摘要
大量电动汽车入网无序充电会给电网稳定性和可靠性造成不利影响。考虑到电动汽车充放电,以及蓄电池损耗成本和峰谷电价对微电网运行产生的影响,建立以微电网运行成本和环境保护成本最小化为目标的微电网调度模型。应用基于差分进化的改进多目标免疫算法对模型进行优化。通过算例仿真,对比分析在微电网环境下电动汽车无序和有序的调度模式,证明了电动汽车的有序充放电对微电网的经济效益和环境保护效益有积极的作用,验证了基于差分进化的改进多目标免疫算法在调度优化上的有效性。
The disorderly charging of a large number of electric vehicles into the grid will adversely affect the stability and reliability of the grid.Taking into account the impact of the charging and discharging of electric vehicles,the cost of battery loss and the influence of peak-valley price on the operation of the microgrid,a microgrid dispatching model with the goal of minimizing microgrid operating costs and environmental protection costs is established.The improved multi-objective immune algorithm based on differential evolution is used to optimize the model.Through example simulation,comparative analysis of the disorderly and orderly dispatching modes of electric vehicles in the microgrid environment is carried out,and it is proved that the orderly charging of electric vehicles has a positive effect on the economic and environmental benefits of the microgrid.And it is verified that improved multi-objective immune algorithm based on differential evolution is effective in scheduling optimization.
作者
唐菁敏
王杰
刘思淼
TANG Jingmin;WANG Jie;LIU Simiao(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处
《电力科学与工程》
2021年第2期25-31,共7页
Electric Power Science and Engineering
基金
国家自然科学基金(61761025)。
关键词
有序充电
峰谷电价
微电网
多目标优化
orderly charging
peak-valley price
microgrid
multi-objective optimization
