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Research On Power System Dispatch With Wind Power And Electric Vehicles Based On Evolutionary Algorithm

Posted on:2019-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:B H QiaoFull Text:PDF
GTID:2322330545483123Subject:Control engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the excessive exploitation and use of natural energy,the amount of disposable energy storage capacity of coal,oil and natural gas has been greatly reduced.At the same time,it has caused serious pollution.At present,most of the world's thermal power plants still use the combustion of disposable energy such as coal and oil to generate electricity.Furthermore,the emissions of power generated by thermal power plants and exhaust emissions from motor vehicles are the main source of air pollutants.Therefore,the development of clean and pollution-free new energy sources and the use of greener transport are one of the important measures to save energy,reduce emissions and protect the environment.Wind energy,as a kind of clean energy,has been widely concerned about its ability to reduce the dependence of traditional power plants on fossil energy and reduce the emission of pollutants.However,due to the randomness of wind energy,its grid connection will bring new challenges and uncertainties to the safe and stable.Because of electric vehicle's zero emission,low noise and pollution-free characteristics,it's have attracted the attention of various government agencies,automobile manufacturers,enterprises and institutions.However,large-scale electric vehicles in the future will bring a heavy load on the power grid.But,with the development of battery technology,it will become feasible to incorporate electric vehicles as a way to store electric energy in the form of car-network interaction.This paper considers the two objectives of fuel combustion costs and pollutant emissions and constructs a multi-objective dynamic environment economic optimal scheduling model that is more in line with the actual scheduling requirements.Based on the characteristics of nonlinear and non-convex models,an improved constraint-based approach is proposed.The IMOEA/D-CH optimization solution algorithm was processed and three different cases were used to verify the rationality and correctness of the proposed model and proposed algorithm.On this basis,combined with the randomness of wind power and the energy attributes and traffic attributes of electric vehicles,a multi-objective dynamic environment economic dispatch model considering wind power and electric vehicles is established.The stochastic wind power is derived by Weibull probability distribution function,and the electric vehicle uses a double-layer scheduling control strategy.The model takes full account of the power balance constraints,unit ramp constraints,spin reserves constraints,battery power constraints and uncertain owners' travel needs.For the characteristics of high dimensions,strong coupling and multi-constraint of the model,the MOEA/D algorithm and the NSMODE are adaptively.Finally,the model and algorithm are researched for different situations.The results verify the superiority of the proposed algorithm in dealing with complex dispatching problems,and the correctness and rationality of the established model.At the same time,the resulting dispatching schemes can well be protecting the environment and saving energy.
Keywords/Search Tags:Power system scheduling, Wind power, Electric vehicles, Multi-objective optimization
PDF Full Text Request
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