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Research Of The Model For Day-ahead Electricity Trading In Distribution Network

Posted on:2021-03-04Degree:MasterType:Thesis
Country:ChinaCandidate:Q HuFull Text:PDF
GTID:2392330647951173Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the issuance of “Electricity Reform No.9” in 2015,the reform trend of "three open,one independent,and three strengthening" has been formed in the field of electricity markets.Under the mature background of the electricity generation market reform,the opening of the electricity sales market will become an important task for deepening the reform of the power system.The focus is on cultivating the main body of market,formulating market access standards,opening up the market to users,and improving the service quality of the electricity sales market.With the advancement of the new electricity reform,the electricity market will change from the traditional power sales to a model combining forward market,day-ahead market and real-time market.The increase of sales bodies and the diversification of sales models mean that the electricity trading behavior is complicated.At the same time,traditional power supply companies,such as distribution network operators,must also bear the responsibility of ensuring power supply security and quality during market transactions.It is a key that needs to be solved how to ensure power supply security and quality while taking into account the interests of various electricity bodies,and stimulating the initiative of sales bodies to participate in the electricity market in the new situation.This paper focuses on the analysis and research of the model for day-ahead trading in distribution network with multi-stakeholder participation in the initial stage of marketization.The main Contents as follows.(1)The day-ahead market scheduling model of the distribution network is introduced.And it focused on describing the methods for users and sales bodies to participate in the day-ahead market.Then it classify the load-side resources in the distribution network,and form a distribution network operator(Distribution Network Operator,DNO),distributed generation operator(DGO),and load aggregator(LA)based on the controllable resources which lays the research foundation for the multi-agents participating in the day-ahead market transactions.A game model of day-ahead market transactions including distribution network operator DNO,distributed power operator DGO,and load aggregator LA is established.The three parties have TOU& tiered pricing as the game strategy;the electricity market adopts pay-as-bid settlement model.In view of the inconsistent interests of the sales bodies,the multivariable and non-linear characteristics of the game model,a Nash-Q method was proposed to solve the model.At the same time,three evaluation indexes,namely,the balance of profit distribution,the contribution of power balance,and the fluctuation rate of new energy penetration,are established to lay the foundation for the comparison between the traditional constant / TOU price model and the game model in this paper.(3)The simulation verification is carried out in the IEEE 33-bus system,and a comparative analysis of the impact of the three models on the distribution of interest to all parties involved in the market.The results show that compared with the constant /TOU price,the game bargaining model not only improves the profits of various parties involved in market transactions,but also mobilizes demand side resources to participate in the market,lowers network operating costs,and can significantly improve the balance of benefit distribution,enhance the contribution of renewable energy participation in power balance and reduce the risk of networks absorbing new energy.
Keywords/Search Tags:the Nash-Q method, distribution network, Day-ahead market, game theory
PDF Full Text Request
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