摘要
在分析风电和电动汽车发展形势的基础上,提出将电动汽车充换电站视作储能电站引入电网调度,为含有风电场的系统提供备用。通过对风电出力和充换电站可用容量的预测,考虑风电和充换电站建立经济调度模型,提出模型优化策略,并采用粒子群优化算法(PSO)求解。通过算例验证了模型和算法的正确性和有效性。
Based on an analysis of the wind power and electric vehicle development,it is proposed to regard the battery swap stations as energy storage power stations and use grid dispatch to provide reserve for the power systems containing wind farms.Through prediction of wind power output and the battery swap station＇s usable capacity,a new economic dispatch model is proposed in this paper with consideration of wind power and battery swap stations and the model optimization strategies are advanced.The particle swarm optimization （PSO） method is adopted to solve the model.The correctness and effectiveness of the model and algorithm are verified via a case study.
出处
《中国电力》
CSCD
北大核心
2013年第11期84-88,93,共6页
Electric Power
基金
国家自然科学基金资助项目(51177047)
中央高校基本科研专项资金资助项目(12MS107)
关键词
经济调度
电动汽车
充换电站
风力发电
粒子群算法(PSO)
economic dispatch
electric vehicle
battery swap station
wind power
particle swarm optimization （PSO）
