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Energy Micro-market Operation Mechanism Based On Charging Pile

Posted on:2020-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:S R MaFull Text:PDF
GTID:2392330623460132Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the continuous advancement of energy,the scale of renewable energy construction continues to expand,and the energy consumption structure continues to improve.At the same time,it also brings about the problem of large-scale renewable energy consumption on the distribution network side.Meanwhile,with the continuous development of the social economy The environmental awareness is constantly improving,and the sales and use scale of electric vehicles are further expanded.The free charging of electric vehicles will bring a strong impact to the power grid,which is not conducive to the stable operation of the power grid and the sustainable development of the economy.Set the electric vehicle charging pile as the starting point,and the orderly guidance of the charging load of the electric vehicle is realized through the charging pile.The purpose is to realize the renewable energy consumption in the energy microgrid and the overall load management of the micro-grid by the load control of the charging pile.Firstly,based on the space-time dual-scale stochastic characteristics of vehicle,the charging pile charging demand calculation model is established,and the doublelayer load control model of charging pile for load management is proposed.The feasibility of the agent's load control under typical application scenarios is studied.Secondly,it proposes an open,transparent and auto-executive energy micromarket operation mechanism based on smart contracts,and establishes multiple rounds of random matching trading mechanism with the objective opportunity to maximize the opportunity and return,and compares it with the centralized two-way auction mechanism.The effectiveness of the proposed trading mechanism was studied.Finally,according to the profit model of the electric vehicle charging pile,the profit model of the charging pile agent is established to minimize the daily operating cost as the objective function of the agent for energy management,and the adaptive optimization method is used to continuously optimize the quotation and report of each time period.Through the alternate iterative method to find the optimal solution of the objective function,the example shows that in the process of continuously reducing the operating cost,the agent will continuously adjust the bidding strategy according to the normal load situation and the output of the distributed energy,and finally realize the smooth load.Curves,the purpose of eliminating renewable energy.
Keywords/Search Tags:Electric vehicles, Distributed trading, Renewable energy consumption, Adaptive, Bidding strategy
PDF Full Text Request
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