基于分级优化和改进灰狼优化算法的微网孤岛重构  

Microgrid Island Reconfiguration Based on Hierarchical Optimization and Improved Grey Wolf Optimization Algorithm

作　　者：顾俊瑜 王锡淮[1] 肖健梅[1] 许文俊 GU Junyu;WANG Xihuai;XIAO Jianmei;XU Wenjun(Logistics Engineering College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学物流工程学院,上海201306

出　　处：《控制工程》2025年第4期637-645,共9页Control Engineering of China

基　　金：国家自然科学基金资助项目(71771143)。

摘　　要：针对孤岛运行的微网无主网支撑,在发生故障时无法保证稳定运行的问题,提出了一种结合分级优化和灰狼优化算法的重构方法。该方法以重构时间最短为主要重构目标,网损最小和可断负荷赔偿成本最小作为次要重构目标,利用分级优化的思想将微网孤岛重构问题分为负荷开关重构和设备连接开关重构2个子问题,并针对传统灰狼优化算法易陷入局部最优的问题对其进行了改进。仿真结果表明,与结合分级优化的传统灰狼优化算法和粒子群优化算法、未结合分级优化的传统灰狼优化算法相比,所提方法的搜索能力更强、重构速度更快、重构结果更优。A reconfiguration method combining hierarchical optimization and grey wolf optimization algorithm is proposed to solve the problem that the microgrid operating in isolated island has no support from the main network and cannot guarantee stable operation when a fault occurs.The shortest reconstruction time is taken as the main goal of the reconstruction.The minimum network loss and the minimum cost of breaking load compensation are taken as the secondary goals.Based on the idea of hierarchical optimization,the microgrid island reconfiguration problem is divided into two sub-problems:load switch reconfiguration and equipment connection switch reconfiguration.Moreover,the conventional grey wolf optimization algorithm is improved to solve the problem that it is easy to fall into local optimal.The simulation results show that compared with the conventional grey wolf optimization algorithm and particle swarm optimization algorithm combined with hierarchical optimization,and conventional grey wolf optimization algorithm without hierarchical optimization,the proposed method has stronger search capability,faster reconfiguration speed and better reconfiguration results.

关 键 词：微电网 孤岛重构 分级优化 灰狼优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]