现代电子技术2024，Vol.47Issue(8)：126-130,5.DOI:10.16652/j.issn.1004-373x.2024.08.020
基于蛇优化算法的电力系统无功优化
Power system reactive power optimization based on snake optimization algorithm
摘要
Abstract
Reactive power optimization is of great significance in power systems,which can improve the power factor,reduce active power losses,and improve voltage stability.The snake optimization algorithm has the characteristics of global search ability and fast convergence,which is applied as a new optimization method to reactive power optimization.A reactive power optimization model is established with terminal voltage,transformer ratio,and reactive power compensation as system control variables,with the goal of minimizing network losses.By using a 57 node system,the snake optimization algorithm is compared and validated with particle swarm optimization and improved particle swarm optimization algorithms,respectively.The experimental results show that the snake optimization algorithm can effectively optimize the reactive power of the power system,improve system performance and stability.关键词
电力系统/蛇优化算法/无功优化/功率损耗/57节点系统/算法对比Key words
power system/snake optimization algorithm/reactive power optimization/power loss/57 node system/algorithm comparison分类
信息技术与安全科学引用本文复制引用
彭琦,涂建,高珍,陈恒,潘成勇..基于蛇优化算法的电力系统无功优化[J].现代电子技术,2024,47(8):126-130,5.基金项目
协同控制理论在电力系统稳定性分析中的应用研究(B2019130) （B2019130）
