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The Research Of Demand Side Response Model With Electric Vehicle To Grid

Posted on:2016-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:D XuFull Text:PDF
GTID:2272330470971879Subject:Electrical theory and new technology
Abstract/Summary:PDF Full Text Request
With the continuous improvement of social productivity, the rapid development of science and technology, electric cars, as the representative of a new type of car, are attended and researched more and more by the people with its unique characteristics. China and Governments all over the world are committed to seek the new energy alternatives, hoping that it can contribute to human’s outstanding for environmental causes. Electric cars can be used as power load absorbing energy from the grid on the one hand, and also can be used as energy storage system releasing electric power back to the grid at the peak hours on the other hand. The large-scale of disordered electric vehicle charging and discharging, will bring great impact to distribution network load, therefore, if you can manage and control the cars access to distribution network by a reasonable mean, through the adjustment of the price mechanism, you can make it charge during the off-peak time and discharge during the peak time, so as to better play the role of its "cut the peak to the valley" and better service to humans.This paper analyzes and researches the electric vehicles load characteristics that will access to the distribution network over a period of time in the future firstly, according to the current development situation of electric cars as well as the national economy level of development speed; Secondly, it establishes demand side response model according to analyze the characteristics of the electric car load in different periods, puts forward to different strategy of demand side response and selects time-sharing electricity price and urgent demand response strategy to establish avoidable load model, transferable load model and combined load model, analysis the different degree of electric vehicles for the response of the price mechanism, compares and analysis through the MATLAB simulation curve; Finally, compare the distribution network indicators before and after the response, calculates the distribution network line loss and voltage percent of pass before and after the response, set up power system optimal operation model considering demand side response respectively from two aspects of power generation side and distribution network side. Calculate the model by the method of particle swarm optimization. Come to the conclusion that the electric vehicles mass accessed to the distribution network will bring serious impact and influence on the grid. But as long as through a reasonable mechanism to guide and control, they can reduce the influence, get toward to the good direction, and benefit to human society.
Keywords/Search Tags:electric vehicles, demand side response model, power indicator, optimal operation, particle swarm optimization control
PDF Full Text Request
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