摘要
Abstract
In order to promote the development of electric vehicles in rural areas,it is urgent to plan the charging facilities of electric vehicles in the county level rural power grid reasonably,and optimize the reactive power of stability issues caused by electric vehicles and distributed photovoltaics in the rural power grid.Firstly,combined with travel chain theory and rural user travel habits,it uses Monte Carlo simulation to predict the charging load of electric vehicles at demand points,and conducts photovoltaic uncertainty modeling.Then,a multi-objective bilevel programming model is established,with the upper level model considering economy and the objective function being the lowest annual total cost of the entire society.The lower level model considers safety and the objective functions is the lowest active power loss and voltage offset of the rural power grid.Secondly,the Voronoi diagram and improved particle swarm optimization algorithm are used to jointly solve the problem,fully utilizing the global random optimization ability of particle swarm algorithm and the local optimization characteristics of Voronoi diagram,thereby achieving accurate solution of the model.Finally,a simulation is conducted in a certain county planning area,and the simulation results show that the proposed model can guide the planning of electric vehicle charging stations in rural power grids.Through reactive power optimization,it can reduce the power grid losses,improve the voltage quality,and achieve the dual requirements of economy and safety.关键词
电动汽车/县域农网/选址定容/无功优化/分布式光伏Key words
electric vehicles/rural power grid/site selection and capacity determination/reactive power optimization/distributed photovoltaics分类
信息技术与安全科学
