CN106786547A - A kind of new micro-grid system and the networking scheduling method based on the system - Google Patents

A kind of new micro-grid system and the networking scheduling method based on the system Download PDF

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Publication number
CN106786547A
CN106786547A CN201710020326.4A CN201710020326A CN106786547A CN 106786547 A CN106786547 A CN 106786547A CN 201710020326 A CN201710020326 A CN 201710020326A CN 106786547 A CN106786547 A CN 106786547A
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China
Prior art keywords
module
energy storage
data
user
microgrid
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CN201710020326.4A
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Chinese (zh)
Inventor
黄乐
林栋�
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NEOVOLTAIC ENERGY NANTONG CO Ltd
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NEOVOLTAIC ENERGY NANTONG CO Ltd
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Priority to CN201710020326.4A priority Critical patent/CN106786547A/en
Priority to PCT/CN2017/081352 priority patent/WO2018129829A1/en
Publication of CN106786547A publication Critical patent/CN106786547A/en
Pending legal-status Critical Current

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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
    • 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
    • H02J13/00006Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • 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
    • 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
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • 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
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

Present invention is disclosed a kind of new micro-grid system, including connecting user load installed in user terminal, the distributed energy storage system and microgrid management system of energy-storage battery and PV components, and communicated by internet socket communication technology between microgrid management system and distributed energy storage system, realize that dynamic sets up microgrid by the access of distributed energy storage system, user data of the microgrid management system in the distributed energy storage system of collection carries out discharge and recharge scheduling, while actual microgrid load power demands are met, maximum revenue is realized.The present invention provides a kind of new micro-grid system, distributed energy storage system access microgrid and communicated by increasing in user side, realize that dynamic sets up microgrid, the scheduling controlling of electric power is carried out, the functions such as the load monitoring and intelligent predicting, solar power generation of the power network in region are predicted and management, electrical storage and electricity consumption are dispatched are realized.

Description

A kind of new micro-grid system and the networking scheduling method based on the system
Technical field
Adjusted the present invention relates to a kind of micro-grid system, more particularly to a kind of new micro-grid system and the networking based on the system Degree method.
Background technology
Since 21 century, with the continuous decline of the resource reserves such as oil, coal, worldwide energy supply Constant tension, the regenerative resource for developing clean and effective turns into the main outlet for solving the problems, such as future source of energy.Application at present Relatively broad several new energy are distributed power source including solar energy, wind energy, fuel cell etc.(Distributed Energy Resources, DER), corresponding some generation technologies are referred to as distributed generation technology(Distributed Generation, DG).Distributed generation technology is combined with bulk power grid, is considered to reduce by domestic and international many experts and scholars Energy consumption, the major way for improving power system security and flexibility, but influence of the distributed generation technology to bulk power grid be One major issue having to take into account that.In order to be able to the economic benefit for making full use of distributed power generation to be brought, while improve can By property, and reduce its impact to major network, micro-capacitance sensor as far as possible(microgrid)Concept be proposed out.
Micro-capacitance sensor is the less independent dispersion system of scale, using substantial amounts of modern electric technology, by gas turbine, wind Electricity, photovoltaic generation, fuel cell and energy storage device etc. are merged, and are directly connected on user side.For bulk power grid, micro- electricity Net can be considered as a controllable in power network, and it can act to meet the need of outside transmission and distribution networkses within the several seconds Ask;On the other hand, micro-capacitance sensor can also meet the particular demands of user, such as improve local reliability, keep local voltage stabilization, lead to Cross and improve energy utilization efficiency using waste heat and uninterrupted power source etc. is provided.Micro-capacitance sensor and bulk power grid pass through energy exchange, the two It is standby each other, so as to greatly improve power supply reliability.
But micro-capacitance sensor at this stage also compares and has limitation, such as can receive territory restriction, it is impossible to realize big geographic range Interior total system control scheduling, also system call ability has been fixed when mounted, and following dilatation, upgrading is all inconvenient, moreover To be divided into different specifications, small-sized household use/commercialization/industrial rank etc. in system configuration.
The content of the invention
A kind of defect it is an object of the invention to overcome prior art, there is provided new micro-grid system, carries out the tune of electric power Degree control, realizes that the load monitoring and intelligent predicting, solar power generation of the power network in region are predicted and management, electrical storage and use The functions such as electricity scheduling, distributed energy storage system access microgrid and are communicated by increasing in user side, realize that dynamic is set up micro- Net.
To achieve the above object, the present invention proposes following technical scheme:
A kind of new micro-grid system, including terminal module and microgrid management system, and each other by internet communication, its In:
Terminal module is multiple distributed energy storage systems, and the load of user, energy-storage battery and PV components are connected installed in user terminal, Distributed energy storage system accesses internet by socket communication technology, realizes the real-time communication with microgrid management system;
The microgrid management system include data acquisition module, data analysis module, data memory module, dispatching management module, Optimizing scheduling module, display module, generating prediction module, power consumption prediction module and exception processing module;
The data acquisition module and each distributed energy storage system communication, gather the user's storage in each distributed energy storage system Energy data, and the energy storage data is activation that will be gathered is stored to data memory module and data analysis module is analyzed;
Data analysis module is analyzed calculating and obtains microgrid electricity consumption situation, power generation situation and storage to each energy storage data for gathering Can situation data;
The PV module information combinations weather data prediction following one that the generating prediction module is connected according to distributed energy storage system The generated energy of section time;
The load histories electricity consumption data that the power consumption prediction module is connected according to distributed energy storage system, analyzes the electricity consumption of user Custom, and using multiple linear regression and the power consumption of intelligence learning algorithm prediction following a period of time;
The optimizing scheduling module sets demand charge situation according to user, automatically analyzes user power utilization peak value and produces cycle, profit Charged with low ebb or flat peak, crest discharge;
Data, generated energy, the electricity consumption of the prediction of generating prediction module that the dispatching management module is analyzed according to data analysis module The power consumption and user power utilization custom of prediction module prediction, user's electricity peak value produce the cycle, to each distributed energy storage in microgrid System sends corresponding discharge and recharge dispatch command, adjusts charge condition in new micro-grid system, while dynamic adjustment microgrid and electricity Maximum between net is bought electricity and sells electrical power, and dispatching management module also supports self-defined schedule power of generating power for their own use, during discharge and recharge Between and setting diesel engine discharge and recharge condition;
The exception processing module real-time monitoring and the distributed energy storage system of system communication, alarm the automatic transmission of abnormal conditions Information adjusts scheduling strategy to dispatching management module.
User's energy storage data include customer charge data, photovoltaic generation data, system power data, system mode number According to.
The PV module informations include the installation site of PV components, photovoltaic module performance parameter and inverter performance parameter.
A kind of networking scheduling method based on new micro-grid system, including following content:
A, distributed energy storage system is installed to user terminal, the load with user, energy-storage battery and PV components are connected, and collection is used Family loads electricity consumption situation, energy-storage battery charge status and PV component power generation situations;
B, the distributed energy storage system that will be installed access microgrid management system real-time communication, distribution by internet socket communication After formula energy-storage system is accessed, microgrid management system automatically configures distributed energy storage system equipment numbering, and carries out packet and be incorporated into tune Degree control queue, realizes that dynamic microgrid is set up;
During the not actuated scheduling controlling of c, microgrid management system, distributed energy storage system is by logic operation of generating power for their own use;
D, microgrid management system start scheduling controlling, and distributed energy storage system stops operation logic of generating power for their own use, and with per second one The speed upload user energy storage data of bar to microgrid management system data acquisition module, while receive microgrid management system transmission The system power dispatch command for coming over;
E, the data analysis module of microgrid management system collect to the user's energy storage data for sending over, and analyze each use The electricity consumption situation at family, energy storage situation and power generation situation, dispatching management module is handed to by analysis result;
Generating prediction module after distributed energy storage system upload user energy storage data, use by automatic acquisition in f, microgrid management system Family energy storage geographical position, photovoltaic panel mount message, photovoltaic module performance parameter, inverter performance parameter, the energy storage system of use System performance parameter, and local weather data are combined, photovoltaic module power generation situation in energy-storage system is predicted, will predict the outcome Deliver to dispatching management module;
Power consumption prediction module is after distributed energy storage system upload user energy storage data in g, microgrid management system, by history Data are analyzed contrast, obtain user power utilization custom, while being predicted to the ensuing electricity consumption situation of user, prediction are tied Fruit is delivered to dispatching management module;
Optimizing scheduling module sets demand charge situation according to user in h, microgrid management system, automatically analyzes user power utilization peak value In the generation cycle, charged using low ebb or flat peak, crest discharge;
I, dispatching management module are accustomed to, the photovoltaic module power generation situation of prediction according to default scheduling strategy with reference to user power utilization, User's energy storage situation that the user power utilization situation of prediction and implementation collect, and according to the operation of each distributed energy storage system Situation sends different discharge and recharge dispatch commands, and the cycle is produced with reference to electric peak value, is meeting actual microgrid load power demands Meanwhile, realize maximum revenue;
J, system are normally run simultaneously, and exception processing module implements the ruuning situation of modules in monitoring system, for exception Situation sends warning message, and adjust automatically scheduling strategy automatically.
Disclosed new micro-grid system, only need to pass through socket communication by the distributed energy storage system of user side Technology accesses microgrid management system, and microgrid management system will automatically configure device numbering, and carries out packet and be incorporated into scheduling controlling Queue, sets up microgrid automatically, realizes the dilatation and upgrading of microgrid.
New micro-grid system is used by user's energy storage real time data acquisition, being predicted to user's energy storing and electricity generating situation Family load electricity consumption situation is predicted, and with reference to the consumption habit and electric peak period of user, sends different to energy-storage system Schedule information, realizes whole micro-grid system total activation.
Compared with prior art, a kind of new micro-grid system that the present invention is disclosed, with following usefulness:
The system is the less scattered autonomous system of scale, is that by the autonomous system of self-contr ol, protection and management, Both can be run with external electrical network, it is also possible to isolated operation;
The system can collect distributed power source, energy storage device, energy conversion device, associated loadings and monitoring, protection device Together, small-sized electric system is formed.
The system can realize the autonomous system of self-contr ol, protection and management, and it is relied on as complete power system Power-balance control, running Optimization, default detection and protection, power quality controlling are realized in the control and management energy supply of itself Etc. aspect function.
Brief description of the drawings
Fig. 1 is the block schematic illustration of new micro-grid system of the invention.
Specific embodiment
Below in conjunction with accompanying drawing of the invention, the technical scheme to the embodiment of the present invention carries out clear, complete description.
As shown in figure 1, disclosed a kind of new micro-grid system, including terminal module and microgrid management system, And pass through internet communication each other.
Wherein, the terminal module is multiple distributed energy storage systems, and the load of user, energy storage are connected installed in user terminal Battery and PV components, for gathering user power utilization load data, photovoltaic module hair point data, system power data and system mode The information such as data, the distributed energy storage system accesses internet by socket communication technology, realizes and microgrid management system Real-time communication, microgrid management system is uploaded to by the data message of collection, and the distributed energy storage system of access obtains equipment automatically Numbering, and carry out packet and be incorporated into scheduling controlling queue realizing networking, at the same distributed energy storage system according to user's actual need from Increase or decrease energy storage quantity, PV component counts or number of batteries, microgrid management system automatic identification and dynamic regulation.
The microgrid management system includes data acquisition module, data analysis module, data memory module, management and running mould Block, optimizing scheduling module, display module, generating prediction module, power consumption prediction module and exception processing module, wherein:
The data acquisition module and each distributed energy storage system communication, gather the user of each distributed energy storage system upload Energy storage data(Including user power utilization load data, photovoltaic module hair point data, the letter such as system power data and system state data Breath), the energy storage data is activation that will be gathered is stored to data memory module and data analysis module is analyzed.
Data analysis module carries out Macro or mass analysis and calculates the electricity consumption feelings for obtaining whole microgrid to each energy storage data for gathering Condition, power generation situation and energy storage situation data, and the data of analytical calculation are transferred into dispatching management module.
The PV module informations that the generating prediction module is connected according to distributed energy storage system(Including energy-storage system geography position Put, photovoltaic panel mount message, the photovoltaic module performance parameter of configuration, the performance parameter of the inverter of use, energy-storage system Can parameter), with reference to the generated energy of real-time weather data prediction a period of time in future, and prediction data is transferred into management and running mould Block.
The load histories electricity consumption data that the power consumption prediction module is connected according to distributed energy storage system, analyzes user's Consumption habit, and using multiple linear regression and the power consumption of intelligence learning algorithm prediction following a period of time, by prediction data Transfer to dispatching management module.
The optimizing scheduling module sets demand charge situation according to user, automatically analyzes user power utilization peak value and produces week Phase, charged using low ebb or flat peak, crest discharge reduces the expenditure of user's demand charge, the electric peak period that will be analyzed transfers To dispatching management module.
Data that the dispatching management module is analyzed according to data analysis module, the generated energy of generating prediction module prediction, The power consumption and user power utilization custom of the prediction of power consumption prediction module, user's electricity peak value produce the cycle, with reference to scheduling strategy to microgrid Interior each distributed energy storage system sends corresponding discharge and recharge dispatch command, adjusts charge condition in new micro-grid system, together When the maximum that dynamically adjusts between microgrid and power network buy electricity and sell electrical power, self-defined schedule power of generating power for their own use, during discharge and recharge Between and setting diesel engine discharge and recharge condition, realize maximum revenue.
The distributed energy storage system of the exception processing module real-time monitoring and system communication, to the automatic transmission of abnormal conditions Warning message adjusts scheduling strategy to dispatching management module.
Real-time display module is used to show the information and schedule information of each distributed energy storage system.
A kind of disclosed networking scheduling method based on new micro-grid system, including following content:
A, distributed energy storage system is installed to user terminal, the load with user, energy-storage battery and PV components are connected, and collection is used Family loads electricity consumption situation, energy-storage battery charge status and PV component power generation situations;
B, the distributed energy storage system that will be installed access microgrid management system real-time communication, distribution by internet socket communication After formula energy-storage system is accessed, microgrid management system automatically configures distributed energy storage system equipment numbering, and carries out packet and be incorporated into tune Degree control queue, realizes that dynamic microgrid is set up;
During the not actuated scheduling controlling of c, microgrid management system, distributed energy storage system is by logic operation of generating power for their own use;
D, microgrid management system start scheduling controlling, and distributed energy storage system stops operation logic of generating power for their own use, and with per second one The speed upload user energy storage data of bar to microgrid management system data acquisition module, while receive microgrid management system transmission The system power dispatch command for coming over;
E, the data analysis module of microgrid management system collect to the user's energy storage data for sending over, and analyze each use The electricity consumption situation at family, energy storage situation and power generation situation, dispatching management module is handed to by analysis result;
Generating prediction module after distributed energy storage system upload user energy storage data, use by automatic acquisition in f, microgrid management system Family energy storage geographical position, photovoltaic panel mount message, photovoltaic module performance parameter, inverter performance parameter, the energy storage system of use System performance parameter, and local weather data are combined, photovoltaic module power generation situation in energy-storage system is predicted, will predict the outcome Deliver to dispatching management module;
Power consumption prediction module is after distributed energy storage system upload user energy storage data in g, microgrid management system, by history Data are analyzed contrast, obtain user power utilization custom, while being predicted to the ensuing electricity consumption situation of user, prediction are tied Fruit is delivered to dispatching management module;
Optimizing scheduling module sets demand charge situation according to user in h, microgrid management system, automatically analyzes user power utilization peak value In the generation cycle, charged using low ebb or flat peak, crest discharge;
I, dispatching management module are accustomed to, the photovoltaic module power generation situation of prediction according to default scheduling strategy with reference to user power utilization, User's energy storage situation that the user power utilization situation of prediction and implementation collect, and according to the operation of each distributed energy storage system Situation sends different discharge and recharge dispatch commands, and the cycle is produced with reference to electric peak value, is meeting actual microgrid load power demands Meanwhile, realize maximum revenue;
J, system are normally run simultaneously, and exception processing module implements the ruuning situation of modules in monitoring system, for exception Situation sends warning message, and adjust automatically scheduling strategy automatically.
Technology contents of the invention and technical characteristic have revealed that as above, but those of ordinary skill in the art still may base Make a variety of replacements and modification without departing substantially from spirit of the present invention in teachings of the present invention and announcement, therefore, the scope of the present invention Should be not limited to the content disclosed in embodiment, and should include various without departing substantially from replacement of the invention and modification, and be this patent Shen Please claim covered.

Claims (4)

1. a kind of new micro-grid system, it is characterised in that:Including terminal module and microgrid management system, and each other by mutual Connected network communication, wherein:
Terminal module is multiple distributed energy storage systems, and the load of user, energy-storage battery and PV components are connected installed in user terminal, Distributed energy storage system accesses internet by socket communication technology, realizes the real-time communication with microgrid management system;
The microgrid management system include data acquisition module, data analysis module, data memory module, dispatching management module, Optimizing scheduling module, display module, generating prediction module, power consumption prediction module and exception processing module;
The data acquisition module and each distributed energy storage system communication, gather the user's storage in each distributed energy storage system Energy data, and the energy storage data is activation that will be gathered is stored to data memory module and data analysis module is analyzed;
Data analysis module is analyzed calculating and obtains microgrid electricity consumption situation, power generation situation and storage to each energy storage data for gathering Can situation data;
The PV module information combinations weather data prediction following one that the generating prediction module is connected according to distributed energy storage system The generated energy of section time;
The load histories electricity consumption data that the power consumption prediction module is connected according to distributed energy storage system, analyzes the electricity consumption of user Custom, and using multiple linear regression and the power consumption of intelligence learning algorithm prediction following a period of time;
The optimizing scheduling module sets demand charge situation according to user, automatically analyzes user power utilization peak value and produces cycle, profit Charged with low ebb or flat peak, crest discharge;
Data, generated energy, the electricity consumption of the prediction of generating prediction module that the dispatching management module is analyzed according to data analysis module The power consumption and user power utilization custom of prediction module prediction, user's electricity peak value produce the cycle, to each distributed energy storage in microgrid System sends corresponding discharge and recharge dispatch command, adjusts charge condition in new micro-grid system, while dynamic adjustment microgrid and electricity Maximum between net is bought electricity and sells electrical power, and dispatching management module also supports self-defined schedule power of generating power for their own use, during discharge and recharge Between and setting diesel engine discharge and recharge condition;
The exception processing module real-time monitoring and the distributed energy storage system of system communication, alarm the automatic transmission of abnormal conditions Information adjusts scheduling strategy to dispatching management module.
2. new micro-grid system according to claim 1, it is characterised in that:User's energy storage data include customer charge Data, photovoltaic generation data, system power data, system state data.
3. new micro-grid system according to claim 2, it is characterised in that:The PV module informations include the peace of PV components Holding position, photovoltaic module performance parameter and inverter performance parameter.
4. a kind of networking scheduling method based on new micro-grid system in claim 1, it is characterised in that including following content:
A, distributed energy storage system is installed to user terminal, the load with user, energy-storage battery and PV components are connected, and collection is used Family loads electricity consumption situation, energy-storage battery charge status and PV component power generation situations;
B, the distributed energy storage system that will be installed access microgrid management system real-time communication, distribution by internet socket communication After formula energy-storage system is accessed, microgrid management system automatically configures distributed energy storage system equipment numbering, and carries out packet and be incorporated into tune Degree control queue, realizes that dynamic microgrid is set up;
During the not actuated scheduling controlling of c, microgrid management system, distributed energy storage system is by logic operation of generating power for their own use;
D, microgrid management system start scheduling controlling, and distributed energy storage system stops operation logic of generating power for their own use, and with per second one The speed upload user energy storage data of bar to microgrid management system data acquisition module, while receive microgrid management system transmission The system power dispatch command for coming over;
E, the data analysis module of microgrid management system collect to the user's energy storage data for sending over, and analyze each use The electricity consumption situation at family, energy storage situation and power generation situation, dispatching management module is handed to by analysis result;
Generating prediction module after distributed energy storage system upload user energy storage data, use by automatic acquisition in f, microgrid management system Family energy storage geographical position, photovoltaic panel mount message, photovoltaic module performance parameter, inverter performance parameter, the energy storage system of use System performance parameter, and local weather data are combined, photovoltaic module power generation situation in energy-storage system is predicted, will predict the outcome Deliver to dispatching management module;
Power consumption prediction module is after distributed energy storage system upload user energy storage data in g, microgrid management system, by history Data are analyzed contrast, obtain user power utilization custom, while being predicted to the ensuing electricity consumption situation of user, prediction are tied Fruit is delivered to dispatching management module;
Optimizing scheduling module sets demand charge situation according to user in h, microgrid management system, automatically analyzes user power utilization peak value In the generation cycle, charged using low ebb or flat peak, crest discharge;
I, dispatching management module are accustomed to, the photovoltaic module power generation situation of prediction according to default scheduling strategy with reference to user power utilization, User's energy storage situation that the user power utilization situation of prediction and implementation collect, and according to the operation of each distributed energy storage system Situation sends different discharge and recharge dispatch commands, and the cycle is produced with reference to electric peak value, is meeting actual microgrid load power demands Meanwhile, realize maximum revenue;
J, system are normally run simultaneously, and exception processing module implements the ruuning situation of modules in monitoring system, for exception Situation sends warning message, and adjust automatically scheduling strategy automatically.
CN201710020326.4A 2017-01-12 2017-01-12 A kind of new micro-grid system and the networking scheduling method based on the system Pending CN106786547A (en)

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Cited By (19)

* Cited by examiner, † Cited by third party
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