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

作　　者：彭琦 涂建 高珍 陈恒 潘成勇 PENG Qi;TU Jian;GAO Zhen;CHEN Heng;PAN Chengyong(College of Electrical Engineering and Automation,Hubei Normal University,Huangshi 435002,China)

机构地区：[1]湖北师范大学电气工程与自动化学院,湖北黄石435002

出　　处：《现代电子技术》2024年第8期126-130,共5页Modern Electronics Technique

基　　金：协同控制理论在电力系统稳定性分析中的应用研究(B2019130)。

摘　　要：无功优化在电力系统中具有重要的意义,可以提高系统的功率因数,减少有功损耗并改善电压稳定性。蛇优化算法具有全局搜索能力和快速收敛的特点,故将该算法作为一种新的优化方法运用到无功优化中,建立以机端电压、变压器变比和无功补偿量为系统控制变量,以网络损耗最小为目标的无功优化模型。通过采用57节点系统,将蛇优化算法与粒子群算法、改进粒子群算法分别进行比较验证。实验结果表明,蛇优化算法能够有效地优化电力系统的无功功率,提高系统的性能和稳定性。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 

分 类 号：TN929.5-34[电子电信—通信与信息系统] TM71[电子电信—信息与通信工程]