基于改进多目标灰狼算法的微电网优化调度  

Optimization of microgrid scheduling based on improved Multi-objective Gray Wolf algorithm

作　　者：白隆 俞斌 高峰[1,2] 徐婕 顾晋豪 BAI Long;YU Bin;GAO Feng;XU Jie;GU Jin-hao(School of Automation,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Automation,Wuxi University,Wuxi 214105,Jiangsu Province,China)

机构地区：[1]南京信息工程大学自动化学院,南京210044 [2]无锡学院自动化学院,江苏无锡214105

出　　处：《信息技术》2025年第4期89-96,共8页Information Technology

摘　　要：针对微电网运行成本、能源管理和环境保护等问题,文中提出了一种并网模式下微电网优化调度的模型。首先,在考虑各类约束条件的前提下,建立以微电网运行维护和环境治理成本最小化的目标函数;其次,引入多目标灰狼算法(MOGWO),并对其进行Tent混沌映射、非线性收敛因子和莱维飞行策略的多方面改进,将改进后的算法(IMOGWO)应用于求解各微源的最佳输出方案。仿真结果表明,算法改进后与改进前相比,IMOGWO能更有效降低运行维护成本和环境污染治理成本,提高可再生能源的利用率,实现微电网的优化调度。To solve the problems of microgrid operation cost,energy management and environmental protection,this paper presents an optimal scheduling model of microgrid in grid-connected mode.Firstly,under the premise of various constraints,an objective function is established to minimize the cost of microgrid operation,maintenance and environmental governance.Secondly,the Multi-Objective Gray Wolf algorithm(MOGWO)is introduced,which is improved by Tent chaos mapping,nonlinear convergence factor and Levy flight strategy.The improved algorithm(IMOGWO)is applied to solve the optimal output scheme of each micro-source.The simulation results show that IMOGWO can reduce the operation and maintenance cost and environmental pollution control cost more effectively,improve the utilization rate of renewable energy,and realize the optimal scheduling of microgrid.

关 键 词：微电网 优化调度 多目标 灰狼算法 

分 类 号：TM732[电气工程—电力系统及自动化]