CN106849109B - A kind of urban distribution network load control method for the access of scale charging pile - Google Patents

A kind of urban distribution network load control method for the access of scale charging pile Download PDF

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Publication number
CN106849109B
CN106849109B CN201710152681.7A CN201710152681A CN106849109B CN 106849109 B CN106849109 B CN 106849109B CN 201710152681 A CN201710152681 A CN 201710152681A CN 106849109 B CN106849109 B CN 106849109B
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load
distribution
charging pile
charging
access
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CN106849109A (en
Inventor
王博
孙海霞
张志福
许其楼
曹海猛
卢笛
庄海龙
谷林
杨能武
王红星
金鑫
王华雷
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Lianyungang Power Supply Co Of State Grid Jingsu Electric Power Company
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Lianyungang Power Supply Co Of State Grid Jingsu Electric Power Company
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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
    • 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/64—Optimising energy costs, e.g. responding to electricity rates
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • 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
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • 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
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • 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
    • Y02T90/12—Electric charging stations
    • 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
    • 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
    • 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
    • Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention belongs to new energy power grid regulation technical field more particularly to a kind of urban distribution network load control methods for the access of scale charging pile, comprising: acquire and analyze the maximum value S of the previous day daily load curveymaxWith minimum value Symin；The true load value S of real-time monitoring power distribution networkr；By SrWith SymaxAnd STIt is compared to decide whether that scale charging pile is allowed to access distribution；Subsequent time Distribution Network Load Data amount is predicted by analysis load curve degree of fluctuation；The true load value of the distribution acquired in real time is compared with the Distribution Network Load Data amount obtained by formula predictions, if error less than 5%, continues using formula predictions subsequent time Distribution Network Load Data value；If error is greater than 5%, proxima luce (prox. luc) daily load curve is corrected according to the true load value of distribution of moment acquisition.The program can realize the internet realtime telecommunication of user, charging terminal and central control system, to effectively cut down the load imbalance problem for influencing distribution safe and stable operation.

Description

A kind of urban distribution network load control method for the access of scale charging pile
Technical field
The invention belongs to new energy power grid regulation technical field more particularly to a kind of cities for the access of scale charging pile City's Distribution Network Load Data regulates and controls method.
Background technique
Zero-emission or extremely low discharge can be realized using electric car in urban transportation, are even allowed for and are given these electronic vapour The discharge in vehicle charging power plant, still can significantly reduce PM2.5 air pollution.Suit the energy development of the following whole world " two substitutions " Pattern, electric car with its cleaning, efficiently and the advantage of sustainable development, cause urban transportation and energy field and change that become must So.
However, electric car charges in use the randomness of " space-time ", to network load trend distribution can not Control property and user result in current electric car dispersion electrically-charging equipment to the various of distribution to the non-selectivity of charging pile (station) Charging cost height, less economical application status in adverse effect and user itself use process, this seriously inhibits electronic vapour The universal and development of vehicle.In addition, the unordered charging of electric car will bring serious bear to power system security, economical operation Face is rung.Although guidance user is charged using the low ebb time using Peak-valley TOU power price, there is certain effect to peak load shifting, Coordinate charging or intelligent charge, is only one of the most effective measure for solving to coordinate this series of problems.But in actual operation, If the electric car that scheduling institution directly accesses every carries out United Dispatching, it will it is in large scale due to electric car, The problems such as dimension increases sharply, and is limited by convergence difficulties.In this regard, the method exhibition that experts and scholars pass through charging load prediction both at home and abroad The correlative study in relation to orderly charging strategy is opened, but guided bone is not strong in actual use, this is because ignoring user Demand causes.
Summary of the invention
The present invention in response to this problem, courageously using industrial 4.0 design concepts, proposes to combine the mobile Internet communication technology will Regional power grid structure, electrically-charging equipment distribution service condition and user demand three combine closely, comprehensive three's current state And demand information concentration is sent in intelligence and controls platform and carry out data analytical calculation, and will analysis result respectively Real-time Feedback to holding The load control method of row object.
The present invention specifically includes:
Step 1, the maximum value S for acquiring and analyzing the previous day daily load curveymaxWith minimum value Symin；
The true load value S of step 2, real-time monitoring power distribution networkr；
If step 3, Sr>SymaxAnd Sr>0.9ST, then scale charging pile is not allowed to access distribution, STAllow to connect for distribution Enter maximum capacity；
If step 4, Sr>SymaxAnd Sr≤0.9ST, then allow charging pile access but access capacity be 0.9ST-Sr；
If step 5, Sr≤SymaxAnd Sr>0.9ST, then scale charging pile is not allowed to access distribution；
If step 6, Sr<Symin, then allow the access distribution of scale charging pile and the load value of record at this time；
Step 7 passes through formula (Sy1-Sy2)/Sy2< 0.1% analysis load curve degree of fluctuation, wherein Sy1、Sy2It is adjacent The line load amount at two moment；If load curve is in gentle section, formula Sy1=15t+7 predicts that subsequent time is matched Net load；If load curve, which goes out, is fluctuating biggish section, formula Sy2=20cos314t+3 predicts subsequent time The load of distribution, t are the moment；
Step 8 compares the true load value of the distribution acquired in real time with the Distribution Network Load Data amount obtained by formula predictions, if Error then continues less than 5% using formula predictions subsequent time Distribution Network Load Data value；If error is greater than 5%, adopted according to the moment The distribution of collection true load value corrects proxima luce (prox. luc) daily load curve.
The step 1 passes through Lagrange's interpolationThe previous day daily load curve fitted Sy, in formula, ykFor different moments corresponding distribution load value, intermediate variableT is the time.
The method is based on controlling platform, charging pile in intelligence, system composed by user APP is realized.
Charging of the platform according to the urban passenger flow information monitored daily, to each Regional Dispersion charging pile is controlled in the intelligence Peak period is tentatively prejudged, and is played correct guidance to user APP in conjunction with Distributing network structure and trend distribution directly release information and is made With；After scale charge user access power grid is charged, control platform can integrate the use that each charging pile uploads again in intelligence Family information butt joint enters each charging pile of the whole network and distribution filter carries out secondary coordination.
The charging pile can be read the completed cell information for being connected to the charging pile electric car, including battery brand and surplus Remaining electricity reports above- mentioned information after controlling platform in intelligence；System can consult backstage registered database automatically and obtain the battery Material, the date of production, and further the depreciation degree of battery, estimated charge completion time just sentence, final words generate most Excellent charging curve issues charging pile with command forms.
Controlled in the intelligence platform can comprehensive collection to route on the information on load that all charges carry out the association of each charging pile Adjust charging.
The power quality information that platform collects up according to various regions is controlled in the intelligence, and it is each can remotely to issue instructions coordinate Charging station charger quantity, effectively inhibition harmonic pollution problems.
The charging pile cuts off charge power supply after charging automatically, prevents two caused by battery powers on for a long time Secondary damage.
The beneficial effects of the present invention are:
1) present invention effectively realizes middle control platform using " internet+" technology well and user holds APP terminal Real time communication, so that the demand side management of automobile user is fulfilled, such user can propose higher want to middle control platform It asks, to meet the dual indexes of optimal charging, economic charging.
2) internet realtime telecommunication of user, charging terminal and central control system can be achieved in the present invention, to effectively cut down shadow Ring the load imbalance problem of distribution safe and stable operation.
3) the middle control platform in the present invention can be on the basis of B2C mode (Business to Customer), according to user The charging time limit requires, and comprehensive tou power price factor adjusts the implementation of user's charging process three times, completes B2C mode to C2B mode User " private customized " demand is finally realized in (Customer to Business) transformation.
Detailed description of the invention
Fig. 1 is load control method flow diagram.
Fig. 2 is city charging system block diagram.
Fig. 3 is the expected preliminary control effect of urban power distribution network load.
Specific embodiment
With reference to the accompanying drawing, it elaborates to embodiment.
As shown in Figure 3, before being re-introduced into load control strategy, the load curve in city as shown on the solid line in figure 3, is being introduced Platform is controlled after regulating strategy as shown in Fig. 1, in intelligence on the one hand passes through internet and charging pile (station) progress data exchange, As shown in Fig. 2, learning the spare capacity of current power distribution network and the power demand of each charging station, and pass through EMS energy managing and control system Analysis obtains the trend distribution of current electric grid, in conjunction with the remaining threshold value of user demand and each route to the whole network distribution electrically-charging equipment Carry out concentration regulation；On the other hand, information publication is carried out using satellite communication mode between console and user, user can voluntarily look into The service condition of current each charging pile (station) is read, it is abundant that console can also direct the user to electric energy by adjusting region electricity price Period or idle charging pile (stand) region charging, shift partial electric grid peak load, alleviate night load gather problem.With Middle control platform can integrate battery after the instruction of family input pick-up time and line load information carrys out the intelligent coordination control electronic vapour The charging opportunity of vehicle battery and charging current, make full line each charge electrical automobile charging curve it is optimal while Total current still non-overloading within the specified scope.
Using after above-mentioned regulating strategy, the information that user will be issued by APP, from the night charging of region 1. adjust to The charging in the daytime of region 3.；The whole network charging pile (station) will also carry out secondary coordinated control and make time first half of the night 21:00-01:00 Duan Jiju type charging loaded portion is transferred to region and 2. charges.With reference to the accompanying drawings shown in the dotted line in 3, load control is being introduced After strategy, night load peak value is reduced to 3600MW from up to 4400MW, and load value in the daytime rises to from minimum 2300MW 2700MW, it was confirmed that regulating strategy realizes the effect of " peak load shifting ".
This embodiment is merely preferred embodiments of the present invention, but scope of protection of the present invention is not limited thereto, In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art, It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims Subject to.

Claims (7)

1. a kind of urban distribution network load control method for the access of scale charging pile characterized by comprising
Step 1, the maximum value S for acquiring and analyzing the previous day daily load curveymaxWith minimum value Symin；
The true load value S of step 2, real-time monitoring power distribution networkr；
If step 3, Sr>SymaxAnd Sr>0.9ST, then scale charging pile is not allowed to access distribution, STAllow to access most for distribution Large capacity；
If step 4, Sr>SymaxAnd Sr≤0.9ST, then allow charging pile access but access capacity be 0.9ST-Sr；
If step 5, Sr≤SymaxAnd Sr>0.9ST, then scale charging pile is not allowed to access distribution；
If step 6, Sr<Symin, then allow the access distribution of scale charging pile and the load value of record at this time；
Step 7 passes through formula (Sy1-Sy2)/Sy2< 0.1% analysis load curve degree of fluctuation, wherein Sy1、Sy2It is two neighboring The line load amount at moment；If load curve is in gentle section, formula Sy1=15t+7 is negative to predict subsequent time distribution Lotus amount；If load curve, which goes out, is fluctuating biggish section, formula Sy2=20cos314t+3 predicts subsequent time distribution Load, t is the moment；
Step 8 compares the true load value of the distribution acquired in real time with the Distribution Network Load Data amount obtained by formula predictions, if error Less than 5%, then continue using formula predictions subsequent time Distribution Network Load Data value；If error is greater than 5%, according to moment acquisition Distribution true load value corrects proxima luce (prox. luc) daily load curve；
The step 1 passes through Lagrange's interpolationThe previous day daily load curve S fittedy, formula In, ykFor different moments corresponding distribution load value, intermediate variable
2. method according to claim 1, which is characterized in that the method is based on controlling platform, charging pile, user in intelligence System composed by APP is realized.
3. method according to claim 2, which is characterized in that control platform in the intelligence according to the city visitor monitored daily Stream information tentatively prejudges the charging peak period of each Regional Dispersion charging pile, is distributed in conjunction with Distributing network structure and trend straight Release information is connect to user APP correct guiding function；After scale charge user access power grid is charged, controlled in intelligence Platform can integrate the user information that each charging pile uploads again and carry out two to each charging pile and distribution filter of access the whole network Secondary coordination.
4. method according to claim 2, which is characterized in that the charging pile, which can be read, is connected to the charging pile electric car Completed cell information, including battery brand and remaining capacity report above- mentioned information after controlling platform in intelligence；System can be automatic It consults backstage registered database and obtains the material of the battery, the date of production, and further to the depreciation degree of battery, estimated charging Deadline just sentence, and ultimately generates optimal charging curve with command forms and issues charging pile.
5. method according to claim 2, which is characterized in that controlled in the intelligence platform can comprehensive collection to route on it is complete Portion's charging information on load carries out the coordination charging of each charging pile.
6. method according to claim 2, which is characterized in that control the electric energy that platform collects up according to various regions in the intelligence Quality information can remotely issue each charging station charger quantity of instructions coordinate, effectively inhibition harmonic pollution problems.
7. method according to claim 2, which is characterized in that excision charging is electric automatically after charging for the charging pile Source prevents secondary damage caused by battery powers on for a long time.
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CN108099641B (en) * 2017-11-27 2021-05-07 国网北京市电力公司 Energy control method and device for charging station
CN110395138A (en) * 2018-04-25 2019-11-01 中能绿驰成都汽车科技有限公司 A kind of pure electric automobile AC charging intelligence control system and control method
CN108717600B (en) * 2018-05-04 2021-06-08 国网河北省电力有限公司 Load transfer method of electric energy service platform and computing equipment
CN109508830B (en) * 2018-11-15 2022-09-02 云南电网有限责任公司 Method for predicting space-time dynamic load of electric automobile
CN109591650B (en) * 2018-11-20 2021-04-13 恒大智慧充电科技有限公司 Dynamic regulation and control method for charging power, computer equipment and storage medium
CN111452649A (en) * 2020-03-30 2020-07-28 国电南瑞科技股份有限公司 Public charging pile management method based on platform area load monitoring and prediction
CN112134272A (en) * 2020-07-31 2020-12-25 国网河北省电力有限公司 Distribution network electric automobile load regulation and control method
CN112565420A (en) * 2020-12-07 2021-03-26 赣州天目领航科技有限公司 Intelligent charging system utilizing Internet of things big data and working method thereof
CN113561834B (en) * 2021-08-13 2023-06-09 科大数字(上海)能源科技有限公司 Ordered charging management method and system for charging piles
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