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The Optimal Dispatching For Virtual Power Plant With Electric Vehicles Integrated

Posted on:2019-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:B Y WangFull Text:PDF
GTID:2382330548470829Subject:Control theory and control engineering
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Recently,with fossil energy depletion,environment pollution and climate changes becoming serious,the government rapidly develops renewable energy generation to solve above issues.For this reason,the scale of renewable energy generation units grows in recent year.But,there are some problems following,such as the randomness,volatility and intermittency of renewable energy generation bring challenges for the grid operation.As the same time,with electric vehicles using increasingly,the randomness of power consumption on the load side is further enhanced,which brings challenges for the grid too.Virtual power plant(VPP)is used to solve above problems in this paper.Virtual power plant(VPP)can integrate geographically dispersed and various types of distributed renewable energy,energy storage(including electric vehicles energy storage)and traditional power plants.VPP can effectively utilize different power generation resources to improve power supplement reliability.In order to promote the grid connection of renewable energy generation,the load optimal dispatching for VPP with electric vehicles integrated is studied.Firstly,according to problems of randomness and intermittency of renewable energy generation,electric vehicles energy storage and controllable generation units are utilized to stabilize renewable energy generation.An economic optimal dispatching model for VPP with electric vehicles integrated is constructed.The economic operation strategy for VPP with electric vehicles integrated is designed.Particle swarm optimization(PSO)algorithm is applied to solve this model.The simulation indicates that through electric vehicles storage and controllable power generation coordination scheduling,VPP can make up for the deviation of renewable energy generation,reduce spinning reserve and improve the power supplement reliability.Secondly,in order to achieve the goal that the renewable energy generations need to meet the power constraints required by the grid,electric vehicles and super capacitor coordination scheduling scheme are applied to compensate the fluctuation of renewable energy generation.The optimal scheduling model for VPP with electric vehicles integrated in order to stabilize the fluctuation of renewable energy generation is proposed.The operation strategy for VPP with electric vehicles integrated is designed.And PSO algorithm is applied to get the capacity and output power of electric vehicles energy storage and super capacitor.The simulation shows that electric vehicles energy storage and super capacitor can assist renewable energy generation to meet the demand for fluctuation limits and reduce initial cost of super capacitor.And last,based on the range of renewable energy generation output deviation,VPP coordination dispatches storage system to assist renewable energy generation to reduce deviation.The day-ahead coordination scheduling model for VPP based on electric vehicles energy storage is proposed.The day-ahead coordination scheduling strategy for VPP based on electric vehicles energy storage is designed.The best output plan of power generations is gotten by PSO algorithm.The result is that compared with VPP making planned output curve in traditional way,VPP making planned output curve in optimization way could get low level of loss of load,abandoned wind power and photovoltaic power,but the economic benefit is low.The two strategies have their respective advantages and disadvantages,so the combination of two strategies for making planned output curve could get better effects.The combination method is that making planned output curve uses different strategies according to different time.The simulation shows that VPP making planned output curve in combined way could get better economic benefit than any strategy,and get low level of loss of load,abandoned wind power and abandoned photovoltaic power.
Keywords/Search Tags:virtual power plant, renewable energy, electric vehicle, energy storage, super capacitor, power generation cost, investment cost, day-ahead planned scheduling, minute scheduling, multi-objective optimization, particle swarm optimization algorithm
PDF Full Text Request
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