CN108574284A - A kind of electric vehicle distribution regulator control system and method towards electric energy service platform - Google Patents
A kind of electric vehicle distribution regulator control system and method towards electric energy service platform Download PDFInfo
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- CN108574284A CN108574284A CN201810427158.5A CN201810427158A CN108574284A CN 108574284 A CN108574284 A CN 108574284A CN 201810427158 A CN201810427158 A CN 201810427158A CN 108574284 A CN108574284 A CN 108574284A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Abstract
The invention discloses a kind of electric vehicle distribution regulator control systems and method towards electric energy service platform, the system is suitable for regulating and controlling each electric vehicle of access power distribution network, including Coordination module, evaluation module and monitoring module, monitoring module is communicated to connect with each electric vehicle, wherein：Coordination module is suitable for generating power distribution network information according to load prediction results and power distribution network characteristic, and power distribution network information is sent to evaluation module；Evaluation module is suitable for receiving the power distribution network information issued by Coordination module and the charge information reported by monitoring module, calculates charge parameter according to power distribution network information and charge information and is issued to monitoring module；Monitoring module is suitable for collecting the charging behavioural information of the charge characteristic information and user of its associated each electric vehicle, charge characteristic information and charging behavioural information are merged into charge information and reports to evaluation module, charging priority list is generated based on the charge parameter that evaluation module issues, to regulate and control corresponding electric vehicle according to charging priority list.
Description
Technical field
The present invention relates to electricity power field, more particularly to a kind of electric vehicle distribution tune towards electric energy service platform
Control system and method.
Background technology
As increasing environmental pollution and the energy are increasingly in short supply, people rely on the fuel oil for reducing automobile and development new energy
The requirement of automobile is more and more urgent, electric vehicle (VE, Electrical Vehicle) with its superior performance and price relatively
It is low widely to be promoted and applied in various countries.Nowadays, the overall sales volume of electric vehicle is worldwide always in steady-state growth
Modern electric vehicle sales volume has been more than 1,000,000 in the recent period, and the market share would be possible to continue to increase in future.
However, a large amount of popularize of electric vehicle will bring power distribution network load impact, increase the pressure of hair electrical power trans mission/distribution system.
It is of great significance for this purpose, establishing the charge model of electric automobile load with assessing the influence that it generates power distribution network.It is existing
Electric vehicle regulation and control method is to carry out probability simulation, assessment electricity to charging load using the statistical data of electric vehicle charging behavior
Electrical automobile accesses the influence of distribution, and then realizes charging station planning and electric vehicle management of charging and discharging, but since electric vehicle fills
Electric load has time and spatial location laws, and when using the above method, electric vehicle charging may be uncontrolled in regulation process
System, leads to system overload, power attenuation and voltage fluctuation.
Invention content
For this purpose, the present invention provides a kind of technical solution of the electric vehicle distribution regulation and control towards electric energy service platform, with
Try hard to solve the problems, such as or at least alleviate exist above.
According to an aspect of the present invention, a kind of electric vehicle distribution regulation and control system towards electric energy service platform is provided
System, suitable for regulating and controlling to each electric vehicle for accessing power distribution network, which includes Coordination module, evaluation module and monitoring mould
Block, monitoring module are communicated to connect with each electric vehicle.Wherein, Coordination module is suitable for according to load prediction results and power distribution network characteristic
Power distribution network information is generated, and power distribution network information is sent to evaluation module；Evaluation module is suitable for what reception was issued by Coordination module
Power distribution network information and the charge information reported by monitoring module, according to power distribution network information and charge information calculate charge parameter and under
It is sent to monitoring module；Monitoring module is suitable for collecting the charging behavior of the charge characteristic information and user of its associated each electric vehicle
Charge characteristic information and charging behavioural information are merged into charge information and report to evaluation module, and is based on evaluation module by information
The charge parameter issued generates charging priority list, to regulate and control corresponding electric vehicle according to charging priority list.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, load
Historical load data of the prediction result based on each grid node in power distribution network generates, and power distribution network characteristic includes distribution network structure structure
Quantity is accessed with the maximum electric vehicle of each grid node in power distribution network.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, coordinate
Module is further adapted for dividing the preset coordination period, to obtain corresponding multiple periods；To each period
Each grid node in lower power distribution network is stepped up the quantity for accessing electric vehicle in the grid node, and is based on power distribution network net
Frame structure is run by current trend；According to the operation result of the grid node, corresponding maximum electric vehicle access quantity and bear
Lotus prediction result determines the maximum permissible load of the grid node；By the maximum permissible load of each grid node and corresponding electricity
Valence level is associated, to form power distribution network information.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, charging
Characteristic information includes the practical state-of-charge of electric vehicle and electric vehicle it is expected state-of-charge, and charging behavior information includes electronic vapour
Vehicle charging duration.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, charging
Priority in priority list is determined by following formula：
Wherein, min | | expression is minimized, and c indicates electric vehicle power purchase total price,For electric vehicle at node i to
Power grid purchase of electricity,For the average power purchase price at node i, m1And m2The respectively Base Serial Number and knot of power purchase process interior joint
Beam is numbered, QEVFor batteries of electric automobile rated capacity, PiIt is limited for load at node i, niFor the electric vehicle accessed at node i
Quantity, T are electric vehicle in peak, the sum of the charging time of low ebb peaceful period.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, charging
Priority in priority list is also determined by following formula：
Wherein, min | | expression is minimized,It is electric vehicle at node i to power grid purchase of electricity,For node i
The average power purchase price at place, m1And m2The respectively Base Serial Number and finish number of power purchase process interior joint,To be used at node k
Family to power grid electricity sales amount,For the sale of electricity price at node k, cBuFor the battery use cost for period of discharging, l1And l2It sells respectively
The Base Serial Number and finish number of electric process interior joint.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, electric discharge
The battery use cost c of periodBuIt is determined with following formula：
Wherein, cBFor battery cost, r is discount rate, and l is service time of battery, and L is battery rated life time, CBHold for battery
Amount, EBFor battery efficiency.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, monitoring
The charge parameter that module is further adapted for issuing based on evaluation module generates risk factors；Risk factors are uploaded to evaluation module, with
Risk factors are uploaded to Coordination module by instruction evaluation module, so that Coordination module carries out power distribution network regulation and control according to risk factors.
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, risk
Factor is determined by following formula：
Wherein, R indicates risk factors, SoCeUser it is expected charge volume, SoC when being unchargedaFor the practical carrying capacity of battery,
eBFor average cell efficiency, eCFor average charge efficiency, PCFor node charge power, HCFor electric vehicle charging hourage
Optionally, according to the present invention in the electric vehicle distribution regulator control system towards electric energy service platform, monitoring
Module is further adapted for charging priority list reporting to evaluation module；Evaluation module is further adapted for receiving the charging that monitoring module reports
Priority list, and charging priority list is assessed.
According to a further aspect of the invention, a kind of electric vehicle distribution regulation and control towards electric energy service platform are also provided
Method, this method be suitable for executed in the electric vehicle distribution regulator control system towards electric energy service platform, the system be suitable for pair
Each electric vehicle of access power distribution network is regulated and controled, including Coordination module, evaluation module and monitoring module, monitoring module and each electricity
Electrical automobile communicates to connect, and this method comprises the following steps：First, Coordination module is given birth to according to load prediction results and power distribution network characteristic
It is sent to evaluation module at power distribution network information, and by power distribution network information；Monitoring module collects filling for its associated each electric vehicle
Charge characteristic information and charging behavioural information are merged into charge information and reported by the charging behavioural information of electrical characteristics information and user
To evaluation module；Evaluation module receives the power distribution network information issued by Coordination module and the charge information reported by monitoring module,
Charge parameter is calculated according to power distribution network information and charge information and is issued to monitoring module；Monitoring module is issued based on evaluation module
Charge parameter generate charging priority list, to regulate and control corresponding electric vehicle according to charging priority list.
The technical solution of electric vehicle distribution regulation and control according to the present invention towards electric energy service platform, first passes through coordination
Module generates power distribution network information and is sent to evaluation module, and monitoring module is reported to evaluation module after forming charge information,
Evaluation module calculates charge parameter according to power distribution network information and charge information and is issued to monitoring module, and monitoring module is filled based on this
Electrical parameter generates charging priority list, to regulate and control corresponding electric vehicle according to the charging priority list.In said program
In, by each controller switching equipment in distribution network system and electrical equipment according to the regular hierarchical design of coordination control of intelligent body, form phase
The intelligent module being mutually connected, i.e. Coordination module, evaluation module and monitoring module, and then establish out an intelligent volume grid.It is right
For each intelligent module, the communication between the intellectualized module and its local environment and other intelligent modules is simulated
And coordination reduces power distribution network and largely accesses electronic vapour for incomplete, uncertain information is adaptable and autgmentability
Peak load after vehicle is poor, realizes the automation distributed AC servo system to charge to electric vehicle, has been obviously improved electric vehicle demand
The level of side pipe reason, is expected to provide technical support for the practical regulation and control work of electric vehicle.
Description of the drawings
To the accomplishment of the foregoing and related purposes, certain illustrative sides are described herein in conjunction with following description and drawings
Face, these aspects indicate the various modes that can put into practice principles disclosed herein, and all aspects and its equivalent aspect
It is intended to fall in the range of theme claimed.Read following detailed description in conjunction with the accompanying drawings, the disclosure it is above-mentioned
And other purposes, feature and advantage will be apparent.Throughout the disclosure, identical reference numeral generally refers to identical
Component or element.
Fig. 1 shows the electric vehicle distribution regulation and control according to an embodiment of the invention towards electric energy service platform
The schematic diagram of system 100；
Fig. 2 shows the schematic diagrames of typical day load curve according to an embodiment of the invention；
Fig. 3 shows the comparison diagram of the load curve under three kinds of different situations according to an embodiment of the invention；With
And
Fig. 4 shows the electric vehicle distribution regulation and control according to an embodiment of the invention towards electric energy service platform
The flow chart of method 400.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Include various controller switching equipments and electrical equipment, by these equipment according to the association of intelligent body in distribution network system
The regular hierarchical design of regulation and control system is at the intelligent module being mutually linked, to establish an intelligent volume grid, to simulate intelligent body
Communication and coordination between module and its local environment and other intelligent modules, reduce power distribution network and largely access electric vehicle
Peak load afterwards is poor.In structure as above intelligent volume grid, according to the characteristic of intelligent body and electric vehicle charging operation system
System institutional framework proposes three layers of intelligent body architecture of electric vehicle charging operation system, i.e., towards electric energy service platform
Electric vehicle distribution regulator control system.
Under market environment, electric vehicle is by electric vehicle charging service operating agency (EVCSO, Electric
Vehicle Charging Service Operator) control, and distribution network systems operating agency (DSO,
Distribution System Operator) monitoring under, the effect of EVCSO is set electric vehicle as load or energy storage
Standby to participate in electricity market activity, DSO can be realized and be directly controlled to electric vehicle under special circumstances.Each electronic vapour
Vehicle is all equipped with a component that electricity and information exchange are carried out between power grid, i.e. entire car controller (VC, Vehicle
Controller), to form the Operation Network of an information mutual communication, EVCSO is responsible for middle pressure, low voltage electric network in access area
In electric vehicle cluster and access the electric vehicle of dispersion of low pressure home network and be managed.
Fig. 1 shows the electric vehicle distribution regulation and control according to an embodiment of the invention towards electric energy service platform
The schematic diagram of system 100.It should be pointed out that the electric vehicle distribution regulator control system 100 towards electric energy service platform in Fig. 1 is only
It is exemplary, it, can in the electric vehicle distribution regulator control system 100 towards electric energy service platform in specific practice situation
To have the Coordination module of different number, evaluation module and monitoring module, the present invention is to the electric vehicle towards electric energy service platform
The quantity of included Coordination module, evaluation module and monitoring module is not limited in distributed regulator control system 100.
As shown in Figure 1, the electric vehicle distribution regulator control system 100 towards electric energy service platform includes Coordination module
110, evaluation module 120 and monitoring module 130, monitoring module 130 and each electric vehicle communicate to connect, this three be according to
The intelligent body modular structure that the hierarchical structure of EVCSO is designed is formed by system 100 and is suitable for each electronic of access power distribution network
Automobile is regulated and controled.Coordination module 110 both can centralized control evaluation module 120, the information that can also receive evaluation module 120 is anti-
Feedback, and evaluation module 120 is further controlled based on feedack.Equally, evaluation module 120 both can centralized control monitoring module
130, the information feedback of monitoring module 130 can be also received, and monitoring module 130 is further controlled based on feedack.
Meanwhile being distinguished according to voltage class, Coordination module 110 is controller switching equipment intelligent body, is located at high pressure/intermediate voltage generating station
Control layer, including regional ensemble system intelligent body (RAU agent, Regional Aggregation Unit agent), assessment
Module 120 is controller switching equipment intelligent body, is located at pressure/low-pressure electricity station control layer, including microgrid integrated system intelligent body (MGAU
Agent, Microgrid Aggregation Unit agent) and entire car controller swarm intelligence body (CVC agent,
Clusters of Vehicle Controllers agent), monitoring module 130 is electrical equipment intelligent body, with each electronic vapour
Entire car controller in vehicle is communicatively coupled, and is located at low-voltage customer end control layer, including entire car controller monomer intelligent body (VC
Agent, Vehicle Controller agent).
Specifically, according to one embodiment of present invention, Coordination module 110 is suitable for according to load prediction results and power distribution network
Characteristic generates power distribution network information, and power distribution network information is sent to evaluation module 120.Wherein, load prediction results are based on distribution
The historical load data of each grid node generates in net, and power distribution network characteristic includes each rack in distribution network structure structure and power distribution network
The maximum electric vehicle of node accesses quantity.In this embodiment, Coordination module 110 was further adapted for preset coordination week
Phase is divided, and to obtain corresponding multiple periods, to each grid node in power distribution network under each period, is gradually increased
Add the quantity for accessing electric vehicle in the grid node, and run by current trend based on distribution network structure structure, further according to this
The operation result of grid node, corresponding maximum electric vehicle access quantity and load prediction results, determine the grid node
The maximum permissible load of each grid node and corresponding electricity price level are associated by maximum permissible load, to form power distribution network
Information.
Coordination module 110 plays coordinator during entire control, and is supervised by DSO, in electric power network technique
Limitation is lower to distribute each node power of distribution.The information that Coordination module 110 is integrated includes distribution network structure structure, each grid node
The risk factors of historical load data, each node real-time load data and the charging of each node electric vehicle.In general, coordinating the period
It is preset as 1 day, forms 24 periods after division, correspond to 1~24 hour in 1 day respectively, Coordination module 110 is pre- according to load
Survey and distribution technology restriction, the load limits value of each node in each time cycle (day), i.e., each net are obtained by as above handling
The maximum permissible load of frame node.
Monitoring module 130 is suitable for collecting the charge characteristic information of its associated each electric vehicle and the charging behavior letter of user
Charge characteristic information and charging behavioural information are merged into charge information and report to evaluation module 120 by breath.According to the present invention one
A embodiment, charge characteristic information include that the practical state-of-charge of electric vehicle and electric vehicle it is expected state-of-charge, behavior of charging
Information includes electric vehicle charging duration.
Evaluation module 120 is suitable for receiving the power distribution network information issued by Coordination module 110 and is reported by monitoring module 130
Charge information, charge parameter is calculated according to power distribution network information and charge information and is issued to monitoring module 130.Monitoring module
130 are suitable for after receiving the charge parameter that evaluation module 130 issues, and charging priority list is generated based on the charge parameter,
To regulate and control corresponding electric vehicle according to charging priority list.According to one embodiment of present invention, charging priority list
In priority determined by following formula：
Wherein, min | | expression is minimized, and c indicates electric vehicle power purchase total price,For electric vehicle at node i to
Power grid purchase of electricity,For the average power purchase price at node i, m1And m2The respectively Base Serial Number and knot of power purchase process interior joint
Beam is numbered, QEVFor batteries of electric automobile rated capacity, PiIt is limited for load at node i, niFor the electric vehicle accessed at node i
Quantity, T are electric vehicle in peak, the sum of the charging time of low ebb peaceful period.
Under V2G (Vehicle-to-Grid, the interconnection of vehicle net) pattern, monitoring module 130 can obtain electric vehicle to power grid
The time-of-use tariffs information of sale of electricity responds time-of-use tariffs so that power consumer cost is minimum while meeting charge requirement, examines
Consider this case, deformation process can be carried out to formula (1), then according to still another embodiment of the invention, in charging priority list
Priority can also be determined by following formula：
Wherein, min | | expression is minimized,It is electric vehicle at node i to power grid purchase of electricity,For node i
The average power purchase price at place, m1And m2The respectively Base Serial Number and finish number of power purchase process interior joint,To be used at node k
Family to power grid electricity sales amount,For the sale of electricity price at node k, cBuFor the battery use cost for period of discharging, l1And l2It sells respectively
The Base Serial Number and finish number of electric process interior joint.
In this embodiment, discharge the battery use cost c of periodBuIt is determined with following formula：
Wherein, cBFor battery cost, r is discount rate, and l is service time of battery, and L is battery rated life time, CBHold for battery
Amount, EBFor battery efficiency.
Further, the charge parameter that monitoring module 130 is further adapted for issuing based on evaluation module 120 generates risk factors,
Risk factors are uploaded to evaluation module 120, to indicate that risk factors are uploaded to Coordination module 110 by evaluation module 120, so as to
Coordination module 110 carries out power distribution network regulation and control according to risk factors.According to one embodiment of present invention, risk factors pass through as follows
Formula determines：
Wherein, R indicates risk factors, SoCeUser it is expected charge volume, SoC when being unchargedaFor the practical carrying capacity of battery,
eBFor average cell efficiency, eCFor average charge efficiency, PCFor node charge power, HCFor electric vehicle charging hourage.When commenting
Estimate after risk factors are uploaded to Coordination module 110 by module 120, Coordination module 110 can carry out power distribution network according to the risk factors
Regulation and control, to coordinate entire control process.
For monitoring module 130, it is further adapted for charging priority list reporting to evaluation module 120, and assesses mould
Block 120 is further adapted for receiving the charging priority list that monitoring module 130 reports, and assesses charging priority list.It is right
In the assessment result of charging priority list, 120 one side of evaluation module can report to Coordination module 110, to coordinate mould
Block 110 adjusts control strategy based on the assessment result, on the other hand can also be handed down to monitoring module 130, instruction monitoring mould
Block 130 is adjusted in real time according to this assessment result, optimizes the ordering scenario of charging priority.
To verify the validity of the electric vehicle distribution regulator control system 100 towards electric energy service platform, now with certain cities and towns
It is researched and analysed for access electric vehicle scale in the year two thousand twenty Medial ＆ Low Voltage Power Network.With a 110/20kV in grid structure
(kilovolt) substation is core, which shares two 110/20kV high-tension transformers, transformer capacity be 63MVA (megavolt
Peace).Wherein, 6 20kV send feeder line outside, and it is negative that each feed line connects 20kV/380V (volt) low-tension transformer supply shopping centre concentration
Lotus and parking lot charging station separately have four radial supply lines to supply the 96 single-phase residents of family 220V.In simulating area mould
In type, it is assumed that commercial pursuit place concentrated load area is supplied by 3 low-tension transformers, and All other routes supply 60 electronic vapour of dispersion
Vehicle charging station is controlled in the charging electric automobile of commerce area by the CVC agent in evaluation module 120, in resident region
Disperse charging station, charging electric automobile is controlled by the MGAU agent in evaluation module 120.Further, it is assumed that electric vehicle is uniform
It is distributed on each node of power grid.
According to the object of planning, by 2015, China battery type pure electric automobile (BEV, Battery Electrical
Vehicle) and plug-in hybrid-power automobile (PHEV, Plug-in Hybrid Electric Vehicle) adds up volume of production and marketing
Be up to 500,000, arrive the year two thousand twenty, BEV and PHEV production capacity up to 2,000,000, accumulative volume of production and marketing be more than 5,000,000.Setting should
Town dweller region resident's number, the charging station number of commerce area and electric vehicle ownership are as shown in table 1.
Table 1
The region has two class electric vehicles to meet the needs of different clients, i.e., plug-in hybrid-power automobile (PH EV) and
The charger rated power of battery type pure electric automobile (BEV), PHEV is 2kW (kilowatt), and battery capacity is 9kWh (kilowatt hour),
The charging acc power of BEV is 5kW, battery capacity 35kWh.Electric vehicle parameter setting is as shown in table 2.
Table 2
Analog simulation is carried out using the cities and towns typical day load curve, load data is as shown in table 3 below.Based in table 3
Typical daily load data draw load curve, obtain Fig. 2.Fig. 2 shows typical day according to an embodiment of the invention is negative
The schematic diagram of lotus curve.As shown in Fig. 2, abscissa is time shaft, corresponding period, unit is h (hour), and ordinate is load number
Value, unit is MW (megawatt), is the load curve of the load curve of commercial power, residential electricity consumption respectively wherein share 3 curves
With total load curve, it is clear that total load curve is polymerized by the load curve of commercial power and residential electricity consumption.
Table 3
According to the daily load characteristic of this area by 18:00~23:00 period is set to the load peak period, by 23:00~
8:00 period is set to the load paddy period.Under V2G patterns, Utilities Electric Co. can be from electricity by the markets V2G in the load peak period
Electric energy is reversely bought in electrical automobile owner there, by formulating work of the rational electrovalence policy realization to Distribution Network Load Data peak load shifting
With, it is assumed that time-of-use tariffs policy is carried out in the region, and electricity price information is as shown in table 4.
Table 4
No electric vehicle is accessed respectively, electric vehicle it is blind fill and introduce multi-agent system (introduce towards electric energy take
The electric vehicle distribution regulator control system 100 of business platform) the progress Multi-Agent simulation experiment of these three situations, it is corresponding to obtain
Load curve.Fig. 3 shows the comparison diagram of the load curve under three kinds of different situations according to an embodiment of the invention.Such as
Shown in Fig. 3, abscissa is time shaft, the corresponding period, and unit is h (hour), and ordinate is load value, and unit is MW (million
Watt), wherein share 3 curves, be respectively the load curve of no electric vehicle access, the blind load curve filled of electric vehicle and
Introduce the load curve of multi-agent system.
For residence area, the situation of no electric vehicle access, load boom period appears in the dusk 18:After 00,
After considering that electric vehicle accesses, it is assumed that 50% electric vehicle ownership level accesses power grid, blind to fill load peak under situation
Period does not change, and introduces multi-agent system afterload peak period from 21:00 becomes 23:00.It is blind fill situation under,
Similar with the situation that no electric vehicle accesses, load curve has apparent load peak and low ebb, and peak period load exceeds
The situation of no electric vehicle access, this shows that user can charge according to itself life living habit, from 18:00 starts, system
Rapidly there is charging peak, this will cause system the pressure of bigger.In the case where introducing multi-agent system charged condition, although
Electric vehicle access power grid increases system loading, but by the coordination control between intelligent body so that the peak load of system is not aobvious
It writes and increases, and respond time-of-use tariffs policy, moved after the load peak period, paddy period load increases, and system loading curve tends to be flat
It is slow, reduce peak-valley difference.Therefore, the electric vehicle distribution tune towards electric energy service platform as multi-agent system is introduced
The coordination charge control of control system 100 is a kind of effective means of electric vehicle demand side management.
Multi-agent system method is for incomplete, uncertain information is adaptable and autgmentability, while energy
Enough reach reduction peak load.Compared with the optimal quadratic programming scheduling in the quadratic programming dispatching method based on central scheduler,
Efficiency can reach 95%, and quadratic programming dispatching method is superior at three optimality, adaptability and scalability aspects.
In addition, using multi-agent system as research means, the electric vehicle demand side management scheme of proposition can reduce electricity
Electrical automobile is to the issuable negative effect of network load.For the multiple agent body of electric vehicle charging operation system design
System, is included in multi-Agent coordination range by the time-of-use tariffs policy under V2G patterns, realizes the distribution to charge to electric vehicle
Control, result of study show that the electric vehicle charging scheme based on multi-agent system can optimize the charging row of electric vehicle
To significantly reduce system loading peak-valley difference, playing the role of peak load shifting.While optimizing distribution network operation, it can reduce
The grid electricity fee cost of charge user.
Fig. 4 shows the electric vehicle distribution regulation and control according to an embodiment of the invention towards electric energy service platform
The flow chart of method 400.Electric vehicle distribution regulation and control method 400 towards electric energy service platform is suitable for taking towards electric energy
Electric vehicle distribution regulator control system (the electric vehicle distribution tune towards electric energy service platform as shown in Figure 1 of business platform
Control system 100) in execute, system 100 be suitable for access power distribution network each electric vehicle regulate and control, including Coordination module 110,
Evaluation module 120 and monitoring module 130, monitoring module 130 are communicated to connect with each electric vehicle.
Method 400 starts from step S410, and in step S410, Coordination module 110 is according to load prediction results and power distribution network
Characteristic generates power distribution network information, and the power distribution network information is sent to evaluation module 120.Wherein, load prediction results are based on
The historical load data of each grid node generates in power distribution network, and the power distribution network characteristic includes distribution network structure structure and power distribution network
In each grid node maximum electric vehicle access quantity.According to one embodiment of present invention, it can utilize in the following way
Coordination module 110 generates power distribution network information according to load prediction results and power distribution network characteristic.First, Coordination module 110 will be preset
The coordination period divided, to obtain corresponding multiple periods, to each rack section in power distribution network under each period
Point is stepped up the quantity for accessing electric vehicle in the grid node, and is run by current trend based on distribution network structure structure,
Further according to the operation result of the grid node, corresponding maximum electric vehicle access quantity and load prediction results, the net is determined
The maximum permissible load of each grid node and corresponding electricity price level are associated, with shape by the maximum permissible load of frame node
At power distribution network information.
Then, S420 is entered step, monitoring module 130 collects the charge characteristic information and use of its associated each electric vehicle
The charge characteristic information and charging behavioural information are merged into charge information and report to evaluation module by the charging behavioural information at family
120.According to one embodiment of present invention, the charge characteristic information includes the practical state-of-charge of electric vehicle and electric vehicle
It is expected that state-of-charge, the charging behavior information includes electric vehicle charging duration.
Next, in step S430, evaluation module 120 receive the power distribution network information issued by Coordination module 110 and by
The charge information that monitoring module 130 reports calculates charge parameter according to the power distribution network information and charge information and is issued to prison
Control module 130.
Finally, step S440 is executed, monitoring module 130 is filled based on the charge parameter generation that the evaluation module 120 issues
Electric priority list, to regulate and control corresponding electric vehicle according to the charging priority list.An implementation according to the present invention
Example, the priority in the charging priority list are determined by following formula：
Wherein, min | | expression is minimized, and c indicates electric vehicle power purchase total price,For electric vehicle at node i to
Power grid purchase of electricity,For the average power purchase price at node i, m1And m2The respectively Base Serial Number and knot of power purchase process interior joint
Beam is numbered, QEVFor batteries of electric automobile rated capacity, PiIt is limited for load at node i, niFor the electric vehicle accessed at node i
Quantity, T are electric vehicle in peak, the sum of the charging time of low ebb peaceful period.
Under V2G (Vehicle-to-Grid, the interconnection of vehicle net) pattern, monitoring module 130 can obtain electric vehicle to power grid
The time-of-use tariffs information of sale of electricity responds time-of-use tariffs so that power consumer cost is minimum, then while meeting charge requirement
According to still another embodiment of the invention, the priority in charging priority list can also be determined by following formula：
Wherein, min | | expression is minimized,It is electric vehicle at node i to power grid purchase of electricity,For node i
The average power purchase price at place, m1And m2The respectively Base Serial Number and finish number of power purchase process interior joint,To be used at node k
Family to power grid electricity sales amount,For the sale of electricity price at node k, cBuFor the battery use cost for period of discharging, l1And l2It sells respectively
The Base Serial Number and finish number of electric process interior joint.
In this embodiment, discharge the battery use cost c of periodBuIt is determined with following formula：
Wherein, cBFor battery cost, r is discount rate, and l is service time of battery, and L is battery rated life time, CBHold for battery
Amount, EBFor battery efficiency.
Further, according to still another embodiment of the invention, in method 200, monitoring module 130 is receiving assessment
After the charge parameter issued, it can also be based on the charge parameter and generate risk factors, the risk factors are uploaded to the assessment
Module 120, to indicate that the risk factors are uploaded to Coordination module 110 by the evaluation module 120, so as to the Coordination module
110 carry out power distribution network regulation and control according to the risk factors.In this embodiment, risk factors are determined by following formula：
Wherein, R indicates risk factors, SoCeUser it is expected charge volume, SoC when being unchargedaFor the practical carrying capacity of battery,
eBFor average cell efficiency, eCFor average charge efficiency, PCFor node charge power, HCFor electric vehicle charging hourage.When commenting
Estimate after risk factors are uploaded to Coordination module 110 by module 120, Coordination module 110 can carry out power distribution network according to the risk factors
Regulation and control, to coordinate entire control process.
In addition, according to still another embodiment of the invention, charging priority list can also be reported to and be commented by monitoring module 130
Estimate module 120, and evaluation module 120 receives the charging priority list that monitoring module 130 reports, and the charging priority is arranged
Table is assessed.For the assessment result of charging priority list, 120 one side of evaluation module can report to Coordination module
110, so that Coordination module 110 adjusts control strategy based on the assessment result, monitoring module on the other hand can also be handed down to
130, instruction monitoring module 130 is adjusted in real time according to this assessment result, optimizes the ordering scenario of charging priority.
Existing electric vehicle regulation and control method is carried out to charging load using the statistical data of electric vehicle charging behavior
Probability simulation, the influence of assessment electric vehicle access distribution, and then realize charging station planning and electric vehicle management of charging and discharging, but
Since electric vehicle charging load has time and spatial location laws, when using the above method, electric vehicle in regulation process
Charging may be uncontrolled, leads to system overload, power attenuation and voltage fluctuation.It is according to the ... of the embodiment of the present invention towards
The technical solution of the electric vehicle distribution regulation and control of electric energy service platform first passes through Coordination module and generates power distribution network information and send
To evaluation module, monitoring module is reported to evaluation module after forming charge information, evaluation module according to power distribution network information and
Charge information calculates charge parameter and is issued to monitoring module, and monitoring module is based on the charge parameter and generates charging priority row
Table, to regulate and control corresponding electric vehicle according to the charging priority list.In the above scheme, by each distribution in distribution network system
Equipment and electrical equipment form the intelligent module being mutually linked, that is, assist according to the regular hierarchical design of coordination control of intelligent body
Mode transfer block, evaluation module and monitoring module, and then establish out an intelligent volume grid.For each intelligent module, mould
Intend the communication and coordination between the intellectualized module and its local environment and other intelligent modules, for incomplete, no
Predictable information is adaptable and autgmentability, and reducing power distribution network, largely to access the peak load after electric vehicle poor, realizes
To the automation distributed AC servo system of electric vehicle charging, it is obviously improved the level of electric vehicle demand side management, has been expected to as electricity
The practical regulation and control work of electrical automobile provides technical support.
A10. the system as described in any one of A1-9, wherein：
Monitoring module is further adapted for the charging priority list reporting to the evaluation module；
Evaluation module is further adapted for receiving the charging priority list that the monitoring module reports, and preferential to the charging
Grade list is assessed.
B12. the method as described in B11, wherein history of the load prediction results based on each grid node in power distribution network
Load data generates, and the power distribution network characteristic includes the electronic vapour of maximum of each grid node in distribution network structure structure and power distribution network
Vehicle accesses quantity.
B13. the method as described in B12, the Coordination module generate distribution according to load prediction results and power distribution network characteristic
The step of net information includes：
Coordination module divides the preset coordination period, to obtain corresponding multiple periods；
To each grid node in power distribution network under each period, it is stepped up in the grid node and accesses electric vehicle
Quantity, and based on distribution network structure structure by current trend operation；
According to the operation result of the grid node, corresponding maximum electric vehicle access quantity and load prediction results, really
The maximum permissible load of the fixed grid node；
The maximum permissible load of each grid node and corresponding electricity price level are associated, to form power distribution network information.
B14. the method as described in any one of B11-13, wherein the charge characteristic information includes electric vehicle reality
State-of-charge and electric vehicle it is expected that state-of-charge, the charging behavior information include electric vehicle charging duration.
B15. the method as described in any one of B11-14, the priority in the charging priority list pass through following public
Formula determines：
Wherein, min | | expression is minimized, and c indicates electric vehicle power purchase total price,For electric vehicle at node i to
Power grid purchase of electricity,For the average power purchase price at node i, m1And m2The respectively Base Serial Number and knot of power purchase process interior joint
Beam is numbered, QEVFor batteries of electric automobile rated capacity, PiIt is limited for load at node i, niFor the electric vehicle accessed at node i
Quantity, T are electric vehicle in peak, the sum of the charging time of low ebb peaceful period.
B16. the method as described in any one of B11-15, the priority in the charging priority list is also by as follows
Formula determines：
Wherein, min | | expression is minimized,It is electric vehicle at node i to power grid purchase of electricity,For node i
The average power purchase price at place, m1And m2The respectively Base Serial Number and finish number of power purchase process interior joint,To be used at node k
Family to power grid electricity sales amount,For the sale of electricity price at node k, cBuFor the battery use cost for period of discharging, l1And l2It sells respectively
The Base Serial Number and finish number of electric process interior joint.
B17. the method as described in B16, wherein the battery use cost c for period of dischargingBuIt is determined with following formula：
Wherein, cBFor battery cost, r is discount rate, and l is service time of battery, and L is battery rated life time, CBHold for battery
Amount, EBFor battery efficiency.
B18. the method as described in any one of B11-17 further includes：
Monitoring module generates risk factors based on the charge parameter that the evaluation module issues, and the risk factors are uploaded
To the evaluation module, to indicate that the risk factors are uploaded to Coordination module by the evaluation module, so as to the coordination mould
Root tuber carries out power distribution network regulation and control according to the risk factors.
B19. the method as described in B18, the risk factors are determined by following formula：
Wherein, R indicates risk factors, SoCeUser it is expected charge volume, SoC when being unchargedaFor the practical carrying capacity of battery,
eBFor average cell efficiency, eCFor average charge efficiency, PCFor node charge power, HCFor electric vehicle charging hourage
B20. the method as described in any one of B11-19 further includes：
The charging priority list is reported to the evaluation module by monitoring module；
Evaluation module receives the charging priority list that the monitoring module reports, and to the charging priority list into
Row assessment.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice without these specific details.In some instances, well known method, knot is not been shown in detail
Structure and technology, so as not to obscure the understanding of this description.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect
Shield the present invention claims the feature more features than being expressly recited in each claim.More precisely, as following
As claims reflect, inventive aspect is all features less than single embodiment disclosed above.Therefore, it abides by
Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself
As a separate embodiment of the present invention.
Those skilled in the art should understand that the module of the equipment in example disclosed herein or unit or groups
Between can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned at and the equipment in the example
In different one or more equipment.Module in aforementioned exemplary can be combined into a module or be segmented into addition multiple
Submodule.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment
Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment
Member or group between be combined into one between module or unit or group, and can be divided into addition multiple submodule or subelement or
Between subgroup.Other than such feature and/or at least some of process or unit exclude each other, it may be used any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
One of meaning mode can use in any combination.
In addition, be described as herein can be by the processor of computer system or by executing for some in the embodiment
The combination of method or method element that other devices of the function are implemented.Therefore, have for implementing the method or method
The processor of the necessary instruction of element forms the device for implementing this method or method element.In addition, device embodiment
Element described in this is the example of following device：The device is used to implement performed by the element by the purpose in order to implement the invention
Function.
Various technologies described herein are realized together in combination with hardware or software or combination thereof.To the present invention
Method and apparatus or the process and apparatus of the present invention some aspects or part can take embedded tangible media, such as it is soft
The form of program code (instructing) in disk, CD-ROM, hard disk drive or other arbitrary machine readable storage mediums,
Wherein when program is loaded into the machine of such as computer etc, and is executed by the machine, the machine becomes to put into practice this hair
Bright equipment.
In the case where program code executes on programmable computers, computing device generally comprises processor, processor
Readable storage medium (including volatile and non-volatile memory and or memory element), at least one input unit, and extremely
A few output device.Wherein, memory is configured for storage program code；Processor is configured for according to the memory
Instruction in the said program code of middle storage executes the electric vehicle distribution regulation and control towards electric energy service platform of the present invention
Method.
By way of example and not limitation, computer-readable medium includes computer storage media and communication media.It calculates
Machine readable medium includes computer storage media and communication media.Computer storage media storage such as computer-readable instruction,
The information such as data structure, program module or other data.Communication media is generally modulated with carrier wave or other transmission mechanisms etc.
Data-signal processed embodies computer-readable instruction, data structure, program module or other data, and includes that any information passes
Pass medium.Above any combination is also included within the scope of computer-readable medium.
As used in this, unless specifically stated, come using ordinal number " first ", " second ", " third " etc.
Description plain objects are merely representative of the different instances for being related to similar object, and are not intended to imply that the object being described in this way must
Must have the time it is upper, spatially, in terms of sequence or given sequence in any other manner.
Although the embodiment according to limited quantity describes the present invention, above description, the art are benefited from
It is interior it is clear for the skilled person that in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that
The language that is used in this specification primarily to readable and introduction purpose and select, rather than in order to explain or limit
Determine subject of the present invention and selects.Therefore, without departing from the scope and spirit of the appended claims, for this
Many modifications and changes will be apparent from for the those of ordinary skill of technical field.For the scope of the present invention, to this
The done disclosure of invention is illustrative and not restrictive, and it is intended that the scope of the present invention be defined by the claims appended hereto.
Claims (10)
1. a kind of electric vehicle distribution regulator control system towards electric energy service platform is suitable for each electronic vapour to accessing power distribution network
Vehicle is regulated and controled, and the system comprises Coordination module, evaluation module and monitoring module, the monitoring module is logical with each electric vehicle
Letter connection, wherein：
Coordination module is suitable for generating power distribution network information according to load prediction results and power distribution network characteristic, and the power distribution network is believed
Breath is sent to evaluation module；
Evaluation module, suitable for receiving the power distribution network information issued by Coordination module and the charge information reported by monitoring module, root
Charge parameter is calculated according to the power distribution network information and charge information and is issued to monitoring module；
Monitoring module is suitable for collecting the charging behavioural information of the charge characteristic information and user of its associated each electric vehicle, will
The charge characteristic information and charging behavioural information merge into charge information and report to evaluation module, and are based on the evaluation module
The charge parameter issued generates charging priority list, to regulate and control corresponding electric vehicle according to the charging priority list.
2. the system as claimed in claim 1, wherein history of the load prediction results based on each grid node in power distribution network
Load data generates, and the power distribution network characteristic includes the electronic vapour of maximum of each grid node in distribution network structure structure and power distribution network
Vehicle accesses quantity.
3. system as claimed in claim 2, wherein the Coordination module is further adapted for：
The preset coordination period is divided, to obtain corresponding multiple periods；
To each grid node in power distribution network under each period, it is stepped up the number that electric vehicle is accessed in the grid node
Amount, and run by current trend based on distribution network structure structure；
According to the operation result of the grid node, corresponding maximum electric vehicle access quantity and load prediction results, determining should
The maximum permissible load of grid node；
The maximum permissible load of each grid node and corresponding electricity price level are associated, to form power distribution network information.
4. system as claimed in any one of claims 1-3, wherein the charge characteristic information includes the practical lotus of electric vehicle
Electricity condition and electric vehicle it is expected that state-of-charge, the charging behavior information include electric vehicle charging duration.
5. the system as described in any one of claim 1-4, the priority in the charging priority list passes through following public
Formula determines：
Wherein, min | | expression is minimized, and c indicates electric vehicle power purchase total price,It is electric vehicle at node i to power grid
Purchase of electricity,For the average power purchase price at node i, m1And m2The respectively Base Serial Number of power purchase process interior joint and end is compiled
Number, QEVFor batteries of electric automobile rated capacity, PiIt is limited for load at node i, niFor the electric vehicle number accessed at node i
Amount, T are electric vehicle in peak, the sum of the charging time of low ebb peaceful period.
6. the system as described in any one of claim 1-5, the priority in the charging priority list is also by as follows
Formula determines：
Wherein, min | | expression is minimized,It is electric vehicle at node i to power grid purchase of electricity,It is flat at node i
Equal power purchase price, m1And m2The respectively Base Serial Number and finish number of power purchase process interior joint,It is user at node k to electricity
Net electricity sales amount,For the sale of electricity price at node k, cBuFor the battery use cost for period of discharging, l1And l2Sale of electricity process respectively
The Base Serial Number and finish number of interior joint.
7. system as claimed in claim 6, wherein the battery use cost c for period of dischargingBuIt is determined with following formula：
Wherein, cBFor battery cost, r is discount rate, and l is service time of battery, and L is battery rated life time, CBFor battery capacity,
EBFor battery efficiency.
8. the system as described in any one of claim 1-7, wherein the monitoring module is further adapted for：
Risk factors are generated based on the charge parameter that the evaluation module issues；
The risk factors are uploaded to the evaluation module, to indicate that the risk factors are uploaded to association by the evaluation module
Mode transfer block, so that the Coordination module carries out power distribution network regulation and control according to the risk factors.
9. system as claimed in claim 8, the risk factors are determined by following formula：
Wherein, R indicates risk factors, SoCeUser it is expected charge volume, SoC when being unchargedaFor the practical carrying capacity of battery, eBFor
Average cell efficiency, eCFor average charge efficiency, PCFor node charge power, HCFor electric vehicle charging hourage.
10. a kind of electric vehicle distribution towards electric energy service platform regulates and controls method, it is suitable for towards electric energy service platform
It is executed in electric vehicle distribution regulator control system, the system is suitable for regulating and controlling each electric vehicle for accessing power distribution network, wraps
Coordination module, evaluation module and monitoring module are included, the monitoring module is communicated to connect with each electric vehicle, the method includes：
Coordination module generates power distribution network information according to load prediction results and power distribution network characteristic, and the power distribution network information is sent
To evaluation module；
Monitoring module collects the charge characteristic information of its associated each electric vehicle and the charging behavioural information of user, is filled described
Electrical characteristics information and charging behavioural information merge into charge information and report to evaluation module；
Evaluation module receives the power distribution network information issued by Coordination module and the charge information reported by monitoring module, according to described
Power distribution network information and charge information calculate charge parameter and are issued to monitoring module；
Monitoring module generates charging priority list based on the charge parameter that the evaluation module issues, with excellent according to the charging
First grade list regulates and controls corresponding electric vehicle.
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