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Optimal Dispatch Strategy For Users In Integrated Energy Parks Considering The Willingness Of Electric Vehicle Users To Participate In Charging And Discharging

Posted on:2022-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:W LiuFull Text:PDF
GTID:2492306509969409Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Energy shortage and environmental pollution continue to intensify,causing countries around the world to face the problems of energy conservation and environmental protection.Renewable energy has been recognized by the society for its unique advantages in the energy conservation and the environmental protection,and various countries have successively introduced a series of policies and measures to promote the development of renewable energy.At the same time,as an alternative to traditional fuel vehicles,electric vehicles have also been greatly promoted.With a large number of electric vehicles into people’s daily life,they can assist people in their daily travel,but also play a role in reducing fossil energy consumption and pollution emissions.However,because electric vehicle users have different travel patterns and charging times,the disorderly charging behavior of a large number of electric vehicle users also bring challenges to the safe operation of the power grid.The scientific and reasonable design of energy dispatching strategies between the power grid and users can not only reduce the energy purchase cost of users,but also reduce the load pressure for the power grid.Therefore,it is of great significance to study the dispatching strategies between the power grid and users.This article is mainly divided into three parts,discussing the issues related to electric vehicle charging.(1)Introduced the relevant background knowledge of electric vehicles and the transaction of distributed generation market,and analyzed the research status at home and abroad.Considering the impact of load forecasting on power grid dispatch and planning,the idea of using artificial neural networks for load forecasting is briefly introduced.Finally,by using Monte Carlo simulation,the disorderly charging behavior of a large number of electric vehicle users is simulated,The charging load curve of electric vehicles under disorderly charging conditions is obtained.(2)Based on the market-oriented transactions of distributed power generation and the willingness of electric vehicle users to participate in charging and discharging,an energy optimal dispatch strategy between the grid side and the users is established.And the optimal dispatch results are analyzed through specific examples,showing that after the optimal dispatching,the output of distributed power sources has been more effectively used,while reducing the load pressure on the grid side.(3)A comparative analysis of the user’s energy consumption characteristics and purchases under the condition of disorderly charging,the disorderly charging of electric vehicles considering the market-oriented transaction of distributed power generation and the conditions of the market-oriented transaction of distributed power generation and the willingness of electric vehicle users to participate in charging and discharging.Through the analysis and comparison of a specific example,it is concluded that the user’s energy purchase cost is the lowest considering the market-oriented transactions of distributed power generation and the willingness of electric vehicle users to participate in charging and discharging.Moreover,the energy exchange between electric vehicles and smart buildings can be achieved,so that it will reduce the load pressure on the grid side,highlighting its advantages in saving users’ energy purchase costs and maintaining stable operation of the grid.
Keywords/Search Tags:disorderly charging, Monte Carlo simulation method, electric vehicle users’ willingness to participate in charging and discharging, distributed power generation market-oriented trading
PDF Full Text Request
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