基于MPSO算法含电动汽车的微网优化调度  

Optimal Scheduling of Microgrid with Electric Vehicles Based on MPSO Algorithm

作　　者：马立新 徐嘉辉 杨天笑 MA Lixin;XU Jiahui;YANG Tianxiao(College of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学机械工程学院,上海200093

出　　处：《电网与清洁能源》2020年第8期116-122,共7页Power System and Clean Energy

基　　金：国家自然科学基金资助项目(61205076)。

摘　　要：在保证微网系统安全稳定运行的前提下,考虑风光储等分布式电源及电动汽车等随机负荷并网,以微网最低综合运行成本为目标,建立了含电动汽车的多能互补微网优化模型。提出了一种改进粒子群算法(MPSO),通过仿真分析证明了该方法在包含电动汽车等随机负荷的多能互补微网中,能够快速收敛得到最优运行方案,显著降低了微网运行的成本,具有较好的实际应用意义。On the premise of ensuring the safe and stable operation of the micro-grid system,a multi-energy complementary microgrid optimization model for electric vehicles is established in this paper.An improved mutation particle swarm optimization(MPSO)algorithm is proposed,considering the grid-connection of the distributed power supply such as wind power storage and random loads such as electric vehicles,aiming at the optimal operation scheme of the microgrid.Through scientific modeling and simulation analysis,it is proved that the method proposed in the paper can quickly converge to get the optimal operation scheme in the multienergy complementary microgrid containing random loads such as electric vehicles and significantly reduce the operation cost of the microgrid,therefore it is of good practical significance.

关 键 词：分布式能源 电动汽车 微网优化 改进粒子群算法 蒙特卡罗模拟 多能互补 

分 类 号：TM73[电气工程—电力系统及自动化]