基于自适应变惯性权重精英变异粒子群算法的微电网优化调度研究  

Research on optimal dispatching of microgrid based on adaptive variable inertia weight elite mutation particle swarm optimization algorithm

作　　者：戴文俊 胡艳丽 DAI Wenjun;HU Yanli(School of Mechanical and Electrical Engineering,Huainan Normal University,Huainan 232038,China)

机构地区：[1]淮南师范学院机械与电气工程学院,安徽淮南232038

出　　处：《长春工业大学学报》2023年第4期328-334,共7页Journal of Changchun University of Technology

基　　金：教育部产学合作协同育人项目(220906517261925);淮南师范学院自然科学研究重点项目(2022XJZD026)。

摘　　要：为优化并网型微电网经济运行,编制合理的日运行计划,构建含购电费用、燃料费用和环境成本的多目标调度模型。提出一种自适应变惯性权重精英变异粒子群算法求解模型,该算法根据粒子间距动态调整惯性权重并融合精英变异策略以克服早熟收敛。通过测试函数和微电网调度运行算例仿真实验表明,该算法具有较高的精度且编制发电计划的费用最低。In order to optimize the economic operation of grid-connected micro-grid,a multi-objective scheduling model is developed to create a reasonable daily operation plan considering the costs of purchasing electricity,fuel,and environmental factors.An adaptive variable inertia weight elite mutation particle swarm optimization algorithm is proposed to solve the model.This algorithm dynamically adjusts the inertia weight based on the distance between particles and incorporates the elite mutation strategy to overcome premature convergence.Simulation experiments on test functions and micro-grid scheduling cases demonstrate that the algorithm has high accuracy and achieves the lowest cost in generating power generation plans.

关 键 词：微电网 优化调度 自适应精英变异 粒子群优化算法 

分 类 号：TM734[电气工程—电力系统及自动化]