediction data and real data, obtain error statement analysis.
nullFurther,Described Systems Analysis Module includes Load flow calculation unit、Quality of power supply evaluation unit、Safety analysis unit and data analysis unit,Wherein,Described Load flow calculation unit is for by micro-capacitance sensor alternating current-direct current mixed current computation model,Each busbar voltage under computing system steady-state operating condition、Each branch current and power and network loss,Described quality of power supply evaluation unit is for power quality index assessment,According to voltage deviation、Frequency departure、Harmonic content、Voltage pulsation、Voltage flicker and six kinds of quality of power supply evaluation indexes of three-phase imbalance provide a kind of evaluation model based on fuzzy theory,Described safety analysis unit is for by predetermined security constraints,Whether the verification each element of power system transships,Each node voltage whether within allowed band and the quality of power supply evaluate whether qualified,If constraints is unsatisfactory for,Then dispatcher is sent alarm signal and display,The data that described data analysis unit stores for statistical data analysis storehouse,Form trend curve and pass through word、Figure、Color displays and preserves.
nullFurther,Described scheduling comprises grid-connected energy management unit with controlling module、Isolated island energy management unit、Failure diagnosis unit、Energy storage and load management unit,Wherein,When described grid-connected energy management unit is in grid-connect mode for micro-capacitance sensor,Based on gathering data and the data of prediction module offer,Utilize algorithm optimization energy management Optimal Operation Model,When described isolated island energy management unit is in lonely net pattern for micro-capacitance sensor,Based on gathering data and the data of prediction module offer,Utilize algorithm optimization energy management Optimal Operation Model,Described failure diagnosis unit is for adopting the diagnostic method based on specialist system,The position of components of fault is identified according to power system fault analysis and relay protection knowledge、The device of type and misoperation,Described energy storage and load management unit are for realizing the administration by different levels of energy-storage system of accumulator and load,Load is divided into interruptible load,Uninterrupted load and translatable load.
Further, described system management module includes System Privileges unit, Data Management Unit, Curve Tool unit, graphics edition unit, wherein, described System Privileges unit is used for the system that limits and runs extent of competence, described Data Management Unit is for storing the data received, described Curve Tool unit is used for converting data to trend curve, and described graphics edition unit is for carrying out final image procossing.
Further, described microgrid energy management system also includes human-computer interaction interface, above-mentioned human-computer interaction interface is for realizing carrying out between operator and EMS the transmission of real time data, historical data, prediction data, the interfacial structure of real-time display system parameter and operation plan.
Further, described microgrid energy management system utilizes EPA each distributed generation system and load are carried out data acquisition and the charging and discharging state of the output of each distributed generation unit, accumulator detected, the power of load, cell node quality of power supply information, make different decision-making by energy management strategies for varying environment and again decision instruction is transferred to bottom controller, completing energy management and coordinate to control, bottom controller controls distributed generation system and load switching by accepting upper strata decision instruction.
Further, described bottom controller includes photovoltaic power controller, power of fan controller, diesel engine power controller, DC/DC discharge and recharge energy storage controller, load governor;Wherein, described photovoltaic power controller receives scheduling and exerts oneself instruction, uses the uneoupled control of the active reactive of photovoltaic generation, it is achieved the adjustment of exerting oneself of photovoltaic generating system;Described power of fan controller receives scheduling and exerts oneself instruction, and controller adopts meritorious and idle uneoupled control, changes catching wind energy through variable speed constant frequency adjustment, it is achieved the adjustment of exerting oneself of wind generator system;Described DC/DC discharge and recharge energy storage controller is the management of charging and discharging carrying out accumulator according to dispatch command;Described diesel engine power controller is by coordinating microgrid energy rational management start and stop diesel engine;Described load governor is used for accepting and perform scheduling and exerts oneself instruction, put into, excision, translation load, and load operation information is uploaded in real time.
The present invention has such advantages as relative to prior art and effect:
A kind of microgrid energy management system realizing load management disclosed by the invention is on the basis of tradition bulk power grid EMS module, improved according to micro-capacitance sensor feature and simplified, there is good opening and compatibility, along with wind-driven generator, photovoltaic module, the increase of diesel-driven generator or exit, have only to increase or be equipped with new control equipment, there is the function of good plug and play;Simultaneously, it is possible to Real-time Collection, prediction, Monitoring Data, it is provided that send an instruction to bottom controller to dispatching control module with by communication interface, reduce microgrid operation, maintenance cost, improve stability and safety that microgrid runs.
Accompanying drawing explanation
Fig. 1 is a kind of micro-capacitance sensor structure realizing load management disclosed in the present invention and EMS schematic diagram;
Fig. 2 is the framework of a kind of microgrid energy management system realizing load management disclosed in the present invention;
Fig. 3 is the illustrative view of functional configuration of a kind of microgrid energy management system realizing load management disclosed in the present invention;
Fig. 4 is based on the microgrid energy management system optimized algorithm flow chart of non-cooperative game.
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of micro-capacitance sensor structure realizing load management disclosed in the present invention and EMS schematic diagram;As it is shown in figure 1, micro-capacitance sensor comprises distributed power source, energy storage device, interruptible load, uninterrupted load and translatable load, each unit is coupled together by micro-capacitance sensor by the bus of 0.4kv electric pressure, and the transformator bulk power grid of 0.4kv/10kv is connected.Distributed power source is connected in common feeder by inverter and switch, energy storage device is connected in common feeder by PCU Power Conditioning Unit and switch, interruptible load, uninterrupted load and translatable load are connected in common feeder each through switch, to realize individually controlling.Interruptible load includes air-conditioning, insignificant illumination etc., and uninterrupted load includes important illumination, refrigerator etc., and translatable load includes washing machine, dish-washing machine etc..
The microgrid energy management system framework of the present embodiment design is as shown in Figure 2.The design architecture of system specifically can be divided into hardware layer, operating system layer, support podium level and application layer.Hardware layer is the hardware device of system, and based on computer, employing is distributed frame, it may be achieved the autgmentability of system and maintainability;Operating system layer adopts windows system, its good compatibility and ease for operation, and exploitation and O&M to system provide facility;Support podium level to be made up of distributed communication network layer, database layer and public service layer, distributed communication network is the network of whole micro-grid system communication, it carries information transmission of microgrid energy management system and each distributed generation system, load, and mainly being communicated with RS485 by EPA, wireless network forms;Database layer is to be made up of the database platform of system, micro-grid system itself is as a small electrical system, and be made up of all kinds of distributed power sources again, data class is various and data volume is many, and the Real-time Database Management Platform of Erecting and improving is the key that microgrid energy management system is run;Public service layer is to be made up of the generic service of regular software, it is therefore an objective to reduce difficulty and the time of software design, for each function application offer instrument.
Refer to Fig. 3, Fig. 3 is the illustrative view of functional configuration of a kind of microgrid energy management system realizing load management disclosed in the present invention, as shown in Figure 3, function application module is summarized as five classes by the microgrid energy management system of the present embodiment design, is respectively as follows: human-computer interaction module, prediction module, Systems Analysis Module, scheduling and control module and system management module.
Human-computer interaction module comprises system topology unit, real-time operation unit, data monitoring unit and accident alarming unit.System topology unit is for obtaining the topological structure of micro-capacitance sensor and the access state of all electrical equipments, real-time operation unit is used for real-time operation switch and disconnecting link, data monitoring unit is transferred to the collection data of computer for display collecting device in real time by communication port, accident alarming unit is for when micro-grid system is about to or breaks down, system determines fault fast and accurately by safety analysis and fault diagnosis etc., and interactive interface promptly sends warning.
Prediction module includes load estimation unit, generating predicting unit, Research on electricity price prediction unit and prediction four parts of statistic unit.Load estimation unit obtains load prediction data for analytical calculation load model, employing optimized algorithm.Generating predicting unit obtains generating prediction data for analytical calculation generator unit model, employing optimized algorithm.Research on electricity price prediction unit obtains Research on electricity price prediction data for analytical calculation Electricity Price model, employing optimized algorithm.Prediction statistic unit, for prediction data and real data being compared, obtains error statement analysis.
Systems Analysis Module is one of senior application of microgrid energy management system, including Load flow calculation unit, quality of power supply evaluation unit, safety analysis unit and data analysis unit.Load flow calculation unit is used for by micro-capacitance sensor alternating current-direct current mixed current computation model, each busbar voltage, each branch current and power and network loss under computing system steady-state operating condition.Quality of power supply evaluation unit, for power quality index assessment, gives a kind of evaluation model based on fuzzy theory according to voltage deviation, frequency departure, harmonic content, voltage pulsation, voltage flicker and six kinds of quality of power supply evaluation indexes of three-phase imbalance.Safety analysis unit is for by predetermined security constraints, whether the verification each element of power system transships, each node voltage whether within allowed band and the quality of power supply evaluate whether qualified, if constraints is unsatisfactory for, then dispatcher is sent alarm signal and display.The data that data analysis unit stores for statistical data analysis storehouse, form trend curve and are displayed by word, figure, color and preserved.
Scheduling and the nucleus module that control is microgrid energy management system, comprise grid-connected energy management unit, isolated island energy management unit, failure diagnosis unit, energy storage and load management unit.Time grid-connected energy management unit is in grid-connect mode for micro-capacitance sensor, based on gathering data and the data of prediction module offer, utilize algorithm optimization energy management Optimal Operation Model.Time isolated island energy management unit is in lonely net pattern for micro-capacitance sensor, based on gathering data and the data of prediction module offer, utilize algorithm optimization energy management Optimal Operation Model.Failure diagnosis unit, for adopting the diagnostic method based on specialist system, identifies the device of the position of components of fault, type and misoperation according to power system fault analysis and relay protection knowledge.Load, for realizing the administration by different levels of energy-storage system of accumulator and load, is divided into interruptible load, uninterrupted load and translatable load by energy storage and load management unit.In actual motion, preferentially meet the supply of electric power of uninterrupted load, then consider, according to exerting oneself of electricity generation system, the translatable load of high rate period is transferred to low rate period, finally consider the power supply of interruptible load.
System management module includes System Privileges unit, Data Management Unit, Curve Tool unit, four parts of graphics edition unit.System Privileges unit is used for the system that limits and runs extent of competence, and Data Management Unit is for storing the data received, and Curve Tool unit is used for converting data to trend curve, and graphics edition unit is for carrying out final image procossing.
Microgrid energy management system disclosed in the present embodiment also includes human-computer interaction interface, this human-computer interaction interface is for realizing carrying out between operator and EMS the transmission of real time data, historical data, prediction data, the interfacial structure of real-time display system parameter and operation plan.
Microgrid energy management system work process is: data monitoring unit collection real time data, running status, ambient parameter are transferred to prediction module and Systems Analysis Module, it was predicted that the prediction load data that load estimation unit is exported by module, the generating equipment data of the predicting unit that generates electricity output, Research on electricity price prediction unit output electricity price data are transmitted to Systems Analysis Module.Systems Analysis Module for the data received through quality of power supply evaluation unit to system index assay, whether each busbar voltage under Load flow calculation unit output systematic steady state running status, each branch current and power and network loss, the safety analysis unit each element of output power system transship, each node voltage whether within allowed band and the quality of power supply evaluate whether qualified check results, through the computational analysis of data analysis unit, serve data to scheduling and control module.In scheduling and control module, controlled by grid-connected/lonely network energy administrative unit according to the actual motion condition selecting of microgrid, be optimized user power utilization strategy and microgrid power generation dispatching;When microgrid breaks down warning, failure diagnosis unit is for carrying out accident analysis for trouble point based on the diagnostic method of specialist system.System Privileges unit in system management module limits system and runs extent of competence, the data received are stored afterwards by Data Management Unit, Curve Tool unit converts data to trend curve, and graphics edition unit carries out final image procossing, makes image show on human-computer interaction interface.Decision instruction quickly can be sent to field apparatus by communication interface according to system requirements by data monitoring unit in human-computer interaction module, Systems Analysis Module, scheduling and control module.The topological structure of the human-computer interaction interface real-time display system of microgrid energy management system, the access state of all electrical equipments, data monitoring state, accident alarming, and can real-time operation switch and disconnecting link etc..
The microgrid energy management system realizing load management that the present embodiment proposes, EPA is utilized each distributed generation system and load to be carried out data acquisition and the charging and discharging state of the output of each distributed generation unit, accumulator detected, the power of load, cell node quality of power supply information etc., make different decision-making by energy management strategies for varying environment and again decision instruction is transferred to bottom controller, completing energy management and coordinate to control, bottom controller controls distributed generation system and load switching by accepting upper strata decision instruction.
Above-mentioned bottom controller includes photovoltaic power controller, power of fan controller, diesel engine power controller, DC/DC discharge and recharge energy storage controller, load governor.Photovoltaic power controller receives scheduling and exerts oneself instruction, uses the uneoupled control of the active reactive of photovoltaic generation, it is achieved the adjustment of exerting oneself of photovoltaic generating system.Power of fan controller receives scheduling and exerts oneself instruction, and controller adopts meritorious and idle uneoupled control, changes catching wind energy through variable speed constant frequency adjustment, it is achieved the adjustment of exerting oneself of wind generator system.DC/DC discharge and recharge energy storage controller is the management of charging and discharging carrying out accumulator according to dispatch command.Diesel engine power controller is by coordinating microgrid energy rational management start and stop diesel engine.Load governor is used for accepting and perform scheduling and exerts oneself instruction, put into, excision, translation load, and load operation information is uploaded in real time.
The microgrid energy management system realizing load management that the present embodiment proposes has good opening and compatibility, distributed generation unit incision is exited flexibly, realize plug and play preferably, simultaneously, can Real-time Collection, prediction, Monitoring Data, it is supplied to dispatching control module and sends an instruction to bottom controller by communication interface, reducing microgrid operation, maintenance cost, improving stability and safety that microgrid runs.
Embodiment two
Present embodiments provide the optimized algorithm of a kind of microgrid energy management system based on non-cooperative game, comprise the steps:
S1, data monitoring unit gather meteorological data and the information on load data of micro-capacitance sensor, micro-capacitance sensor meteorological data includes the temperature in one day future, intensity of illumination, wind speed, information on load data include demand load data and uninterrupted load data, and using the input as microgrid energy management system of micro-capacitance sensor meteorological data and information on load data.
S2, according to temperature, intensity of illumination and wind conditions, and photovoltaic array and blower fan model, calculate at the temperature and intensity of illumination gathered in step sl, photovoltaic array allows the blower fan under the higher limit exerted oneself and wind speed to allow the higher limit exerted oneself.
S3, with micro-capacitance sensor cost of electricity-generating function for object function, the variable in object function has blower fan to exert oneself, photovoltaic array is exerted oneself, the exerting oneself and accumulator cell charging and discharging electricity of diesel-driven generator, and micro-capacitance sensor is optimized by input constraint condition and object function.
S4, micro-capacitance sensor is optimized after obtain exert oneself result and the accumulator cell charging and discharging result of the marginal cost of micro-capacitance sensor optimization, photovoltaic array, blower fan, diesel engine.
Demand load data in S5, the marginal cost that step S4 obtains optimization and step S1 substitute in the utility function of micro-capacitance sensor, demand load data in step S1 are substituted in the utility function of user, the gambling process that the utility function of the utility function of micro-capacitance sensor and user carries out interactive game is divided into 24 periods, is optimized game with the utility function of energy source and user side both sides for target.
S6, circulation step S1 to step S5 obtains tou power price and the load curve of n-th after being total to n time, circulation step S1 to step S5 obtains tou power price and the load curve of (n+1)th time after being total to n+1 time, if the deviation of the load curve that the load curve that (n+1)th time obtains and n-th obtain is less than or equal to ε, then terminate to optimize, otherwise, the load data of (n+1)th time is substituted into step S1, update the load data in S1, continue cycling through step S1 to step S5, until when deviation is less than ε, ε is the reference value of departure, the span of ε is set according to actual needs.
Above-described embodiment is the present invention preferably embodiment; but embodiments of the present invention are also not restricted to the described embodiments; the change made under other any spirit without departing from the present invention and principle, modification, replacement, combination, simplification; all should be the substitute mode of equivalence, be included within protection scope of the present invention.

Claims (9)

1. the microgrid energy management system realizing load management, it is characterised in that described microgrid energy management system includes human-computer interaction module, prediction module, Systems Analysis Module, scheduling and control module and system management module;
Described human-computer interaction module obtains the topological structure of micro-capacitance sensor and the access state of all electrical equipments, real-time operation switch and disconnecting link, display collecting device is transferred to the collection data of computer by communication port in real time, when micro-grid system is about to or breaks down, system determines fault fast and accurately by safety analysis and fault diagnosis, and interactive interface promptly sends warning;
Described prediction module is by inputting load model, generator unit model, Electricity Price model, algorithm optimization is utilized to obtain the prediction data of load prediction, generating prediction, Research on electricity price prediction, prediction data and real data are compared, obtains error statement analysis;
Described Systems Analysis Module is by Load flow calculation based on micro-capacitance sensor alternating current-direct current mixed current computation model, and under computing system steady-state operating condition, each busbar voltage, each branch current and power and network loss, solve systems organization and operating problem;The evaluation model based on fuzzy theory is provided according to voltage deviation, frequency departure, harmonic content, voltage pulsation, voltage flicker and three-phase imbalance by quality of power supply evaluation, electric energy quality monitoring system is utilized to read the monitoring information of each equipment for monitoring power quality, and be analyzed determining monitoring point electric pressure, present position, voltage fluctuation and flicker frequency, frequency departure type information, so that it is determined that the threshold value of qualified;Verify whether each element of power system transships by safety analysis, each node voltage whether within allowed band and the quality of power supply evaluate whether qualified;By data analysis for database storage data temporally with system requirements statistical analysis, including report data, the trend curve of Various types of data and display by word, figure, color or preserve;
Described scheduling and control module, by based on the data gathered and prediction obtains, the energy management Optimal Operation Model that input is set up, use algorithm is optimized, it is achieved grid-connected and isolated island energy management;Based on the diagnostic method of specialist system, identify the device of the position of components of fault, type and misoperation according to power system fault analysis and relay protection;Energy-storage system of accumulator and load rating management is realized by energy storage and load management unit;
Described system management module is within the scope of System Privileges, by data management module, utilizes Curve Tool that data are processed, is finally carried out final image analysis processing by graphics edition part.
2. a kind of microgrid energy management system realizing load management according to claim 1, it is characterised in that
Described human-computer interaction module comprises system topology unit, real-time operation unit, data monitoring unit and accident alarming unit;Wherein, described system topology unit is for obtaining the topological structure of micro-capacitance sensor and the access state of all electrical equipments, described real-time operation unit is used for real-time operation switch and disconnecting link, described data monitoring unit is transferred to the collection data of computer for display collecting device in real time by communication port, described accident alarming unit is for when micro-grid system is about to or breaks down, system determines fault fast and accurately by safety analysis and fault diagnosis, and interactive interface promptly sends warning.
3. a kind of microgrid energy management system realizing load management according to claim 1, it is characterised in that
Described prediction module includes load estimation unit, generating predicting unit, Research on electricity price prediction unit and prediction four parts of statistic unit, wherein, described load estimation unit is used for analytical calculation load model, optimized algorithm is adopted to obtain load prediction data, described generating predicting unit is used for analytical calculation generator unit model, optimized algorithm is adopted to obtain generating prediction data, described Research on electricity price prediction unit is used for analytical calculation Electricity Price model, optimized algorithm is adopted to obtain Research on electricity price prediction data, described prediction statistic unit is for comparing prediction data and real data, obtain error statement analysis.
4. a kind of microgrid energy management system realizing load management according to claim 1, it is characterised in that
nullDescribed Systems Analysis Module includes Load flow calculation unit、Quality of power supply evaluation unit、Safety analysis unit and data analysis unit,Wherein,Described Load flow calculation unit is for by micro-capacitance sensor alternating current-direct current mixed current computation model,Each busbar voltage under computing system steady-state operating condition、Each branch current and power and network loss,Described quality of power supply evaluation unit is for power quality index assessment,According to voltage deviation、Frequency departure、Harmonic content、Voltage pulsation、Voltage flicker and six kinds of quality of power supply evaluation indexes of three-phase imbalance provide a kind of evaluation model based on fuzzy theory,Described safety analysis unit is for by predetermined security constraints,Whether the verification each element of power system transships,Each node voltage whether within allowed band and the quality of power supply evaluate whether qualified,If constraints is unsatisfactory for,Then dispatcher is sent alarm signal and display,The data that described data analysis unit stores for statistical data analysis storehouse,Form trend curve and pass through word、Figure、Color displays and preserves.
5. a kind of microgrid energy management system realizing load management according to claim 1, it is characterised in that
nullDescribed scheduling comprises grid-connected energy management unit with controlling module、Isolated island energy management unit、Failure diagnosis unit、Energy storage and load management unit,Wherein,When described grid-connected energy management unit is in grid-connect mode for micro-capacitance sensor,Based on gathering data and the data of prediction module offer,Utilize algorithm optimization energy management Optimal Operation Model,When described isolated island energy management unit is in lonely net pattern for micro-capacitance sensor,Based on gathering data and the data of prediction module offer,Utilize algorithm optimization energy management Optimal Operation Model,Described failure diagnosis unit is for adopting the diagnostic method based on specialist system,The position of components of fault is identified according to power system fault analysis and relay protection knowledge、The device of type and misoperation,Described energy storage and load management unit are for realizing the administration by different levels of energy-storage system of accumulator and load,Load is divided into interruptible load,Uninterrupted load and translatable load.
6. a kind of microgrid energy management system realizing load management according to claim 1, it is characterized in that, described system management module includes System Privileges unit, Data Management Unit, Curve Tool unit, graphics edition unit, wherein, described System Privileges unit is used for the system that limits and runs extent of competence, described Data Management Unit is for storing the data received, described Curve Tool unit is used for converting data to trend curve, and described graphics edition unit is for carrying out final image procossing.
7. a kind of microgrid energy management system realizing load management according to claim 1, it is characterized in that, described microgrid energy management system also includes human-computer interaction interface, above-mentioned human-computer interaction interface is for realizing carrying out between operator and EMS the transmission of real time data, historical data, prediction data, the interfacial structure of real-time display system parameter and operation plan.
8. a kind of microgrid energy management system realizing load management according to claim 1, it is characterized in that, described microgrid energy management system utilizes EPA each distributed generation system and load are carried out data acquisition and the output of each distributed generation unit detected, the charging and discharging state of accumulator, the power of load, cell node quality of power supply information, make different decision-making by energy management strategies for varying environment and again decision instruction is transferred to bottom controller, complete energy management and coordinate to control, bottom controller controls distributed generation system and load switching by accepting upper strata decision instruction.
9. a kind of microgrid energy management system realizing load management according to claim 8, it is characterised in that
Described bottom controller includes photovoltaic power controller, power of fan controller, diesel engine power controller, DC/DC discharge and recharge energy storage controller, load governor;Wherein, described photovoltaic power controller receives scheduling and exerts oneself instruction, uses the uneoupled control of the active reactive of photovoltaic generation, it is achieved the adjustment of exerting oneself of photovoltaic generating system;Described power of fan controller receives scheduling and exerts oneself instruction, and controller adopts meritorious and idle uneoupled control, changes catching wind energy through variable speed constant frequency adjustment, it is achieved the adjustment of exerting oneself of wind generator system;Described DC/DC discharge and recharge energy storage controller is the management of charging and discharging carrying out accumulator according to dispatch command;Described diesel engine power controller is by coordinating microgrid energy rational management start and stop diesel engine;Described load governor is used for accepting and perform scheduling and exerts oneself instruction, put into, excision, translation load, and load operation information is uploaded in real time.
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106207799A (en) * 2016-07-07 2016-12-07 王登磊 A kind of switchgear house intelligent monitor system
CN106385051A (en) * 2016-10-20 2017-02-08 中国电力科学研究院 Distributed photovoltaic interactive terminal and method
CN106410966A (en) * 2016-11-02 2017-02-15 北京科诺伟业科技股份有限公司 Energy management device for multi-energy complementary system
CN106405333A (en) * 2016-10-13 2017-02-15 国网山东省电力公司威海供电公司 Distributed power grid electric energy quality prediction method and apparatus
CN106786547A (en) * 2017-01-12 2017-05-31 沃太能源南通有限公司 A kind of new micro-grid system and the networking scheduling method based on the system
CN106921178A (en) * 2017-05-09 2017-07-04 杭州赫智电子科技有限公司 A kind of mixed type micro-grid system
CN107918919A (en) * 2017-11-08 2018-04-17 华北电力大学 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method
CN107967567A (en) * 2017-12-14 2018-04-27 西南石油大学 Wind power plant dispatching method and system based on virtual power supply
CN108155672A (en) * 2017-12-22 2018-06-12 广西电网有限责任公司电力科学研究院 A kind of micro-capacitance sensor Real time optimal dispatch method and system
CN108988329A (en) * 2018-08-01 2018-12-11 国网安徽省电力有限公司培训中心 A kind of electric system energy-saving power generation dispatching controller and dispatching method
CN109428398A (en) * 2017-09-01 2019-03-05 中国科学院沈阳自动化研究所 A kind of industrial user's electricity consumption behavior acquisition device and method
CN111077879A (en) * 2019-12-23 2020-04-28 杭州电子科技大学 Green and energy-saving test control method for generator set
CN111509705A (en) * 2020-04-24 2020-08-07 明阳智慧能源集团股份公司 Power distribution network prediction system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101630840A (en) * 2009-08-12 2010-01-20 电子科技大学 Intelligent control system for microgrid energy
CN101777769A (en) * 2010-03-24 2010-07-14 上海交通大学 Multi-agent optimized coordination control method of electric network
CN104201672A (en) * 2014-09-02 2014-12-10 南方电网科学研究院有限责任公司 Novel micro-grid system control device
CN104283308A (en) * 2013-07-10 2015-01-14 北京中电建投微电网科技有限公司 Smart central strategy control system for micro-grid

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101630840A (en) * 2009-08-12 2010-01-20 电子科技大学 Intelligent control system for microgrid energy
CN101777769A (en) * 2010-03-24 2010-07-14 上海交通大学 Multi-agent optimized coordination control method of electric network
CN104283308A (en) * 2013-07-10 2015-01-14 北京中电建投微电网科技有限公司 Smart central strategy control system for micro-grid
CN104201672A (en) * 2014-09-02 2014-12-10 南方电网科学研究院有限责任公司 Novel micro-grid system control device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吴雄等: "微电网能量管理系统研究综述", 《电力自动化设备》 *

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106207799B (en) * 2016-07-07 2018-04-20 王登磊 A kind of switchgear house intelligent monitor system
CN106207799A (en) * 2016-07-07 2016-12-07 王登磊 A kind of switchgear house intelligent monitor system
CN106405333A (en) * 2016-10-13 2017-02-15 国网山东省电力公司威海供电公司 Distributed power grid electric energy quality prediction method and apparatus
CN106405333B (en) * 2016-10-13 2020-01-21 国网山东省电力公司威海供电公司 Method and device for predicting power quality of distributed power grid
CN106385051A (en) * 2016-10-20 2017-02-08 中国电力科学研究院 Distributed photovoltaic interactive terminal and method
CN106410966A (en) * 2016-11-02 2017-02-15 北京科诺伟业科技股份有限公司 Energy management device for multi-energy complementary system
CN106786547A (en) * 2017-01-12 2017-05-31 沃太能源南通有限公司 A kind of new micro-grid system and the networking scheduling method based on the system
CN106921178A (en) * 2017-05-09 2017-07-04 杭州赫智电子科技有限公司 A kind of mixed type micro-grid system
CN109428398A (en) * 2017-09-01 2019-03-05 中国科学院沈阳自动化研究所 A kind of industrial user's electricity consumption behavior acquisition device and method
CN107918919A (en) * 2017-11-08 2018-04-17 华北电力大学 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method
CN107967567A (en) * 2017-12-14 2018-04-27 西南石油大学 Wind power plant dispatching method and system based on virtual power supply
CN108155672A (en) * 2017-12-22 2018-06-12 广西电网有限责任公司电力科学研究院 A kind of micro-capacitance sensor Real time optimal dispatch method and system
CN108155672B (en) * 2017-12-22 2021-05-18 广西电网有限责任公司电力科学研究院 Micro-grid real-time optimization scheduling method and system
CN108988329A (en) * 2018-08-01 2018-12-11 国网安徽省电力有限公司培训中心 A kind of electric system energy-saving power generation dispatching controller and dispatching method
CN108988329B (en) * 2018-08-01 2021-04-23 国网安徽省电力有限公司培训中心 Energy-saving power generation dispatching controller and dispatching method for power system
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CN111509705A (en) * 2020-04-24 2020-08-07 明阳智慧能源集团股份公司 Power distribution network prediction system

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