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Research On P2P Energy Trading Of Electric Vehicle Collaborative Microgrid Based On Network Constraints

Posted on:2023-07-18Degree:MasterType:Thesis
Country:ChinaCandidate:G L LiFull Text:PDF
GTID:2532306752977769Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of electric vehicles and microgrids,a large number of electric vehicles will gradually develop into microgrids in addition to accessing existing large power grids.A large number of disorderly charging will form a new load flow to impact the microgrid,causing a greater impact on the stable operation of its microgrid,resulting in the difficulty of promoting the access of electric vehicles to the microgrid system.The essence of electric vehicle access to the microgrid is to charge the power battery,and its power battery is also an energy storage device that can realize the discharge of the power grid.If it can accept the charge and discharge dispatch of the power grid,it will greatly increase the energy storage capacity of the microgrid and make the regulation of the energy of the microgrid more flexible.The difference between electric vehicles and traditional energy storage equipment is that their charging process has many randomness,and if you want to dispatch the energy storage unit with electric vehicle microgrid,you need to consider its randomness.Microgrid marketization is an indispensable process in the development of microgrid,it can be adjusted by adjusting the size of electricity prices to motivate electric vehicle users to cooperate with energy dispatch,at this stage there have been a lot of research on the microgrid demand response mechanism,but rarely consider the impact of electric vehicles in the microgrid.According to the analysis of domestic and foreign trends,this theis will propose new solutions,the main contents including the use of P2P between electric vehicles for direct energy trading(V2V,vehicle to vehicle)can alleviate the load pressure of electric vehicles on the microgrid,but also provide a more convenient charging path for electric vehicles,but energy transactions not only have requirements for information security and fairness,If the random dispatch may also cause energy losses,so there is a lack of a complete energy trading system at this stage.Aiming at the current research on the access of electric vehicles to microgrids,this theis studies the optimization system energy storage configuration unit,the electric vehicle energy trading system under the point-to-point mode,and the electricity price optimization game to promote the development of electric vehicle access to the microgrid.The specific contributions to this article are as follows:1)Compared the difference between electric vehicles and traditional energy storage equipment,and modeled according to random characteristics such as charging time and charge state of electric vehicles.2)Based on the P2P trading method between electric vehicles,constructed a decentralized trading system,carried out economic dispatch in the form of time-sharing electricity prices,and constructed a time-sharing electricity price game model based on electric vehicles,microgrids and public power grids.Considering the uncertainty of the behavior and decision-making of other participants in the transaction process,based on the benefits of electric vehicles,proposed the optimal pricing strategy of time-sharing electricity price based on the Beyasian game,and strictly proved the existence and uniqueness of the Nash equilibrium,and finally obtained the Nash equilibrium solution.3)Considering that the transaction process may cause losses such as low voltage,power blockage,and line loss of microgrid nodes,the sensitivity analysis method is used to convert the losses generated by transactions into network constraints,so that the external costs generated during the transaction process are internalized to improve the stability of the power network.
Keywords/Search Tags:Microgffrid, Electric vehicles, electricity price game, sensitivity analysis, Beyasian game
PDF Full Text Request
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