CN102324585A - Based on the orderly charging method of the electric automobile of multi-agent system - Google Patents
Based on the orderly charging method of the electric automobile of multi-agent system Download PDFInfo
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Abstract
The orderly charging method of a kind of electric automobile based on multi-agent system, the present invention realizes through the cooperation between transmitting transformer load monitoring agency, distribution transformer load monitoring agency, charging electric vehicle agency, intelligent appliance control agent, intelligent interaction control agent and the integrated decision-making agency.What distribution transformer load monitoring agency received each intelligent interaction control agent and charging electric vehicle agency uploads data and transmitting transformer load data; And utilize collected data; Employing is carried out logic determines based on platform district load crowd's the electric automobile control strategy that charges in order; After the controlled execution command, return to corresponding intelligent interaction control agent and charging electric vehicle agency.Adopt said method, realized that electric automobile charges, stabilizes power fluctuation and economic dispatch function in order, solve existing optimization method and have problems such as processing capability in real time deficiency, dimension disaster.The inventive method is applicable to the charging control of the riding electric automobile of family.
Description
Technical field
The present invention relates to a kind of orderly charging method of electric automobile of multi-agent system, belong to the charging electric vehicle technical field.
Background technology
The access of a large amount of electric automobiles is that the safety and economy operation of electric power system has brought new challenge, and the unordered charging behavior meeting of especially a large amount of electric automobiles brings significant negative effect to system, even possibly influence the safety and the reliability service of electric power system.After electric automobile extensively adopts, can become a kind of novel, the jumbo load of electric power system, for each domestic consumer, adopting current charges 6-8 hour of 16-32A every day will be a very big load.Though as far as single family, with the load simple superposition of all electrical equipment, its peak load maybe be above 10 kilowatts; But under most situation, the situation that all electrical equipment moves simultaneously can not occur, therefore see that from the angle of whole distribution system the difference of a large number of users consumption habit can reduce the peak load level.Yet,,, and possibly exist the electric automobile of most of family to be in the situation of charged state at one time because the charging electric vehicle duration is longer if insert electric automobiles in a large number under the normal situation about using of other electrical equipment.Like this; If inappropriate control charging load; Then possibly cause the obvious rising of some load periods, night load peak time this can produce adverse influence more, like the needs network capacity that increases electric power; And increase generate output newly for satisfying the peak load demand, cause system's cost of investment and operating cost to increase.Consider that electric automobile charges in order and need to handle mass data, and carry out alternately that there are problems such as processing capability in real time deficiency, dimension disaster in existing optimization method with a plurality of application.For this reason, during the present invention charges multi-agent system application and electric automobile in order.Agency's (being also referred to as agent) is meant autonomous operation under certain environment, comprises the entity of the state of mind such as conviction, promise, obligation, intention, and it has essential characteristics such as autonomy, reactivity, the continuous feasibility of dynamic role.Single agency's is intelligent limited, organizes the agency through suitable architecture, thereby remedies each agency's deficiency, makes the ability of whole system surpass any single agency's ability.The basic ideas of Here it is multi-agent system.
Summary of the invention
The purpose of this invention is to provide the orderly charging method of a kind of electric automobile based on multi-agent system; On the basis that does not increase investment; Through obtaining the adapted electrical information of existing distribution transformer monitoring, intelligent electric meter, Smart Home and alternating-current charging pile; According to the load condition of distribution transforming, the electric automobile of the adaptively selected optimum control strategy that charges in order.The realization key of multi-agent technology is two aspects: the one, and the cooperation between the agency, the 2nd, to the adaptation of environment.
The present invention is achieved through following technical scheme:
1, sets up the electric automobile many agent models of charging in order, realize the reasonable distribution of system resource;
Mainly act on behalf of and realize through transmitting transformer load monitoring agency, distribution transformer load monitoring agency, charging electric vehicle agency, intelligent appliance control agent, intelligent interaction control agent and integrated decision-making.All offer each diagnostic agent to all data simultaneously surely owing to when charging electric vehicle, differ, so sub agent might can only start a part.Each sub agent also comprises controlling models, control two parts as a result except communication and data acquisition functions.Except the integrated decision-making agency need carry out according to each agency's result the analysis-by-synthesis, the independently perhaps parallel running of each sub agent.
2, based on the agent communication mechanism of publisher/subscriber's structure, realize the information interaction between a plurality of agencies;
Communication, the data that each agency has oneself are obtained, are safeguarded or diagnose functions such as judgement, have certain independence.Agency's communication mechanism mainly adopts publisher/subscriber's communication structure to accomplish the information interaction between a plurality of agencies.This communication structure is supported the point-to-point direct communication between a plurality of agencies, and publisher agent directly sends information to subscriber agency, i.e. point-to-point communication, and remaining acts on behalf of this information that do not receive system in.
3, set up the electric automobile coordination mechanism between the many agencies of charging in order
Cooperation between many agencies mainly may further comprise the steps: at first, maintenance proxy can carry out updating maintenance to Historical Alerts data management, file management and rule base etc.Then; The charging electric vehicle agency sends the charging request to affiliated distribution transformer load monitoring agency; Distribution transformer load monitoring agency is through obtaining the real-time load of transformer; Whether anticipation exists overload and trend thereof, and coordinates with transmitting transformer load monitoring agency, and whether the anticipation transmitting transformer exists overload and trend thereof.At last, the integrated decision-making agency carries out final analysis, and provides orderly charging optimisation strategy according to distribution transformer load monitoring agency and transmitting transformer load monitoring agency's result.For example; If distribution transformer and transmitting transformer nonoverload; The integrated decision-making agency sends charge command to the charging electric vehicle agency, otherwise the integrated decision-making agency sends family's load unloading order to the intelligent interaction control agent; The intelligent interaction control agent sends the unloading order according to the difference of discharging quantity to the intelligent appliance control agent.
Distribution transformer load monitoring agency adopts the charging electric vehicle machine of many low pressure outlets compositions of distribution transformer measure and control device monitoring distribution transformer, the total load capacity of home consumer device.
The load data of uploading data and the transmission of transmitting transformer measure and control device of each smart-interactive terminal that the reception of distribution transformer measure and control device is connected and electric automobile charging pile; And utilize collected data; Carry out logic determines according to predefined control strategy; After the controlled criterion execution command, return control command and give corresponding smart-interactive terminal and electric automobile charging pile.
4, based on platform district load crowd's the electric automobile optimisation strategy of charging in order
The platform district load crowd who forms with many low pressure outlets of distribution transformer is an object; Realization is aggregated into the integrated decision-making agency with each real time execution information that goes out specific electric load and realizes stabilizing functions such as power fluctuation and economic dispatch based on platform district load crowd's the electric automobile optimisation strategy of charging in order.Stabilize the power fluctuation function through the generating prediction data, calculate the power curve of output, formulate electric automobile on this basis and discharge and recharge the strategy realization; The economic dispatch function reaches best using energy source and economy and realizes through coordinating to consider photovoltaic generation, electric automobile, load.
The present invention's beneficial effect compared with prior art is 1. to have solved existing optimization method and had problems such as processing capability in real time deficiency, dimension disaster; 2. under the prerequisite that guarantees reliable power supply, realize that electric automobile charges in order; 3. realize stabilizing functions such as power fluctuation and economic dispatch; 4. the user becomes participant initiatively from passive service acceptor, and initiative strengthens.
The inventive method is applicable to the charging control of the riding electric automobile of family.
Description of drawings
Fig. 1 is the electric automobile charge-discharge system configuration diagram based on multi-agent system of the present invention;
Fig. 2 is an information exchange sketch map of the present invention;
Fig. 3 is the coordination mechanism sketch map between many agencies of the present invention;
Fig. 4 is a concrete implementation sketch map of the present invention;
Picture in picture number expression: the 1st, the information interaction between charging electric vehicle agency and the distribution transformer load monitoring agency, the charging electric vehicle agency sends the charging request to affiliated distribution transformer load monitoring agency; The 2nd, the distribution transformer load monitoring is acted on behalf of through the real-time load that obtains transformer or according to the historical load data; The load power consumption is predicted; Whether anticipation exists overload and trend thereof, can understand equipment running through electricity supply and use equipment status monitoring and information gathering; The 3rd, distribution transformer load monitoring agency and transmitting transformer load monitoring agency coordinate, and whether the anticipation transmitting transformer exists overload and trend thereof; The 4th, the information interaction between distribution transformer load monitoring agency and the transmitting transformer load monitoring agency; The 5th, transmitting transformer; The 6th, distribution transformer; The 7th, home dwelling; The 8th, the riding electric automobile of family; The 9th, public building; The 10th, the transmitting transformer measure and control device; The 11st, the distribution transformer measure and control device; The 12nd, communication unit; 13-1 is a Smart Home 1; 13-N is Smart Home N; 14-1 is garage 1; 14-N is garage N; The 15th, electric automobile charging pile; 16-1 is a domestic electric appliances controller 1; 16-2 is a domestic electric appliances controller 2; 16-3 is a domestic electric appliances controller 3; The 17th, smart-interactive terminal; The 18th, communication network.
Embodiment
Fig. 1 is the electric automobile charge-discharge system configuration diagram that the present invention is based on multi-agent system.
As shown in Figure 1, this system mainly accomplishes by coordinating control between a plurality of agencies such as communication agent, maintenance proxy, observing and controlling agency.Wherein the observing and controlling agency mainly is divided into sub agents such as transmitting transformer load monitoring agency, distribution transformer load monitoring agency, charging electric vehicle agency, intelligent appliance control agent, intelligent interaction control end agency and integrated decision-making agency.Communication, the data that each agency has oneself are obtained, are safeguarded or diagnose function such as judgement, have certain independence, and cooperate, interact, accomplish the orderly charge function of electric automobile each other between each agency.
(1) distribution transformer load monitoring agency
Distribution transformer is the key equipment of box-type substation, and distribution transformer load monitoring agency is mainly used in the charging electric vehicle machine of many low pressure outlets compositions of monitoring distribution transformer, the total load capacity of home consumer device.
(2) intelligent interaction control end agency
Smart-interactive terminal is a key equipment of realizing the home intelligent power service; Intelligent interaction control end agency mainly is that household electricity equipment is carried out unified monitoring and management; Data such as the quality of power supply, household electricity information are gathered and analyzed; Guides user is carried out rational utilization of electricity, regulates the electrical network peak load, realizes intelligent interaction between electrical network and the user.
(3) intelligent appliance control agent
The intelligent appliance control agent is the power load data through real-time, accurate, the sensitive collection household electrical appliance of smart jack, transmits information through power line narrow band communication technology to smart-interactive terminal, and accepts break-make electric control order.Intelligent management through to sensibility charges such as user's electric heater, air-conditioning, refrigerators can carry out balance adjustment to power load.
(5) alternating-current charging pile agency
Alternating-current charging pile is meant and is fixed on ground that adopting conduction pattern is that the electric automobile with vehicle-mounted charge machine provides AC energy, man machine operation interface and AC charging interface is provided, and possesses the isolated plant of corresponding monitoring and protection function.The alternating-current charging pile agency mainly is a running state parameter of uploading alternating-current charging pile as required, accepts remote control command.For example, charge capacity is set in advance when uploading charging electric vehicle, set the electric automobile charging and discharging state and running time section, need realize the control of charging beginning, stopping, promptly stopping according to operation of power networks.
(6) integrated decision-making agency
When at least one is activated in transmitting transformer load monitoring, distribution transformer load monitoring, charging electric vehicle, intelligent appliance control, the intelligent interaction control agent; Start the integrated decision-making agency; Utilize the result between each diagnosis sub agent, the binding rule storehouse provides the final result of analysis-by-synthesis.
Fig. 2 is based on the agent communication mode of publisher/subscriber's structure.Adopt the agent communication mechanism of publisher/subscriber's structure as shown in Figure 4; This model adopts event-driven mode; Realize using in real time thereby can control to sequential; The time delay of message transmission can artificially be provided with, and therefore between reliability of information transmission and time certainty, has the ability of compromise selection.
Fig. 3 discharges and recharges the coordination mechanism sketch map between acting on behalf of for electric automobile more.
Transmitting transformer 5 is reduced to 10 kilovolts with 110 kilovolts of high pressure and is supplied with distribution transformer 6, and distribution transformer 6 is reduced to 400 volts with 10 kilovolts, supplies with home dwelling 7, the riding electric automobile 8 of family and public building 9 electricity consumptions respectively.
Information interaction between 1 expression charging electric vehicle agency and the distribution transformer load monitoring agency, the charging electric vehicle agency sends the charging request to affiliated distribution transformer load monitoring agency;
2 expression distribution transformer load monitorings are acted on behalf of through the real-time load that obtains transformer or according to the historical load data; The load power consumption is predicted; Whether anticipation exists overload and trend thereof, can understand equipment running through electricity supply and use equipment status monitoring and information gathering;
3 expression distribution transformer load monitoring agencies coordinate with transmitting transformer load monitoring agency, and whether the anticipation transmitting transformer exists overload and trend thereof;
Information interaction between 4 expression distribution transformer load monitoring agencies and the transmitting transformer load monitoring agency: the integrated decision-making agency is according to distribution transformer load monitoring agency and transmitting transformer load monitoring agency's result; Carry out final analysis; And provide orderly charging optimisation strategy, send the charging beginning, stop control command to the charging electric vehicle agency by distribution transformer load monitoring agency at last.
Fig. 4 is a concrete implementation sketch map of the present invention.As shown in Figure 4; The smart-interactive terminal of configuration carries out unified monitoring and management through 12 pairs of household electricity equipment of intelligent appliance controller; Data such as the quality of power supply, household electricity information are gathered and analyzed; Guides user is carried out rational utilization of electricity, regulates the electrical network peak load, realizes intelligent interaction between electrical network and the user.The configuration smart-interactive terminal 17, electric automobile charging pile 15 gather respectively be positioned at Smart Home 13-1 ..., 13-N and garage 14-1 ..., the various household electrical appliances among the 14-N and the electricity consumption data of electric automobile, through communication network 18 real time data is uploaded to distribution transformer measure and control device 11.The load data of uploading data and 10 transmissions of transmitting transformer measure and control device of each smart-interactive terminal 17 that 11 receptions of distribution transformer measure and control device are connected and electric automobile charging pile 15; And utilize collected data; Carry out logic determines according to predefined control strategy; After the controlled criterion execution command, return control command and give corresponding smart-interactive terminal 17 and electric automobile charging pile 15.Through with user's two-way interaction, the user can initiatively adjust self power load according to electricity price information and network load situation, perhaps according to the situation of network load, control intelligent appliance break-make; Set and section running time according to the electric automobile charging and discharging state, combine charging electric vehicle machine optimization operation strategy, the charging electric vehicle machine is loaded predict, stabilize the purpose that grid power fluctuates thereby reach.
Claims (4)
1. orderly charging method of the electric automobile based on multi-agent system is characterized in that this method may further comprise the steps:
(a) set up the electric automobile many agent models of charging in order, realize the reasonable distribution of system resource;
(b) based on the agent communication mechanism of publisher/subscriber's structure, realize the information interaction between a plurality of agencies;
(c) set up the electric automobile coordination mechanism between the many agencies of charging in order;
(d) based on platform district load crowd's the electric automobile optimisation strategy of charging in order.
2. the orderly charging method of the electric automobile based on multi-agent system according to claim 1; It is characterized in that the many agent models of the orderly charging of said electric automobile are mainly acted on behalf of through transmitting transformer load monitoring agency, distribution transformer load monitoring agency, charging electric vehicle agency, intelligent appliance control agent, intelligent interaction control agent and integrated decision-making and realized; Distribution transformer load monitoring agency adopts the charging electric vehicle machine of many low pressure outlets compositions of distribution transformer measure and control device monitoring distribution transformer, the total load capacity of home consumer device.
3. according to claim 1 and the orderly charging method of 2 described electric automobiles based on multi-agent system; It is characterized in that; The load data of uploading data and the transmission of transmitting transformer measure and control device of each smart-interactive terminal that the reception of distribution transformer measure and control device is connected and electric automobile charging pile; And utilize collected data; Carry out logic determines according to predefined control strategy, after the controlled criterion execution command, return control command and give corresponding smart-interactive terminal and electric automobile charging pile.
4. the orderly charging method of the electric automobile based on multi-agent system according to claim 1; It is characterized in that; The platform district load crowd who forms with many low pressure outlets of distribution transformer is an object; Realization is aggregated into distribution transformer with each real time execution information that goes out specific electric load and realizes stabilizing functions such as power fluctuation and economic dispatch based on platform district load crowd's the electric automobile optimisation strategy of charging in order.
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| CN102738815A (en) * | 2012-05-28 | 2012-10-17 | 深圳市科陆电子科技股份有限公司 | System and method for managing energy-storage equipment system |
| WO2013131247A1 (en) * | 2012-03-06 | 2013-09-12 | Guo Chunlin | Device and method for use in staggered-time charging |
| CN103401278A (en) * | 2013-07-18 | 2013-11-20 | 南方电网科学研究院有限责任公司 | Electric vehicle multi-agent charge control system and method |
| CN103632205A (en) * | 2013-11-05 | 2014-03-12 | 常州大学 | Optimized electric-vehicle dispatching method considering wind-electricity and load uncertainty |
| CN103840549A (en) * | 2012-11-20 | 2014-06-04 | 北京交通大学 | System and method for dispatching charging load space of electric vehicle |
| CN105184436A (en) * | 2015-07-15 | 2015-12-23 | 许继电气股份有限公司 | Multi-agent DC charging management system and method |
| CN106208388A (en) * | 2016-08-31 | 2016-12-07 | 科大智能电气技术有限公司 | A kind of intelligence charging system and short term basis load prediction implementation method thereof in order |
| CN107150601A (en) * | 2017-04-26 | 2017-09-12 | 西安交通大学 | One kind is based on the orderly charging method of how agential electric automobile |
| CN109768621A (en) * | 2018-12-20 | 2019-05-17 | 国网北京市电力公司 | Control method, device, storage medium and the electronic device of power equipment |
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| CN102738815A (en) * | 2012-05-28 | 2012-10-17 | 深圳市科陆电子科技股份有限公司 | System and method for managing energy-storage equipment system |
| CN103840549B (en) * | 2012-11-20 | 2016-03-16 | 北京交通大学 | Charging electric vehicle load space dispatching patcher and method |
| CN103840549A (en) * | 2012-11-20 | 2014-06-04 | 北京交通大学 | System and method for dispatching charging load space of electric vehicle |
| CN103401278A (en) * | 2013-07-18 | 2013-11-20 | 南方电网科学研究院有限责任公司 | Electric vehicle multi-agent charge control system and method |
| CN103632205A (en) * | 2013-11-05 | 2014-03-12 | 常州大学 | Optimized electric-vehicle dispatching method considering wind-electricity and load uncertainty |
| CN103632205B (en) * | 2013-11-05 | 2016-08-17 | 常州大学 | A kind of consider wind-powered electricity generation and negative rules containing electric automobile Optimization Scheduling |
| CN105184436A (en) * | 2015-07-15 | 2015-12-23 | 许继电气股份有限公司 | Multi-agent DC charging management system and method |
| CN106208388A (en) * | 2016-08-31 | 2016-12-07 | 科大智能电气技术有限公司 | A kind of intelligence charging system and short term basis load prediction implementation method thereof in order |
| CN107150601A (en) * | 2017-04-26 | 2017-09-12 | 西安交通大学 | One kind is based on the orderly charging method of how agential electric automobile |
| CN107150601B (en) * | 2017-04-26 | 2019-08-23 | 西安交通大学 | One kind being based on the orderly charging method of how agential electric car |
| CN109768621A (en) * | 2018-12-20 | 2019-05-17 | 国网北京市电力公司 | Control method, device, storage medium and the electronic device of power equipment |
| CN109787218A (en) * | 2018-12-21 | 2019-05-21 | 北京华商三优新能源科技有限公司 | Duty control method, apparatus and system |
| CN112052521A (en) * | 2020-09-18 | 2020-12-08 | 中国人民解放军国防科技大学 | Solid engine charging configuration design method based on continuous-discrete mixing optimization |
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