摘要
随着智能电网的快速发展,含充电站的社区微网既能满足常规负荷的需求,也能满足电动汽车的充电需求。针对计及电动汽车和光伏-储能的社区微网进行能量优化调度问题进行探讨,提出了兼顾光伏出力、电动汽车充电功率及储能充放电状态的微网能量管理策略。在此基础上,建立了以电动汽车充电功率为优化变量,减少购电费用、蓄电池的循环电量最少以及微网内总负荷的峰谷差最小的多目标帕累托优化模型,并采用NSGA-Ⅱ算法进行求解。最后仿真验证了所提策略的合理性。
With the rapid development of smart grid, community micro-grid with charging stations can meet the demands of both conventional load and charging of electric vehicles. This paper discusses the optimal scheduling of energy in the community micro-grid of electric vehicles and photovoltaic energy storage, and proposes a micro grid energy management strategy that takes into account photovoltaic output, charging power of electric vehicles and charge-discharge state of energy storage. On this basis, the multi-objective Pareto Optimization Model is established, which takes the charging power of the electric vehicles as optimization variables, reduces the electricity purchasing cost and makes the cyclic battery power and the peak-valley difference of total load in the grid least. It is solved by using the NSGA-Ⅱalgorithm. Finally, the simulation verifies the rationality of the proposed strategy.
作者
陈理宁
杨俊杰
CHEN Lining;YANG Junjie(Electronic and Information Engineering College,Shanghai University of Electric Power,Shanghai 200090,China;Shanghai Dianji University,Shanghai 201306,China)
出处
《仪表技术》
2020年第2期10-13,共4页
Instrumentation Technology
关键词
社区微网
电动汽车
能量管理
帕累托优化
community micro network
electric cars
energy management
Pareto optimization
