CN105356563A - Interactive control method for charging process of electric vehicle - Google Patents
Interactive control method for charging process of electric vehicle Download PDFInfo
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- CN105356563A CN105356563A CN201510856913.8A CN201510856913A CN105356563A CN 105356563 A CN105356563 A CN 105356563A CN 201510856913 A CN201510856913 A CN 201510856913A CN 105356563 A CN105356563 A CN 105356563A
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/02—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from ac mains by converters
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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
- 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
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- 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
- Y02T90/14—Plug-in electric vehicles
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention relates to an interactive control method for a charging process of an electric vehicle. The method comprises a step of optimizing the charging process using an electric vehicle user as a main body and a step of performing interactive control optimization on the charging process using a distribution network operator and the electric vehicle user as main bodies; optimizing the charging process using an electric vehicle user as a main body comprises: proposing a charging scheme based on the electric vehicle user; performing interactive control optimization on the charging process using a distribution network operator and the electric vehicle user as main bodies comprises: judging the security of a grid during charging according to the charging scheme based on the user; if the security of the grid does not meet the requirement, proposing an eclectic charging scheme for balancing the user of the electric vehicle and the security of the grid, judging the feasibility of the eclectic charging scheme, thus obtaining a scheme of connecting the electric vehicle to the grid. The method can provide important technical means for distribution network load management, significantly improve the running efficiency of a distribution network and ensure secure and stable operation of the grid.
Description
Technical field
The invention belongs to intelligent grid field, be specifically related to a kind of charging electric vehicle process interface control method.
Background technology
Electric automobile (ElectricVehicle, be called for short EV), refer to and provide power source by rechargeable battery (as lead-acid battery, nickel-cadmium cell, Ni-MH battery or lithium ion battery), drive wheels travel with motor, meet the vehicle automobile of road traffic, safety regulations requirements.Electric automobile has huge potentiality in minimizing environmental pollution and greenhouse gas emission, therefore its recoverable amount was increasing in recent years fast.Can estimate, large-scale charging electric vehicle brings very important impact by giving power system planning, operation and scheduling controlling, and great challenge is formed to the safe and stable operation of electrical network, main impact includes but not limited to: extensive electric automobile access grid charging will bring the load growth of a new round, and this will certainly increase the power load peak-valley difference of electrical network; Meanwhile, the adverse effect such as distribution network line overload, Voltage Drop, harmonic pollution, Line Loss of Distribution Network System increase may be caused, thus propose larger pressure to electric power system generating, transmission of electricity and distribution link.Therefore, invent a kind of charging electric vehicle process interface control method, optimize its charging load by power system network constraint and power price, reduce the impact of charging electric vehicle to electrical network and be of great practical significance.
As can be seen from a large amount of documents and materials and practical application survey data, current existing achievement in research mainly concentrates on carries out mathematical modeling to charging batteries of electric automobile load, and study its impact on operation of power networks on this basis, and less about the research being optimized charging load by electrical network in charging electric vehicle process-battery interactive controlling, be in relatively blank state.
Summary of the invention
The object of this invention is to provide and a kind ofly consider electricity grid network constraint and user's charging cost simultaneously and formulate the charging electric vehicle process interface control method of charging scheme.
For achieving the above object, the technical solution used in the present invention is:
A kind of charging electric vehicle process interface control method, for formulating the scheme that electric automobile access electrical network carries out charging, be optimized with a large amount of electric loads brought to electrical network it, the method comprise with electric automobile user for main body charging process is optimized, with power distribution network operator and electric automobile user for the interactive controlling of main body to charging process optimizes two steps;
Describedly to comprise for main body is optimized charging process with electric automobile user: the charging scheme proposing the user perspective from electric automobile;
Described with power distribution network operator and electric automobile user for the interactive controlling optimization of main body to charging process comprises: when charging to the described charging scheme from user perspective, electric network security differentiates, if meet electric network security requirement, then the described charging scheme from user perspective is adopted to carry out the scheme of charging as electric automobile access electrical network; If do not meet electric network security requirement, then propose to take into account the user of described electric automobile and the compromise charging scheme of electric network security based on the described charging scheme from user perspective, feasibility discrimination is carried out to described compromise charging scheme, if feasible, according to described compromise charging scheme, the described charging scheme from user perspective is modified, obtain the scheme that electric automobile access electrical network carries out charging, if infeasible, revise described compromise charging scheme and carry out feasibility discrimination again, until described compromise charging scheme is feasible.
Describedly to be realized by following steps A1 to A4 for main body is optimized charging process with electric automobile user:
A1: the electricity price data obtaining current power market, comprise the electricity price in each time period;
A2: based on the charging scheme target function of described electricity price data construct from the electric automobile of user perspective;
A3: be the charging scheme target function setting constraints of the electric automobile from user perspective;
A4: adopt the charging scheme target function from the electric automobile of user perspective described in Linear Programming according to the constraints of setting, thus obtain the described charging scheme from user perspective.
In described steps A 1, the electricity price data obtained are electricity price in each time period or electricity price curve, when obtaining described electricity price curve, doing sliding-model control and obtain the electricity price in each time period to described electricity price curve.
In described steps A 2, with the minimum charging scheme target function building described electric automobile for optimization aim of described electric automobile user charging cost.
In described steps A 3, after the charging of the battery of described electric automobile, state-of-charge equals to charge front state-of-charge and institute's charge volume sum as equality constraint; Be greater than minimum charge rate using the battery charging rate of described electric automobile and be less than maximum charge speed as inequality constraints condition.
Described with power distribution network operator and electric automobile user for the interactive controlling optimization of main body to charging process is realized by following steps B1 to B7:
B1: the every operating index calculating electrical network when adopting the described charging scheme from user perspective, and the gap compared between calculated every operating index and every normal index is to carry out electric network security differentiation;
B2: according to comparative result, do not cause operation of power networks out-of-limit according to the described charging scheme from user perspective, the described charging scheme from user perspective is then adopted to carry out the scheme of charging as electric automobile access electrical network, cause operation of power networks out-of-limit according to the described charging scheme from user perspective, then continue implementation step B3;
B3: based on the described charging scheme from user perspective and consider electric network security propose described in take into account the user of described electric automobile and the compromise charging scheme of electric network security;
B4; The optimization charging scheme target function of electric automobile is built according to described compromise charging scheme;
B5: be the optimization charging scheme target function setting constraints of described electric automobile;
B6: adopt Subgradient Algorithm to solve the optimization charging scheme target function of described electric automobile according to the constraints of setting, realize the feasibility discrimination to described compromise charging scheme;
B7: if described compromise charging scheme is feasible, then according to described compromise charging scheme, the described charging scheme from user perspective is modified, obtain the scheme that electric automobile access electrical network carries out charging, if described compromise charging scheme is infeasible, returns implementation step B4 to B6 after revising described compromise charging scheme and feasibility discrimination is carried out to amended described compromise charging scheme, until described compromise charging scheme is feasible and obtain electric automobile access electrical network and carry out the scheme of charging.
In described step B4, with the charging cost of described electric automobile user and the minimum optimization charging scheme target function building described electric automobile for optimization aim of grid loss sum.
In described step B5, using electric network swim equation as equality constraint; In electrical network each node voltage between lower limit and the upper limit, grid load is less than greatest limit, charging electric vehicle amount is less than or equal to its battery capacity as inequality constraints condition.
The method is realized automatically by power distribution network Dispatching Control System.
Described power distribution network Dispatching Control System is connected with database, and the method also comprises data loading and data store two steps;
Described data are loaded into and comprise: described power distribution network Dispatching Control System is by reading the parameter information of stored electric automobile and described electricity price data in described database;
Described data storage comprises: the scheme that the charging scheme from user perspective obtained, electric automobile access electrical network carry out charging by described power distribution network Dispatching Control System is stored in described database.
Because technique scheme is used, the present invention compared with prior art has following advantages: the method and system can realize electric automobile social benefit in charging process and maximize, namely, under the prerequisite ensureing power network safety operation, user's charging cost is realized minimum.The method and system can provide important technical for distribution network load management, can significantly improve the operational efficiency of power distribution network, guarantee the safe and stable operation of electrical network.
Accompanying drawing explanation
Accompanying drawing 1 is the schematic flow sheet of charging electric vehicle process interface control method of the present invention.
Accompanying drawing 2 is the schematic flow sheet be optimized charging process for main body with electric automobile user in charging electric vehicle process interface control method of the present invention.
Accompanying drawing 3 is the schematic flow sheet optimized the interactive controlling of charging process for main body with power distribution network operator and electric automobile user in charging electric vehicle process interface control method of the present invention.
Embodiment
Below in conjunction with embodiment, the invention will be further described.
Embodiment one: a kind of for formulating the scheme that electric automobile access electrical network carries out charging, with the charging electric vehicle process interface control method be optimized to a large amount of electric loads that electrical network brings it, comprise two large steps, be respectively with electric automobile user for main body charging process is optimized, with power distribution network operator and electric automobile user for main body is to the interactive controlling optimization of charging process, as shown in Figure 1.Electric automobile in this method is often referred to pure battery electric automobile, and it is the electric automobile using lead-acid battery, lithium ion battery, nickel-cadmium cell or Ni-MH battery.Here electric automobile user both can be unique user, can also multiple user, namely customer group power distribution network operator refer to responsible distribution network run, scheduling, control and transaction power distribution network company, its responsibility is mainly guarantees power distribution network safety and stability, economical operation under market environment.
Step one: with electric automobile user for main body is optimized charging process
This step comprises: the charging scheme proposing the user perspective from electric automobile.
As shown in Figure 2, this step realizes especially by following steps A1 to A4:
A1: the electricity price data obtaining current power market, comprise the electricity price in each time period.
Here, both directly can obtain the electricity price in each time period, also can obtain electricity price curve.When obtaining electricity price curve, sliding-model control being done to electricity price curve and obtains the electricity price in each time period.
A2: based on electricity price data, minimum for optimization aim with electric automobile user charging cost, build the charging scheme target function of the electric automobile from user perspective, namely charge capacity needed for charging process and corresponding electricity price product are minimum optimum charging scheme.
A3: be the charging scheme target function setting constraints of the electric automobile from user perspective.After generally selecting the battery of electric automobile to charge, state-of-charge equals to charge front state-of-charge and institute's charge volume sum as equality constraint, i.e. energy content of battery conservation constraints, selects the battery charging rate of electric automobile to be greater than minimum charge rate and is less than maximum charge speed as inequality constraints condition.
A4: adopt Linear Programming from the charging scheme target function of the electric automobile of user perspective according to the constraints of setting, thus obtain the charging scheme from user perspective, the optimum charging load namely in each time period.Should be pending from the charging scheme of user perspective.
Step 2: with power distribution network operator and electric automobile user for main body is to the interactive controlling optimization of charging process
This step comprises: differentiate electric network security when charging from the charging scheme of user perspective, if meet electric network security requirement, then adopts and carries out the scheme of charging as electric automobile access electrical network from the charging scheme of user perspective; If do not meet electric network security requirement, then propose to take into account the user of electric automobile and the compromise charging scheme of electric network security based on from the charging scheme of user perspective, feasibility discrimination is carried out to compromise charging scheme, if feasible, according to compromise charging scheme, the charging scheme from user perspective is modified, obtain the scheme that electric automobile access electrical network carries out charging, if infeasible, the compromise charging scheme of amendment carries out feasibility discrimination again, until compromise charging scheme is feasible.
As shown in Figure 3, this step realizes especially by following steps B1 to B7:
B1: the every operating index calculating electrical network during the charging scheme adopted from user perspective, and the gap compared between calculated every operating index and every normal index is to carry out electric network security differentiation.
B2: according to comparative result, according to not causing operation of power networks out-of-limit (as whether caused power grid out-of-limit, transformer or power circuit overload, line loss excessive) from the charging scheme of user perspective, then adopt and carry out the scheme of charging as electric automobile access electrical network from the charging scheme of user perspective, cause operation of power networks out-of-limit according to from the charging scheme of user perspective, then continue implementation step B3.
B3: based on considering that electric network security proposes to take into account the user of electric automobile and the compromise charging scheme of electric network security from the charging scheme of user perspective.
B4; According to compromise charging scheme, with the charging cost of electric automobile user and grid loss sum minimum for optimization aim, build the optimization charging scheme target function of electric automobile.
B5: be the optimization charging scheme target function setting constraints of electric automobile.Usually electric network swim (powerflow) equation is chosen as equality constraint, i.e. grid generation-electricity consumption conservation of energy constraint; To choose in electrical network each node voltage between lower limit and the upper limit, grid load is less than greatest limit, charging electric vehicle amount is less than or equal to its battery capacity as inequality constraints condition.
B6: adopt Subgradient Algorithm to solve the optimization charging scheme target function of electric automobile according to the constraints of setting, realize the feasibility discrimination to compromise charging scheme.
B7: if compromise charging scheme is feasible, then modify to the charging scheme from user perspective according to compromise charging scheme, obtains the scheme that electric automobile access electrical network carries out charging.If compromise charging scheme is infeasible, returns implementation step B4 to B6 after the compromise charging scheme of amendment and feasibility discrimination is carried out to amended compromise charging scheme, until compromise charging scheme is feasible and obtain the scheme that electric automobile access electrical network carries out charging.
Above-mentioned the method can be realized automatically by power distribution network Dispatching Control System, and power distribution network Dispatching Control System is connected with the database storing various information.Therefore the method be also included in electric automobile user for the data before main body is optimized charging process be loaded into and respectively with electric automobile user for main body charging process is optimized, with power distribution network operator and electric automobile user for main body stores two steps to the data after the interactive controlling optimization of charging process.Data are loaded into and comprise: power distribution network Dispatching Control System by read in database the parameter information of stored electric automobile and electricity price data (comprise battery types, battery capacity, car category, electric automobile day operating range, the electric automobile initiation of charge moment, the data such as ahead market power price).Data storage comprises: the scheme that the charging scheme from user perspective obtained, electric automobile access electrical network carry out charging by power distribution network Dispatching Control System is stored in database, and distribution network Dispatching Control System is used.
The present invention proposes a kind of charging electric vehicle process interface control and optimize strategy, achieve electric automobile social benefit in charging process and maximize, namely under the prerequisite ensureing power network safety operation, ensure that user's charging cost is minimum.The method and system can provide important technical for distribution network load management, can significantly improve the operational efficiency of power distribution network, guarantee the safe and stable operation of electrical network.
Above-described embodiment, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed within protection scope of the present invention.
Claims (10)
1. a charging electric vehicle process interface control method, for formulating the scheme that electric automobile access electrical network carries out charging, be optimized with a large amount of electric loads brought to electrical network it, it is characterized in that: the method comprise with electric automobile user for main body charging process is optimized, with power distribution network operator and electric automobile user for the interactive controlling of main body to charging process optimizes two steps;
Describedly to comprise for main body is optimized charging process with electric automobile user: the charging scheme proposing the user perspective from electric automobile;
Described with power distribution network operator and electric automobile user for the interactive controlling optimization of main body to charging process comprises: when charging to the described charging scheme from user perspective, electric network security differentiates, if meet electric network security requirement, then the described charging scheme from user perspective is adopted to carry out the scheme of charging as electric automobile access electrical network; If do not meet electric network security requirement, then propose to take into account the user of described electric automobile and the compromise charging scheme of electric network security based on the described charging scheme from user perspective, feasibility discrimination is carried out to described compromise charging scheme, if feasible, according to described compromise charging scheme, the described charging scheme from user perspective is modified, obtain the scheme that electric automobile access electrical network carries out charging, if infeasible, revise described compromise charging scheme and carry out feasibility discrimination again, until described compromise charging scheme is feasible.
2. charging electric vehicle process interface control method according to claim 1, is characterized in that: describedly realized by following steps A1 to A4 for main body is optimized charging process with electric automobile user:
A1: the electricity price data obtaining current power market, comprise the electricity price in each time period;
A2: based on the charging scheme target function of described electricity price data construct from the electric automobile of user perspective;
A3: be the charging scheme target function setting constraints of the electric automobile from user perspective;
A4: adopt the charging scheme target function from the electric automobile of user perspective described in Linear Programming according to the constraints of setting, thus obtain the described charging scheme from user perspective.
3. charging electric vehicle process interface control method according to claim 2, it is characterized in that: in described steps A 1, the electricity price data obtained are electricity price in each time period or electricity price curve, when obtaining described electricity price curve, sliding-model control being done to described electricity price curve and obtains the electricity price in each time period.
4. charging electric vehicle process interface control method according to claim 2, is characterized in that: in described steps A 2, with the minimum charging scheme target function building described electric automobile for optimization aim of described electric automobile user charging cost.
5. charging electric vehicle process interface control method according to claim 2, is characterized in that: in described steps A 3, and after the charging of the battery of described electric automobile, state-of-charge equals to charge front state-of-charge and institute's charge volume sum as equality constraint; Be greater than minimum charge rate using the battery charging rate of described electric automobile and be less than maximum charge speed as inequality constraints condition.
6. charging electric vehicle process interface control method according to claim 1, is characterized in that: described with power distribution network operator and electric automobile user for the interactive controlling optimization of main body to charging process is realized by following steps B1 to B7:
B1: the every operating index calculating electrical network when adopting the described charging scheme from user perspective, and the gap compared between calculated every operating index and every normal index is to carry out electric network security differentiation;
B2: according to comparative result, do not cause operation of power networks out-of-limit according to the described charging scheme from user perspective, the described charging scheme from user perspective is then adopted to carry out the scheme of charging as electric automobile access electrical network, cause operation of power networks out-of-limit according to the described charging scheme from user perspective, then continue implementation step B3;
B3: based on the described charging scheme from user perspective and consider electric network security propose described in take into account the user of described electric automobile and the compromise charging scheme of electric network security;
B4; The optimization charging scheme target function of electric automobile is built according to described compromise charging scheme;
B5: be the optimization charging scheme target function setting constraints of described electric automobile;
B6: adopt Subgradient Algorithm to solve the optimization charging scheme target function of described electric automobile according to the constraints of setting, realize the feasibility discrimination to described compromise charging scheme;
B7: if described compromise charging scheme is feasible, then according to described compromise charging scheme, the described charging scheme from user perspective is modified, obtain the scheme that electric automobile access electrical network carries out charging, if described compromise charging scheme is infeasible, returns implementation step B4 to B6 after revising described compromise charging scheme and feasibility discrimination is carried out to amended described compromise charging scheme, until described compromise charging scheme is feasible and obtain electric automobile access electrical network and carry out the scheme of charging.
7. charging electric vehicle process interface control method according to claim 6, it is characterized in that: in described step B4, with the charging cost of described electric automobile user and the minimum optimization charging scheme target function building described electric automobile for optimization aim of grid loss sum.
8. charging electric vehicle process interface control method according to claim 6, is characterized in that: in described step B5, using electric network swim equation as equality constraint; In electrical network each node voltage between lower limit and the upper limit, grid load is less than greatest limit, charging electric vehicle amount is less than or equal to its battery capacity as inequality constraints condition.
9. charging electric vehicle process interface control method according to any one of claim 1 to 8, is characterized in that: the method is realized automatically by power distribution network Dispatching Control System.
10. charging electric vehicle process interface control method according to claim 9, is characterized in that: described power distribution network Dispatching Control System is connected with database, and the method also comprises data loading and data store two steps;
Described data are loaded into and comprise: described power distribution network Dispatching Control System is by reading the parameter information of stored electric automobile and described electricity price data in described database;
Described data storage comprises: the scheme that the charging scheme from user perspective obtained, electric automobile access electrical network carry out charging by described power distribution network Dispatching Control System is stored in described database.
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