计算机技术与发展2025，Vol.35Issue(11)：204-213,10.DOI:10.20165/j.cnki.ISSN1673-629X.2025.0175
基于改进哈里斯鹰算法的PSS参数优化策略
Parameter Optimization Strategy for Power System Stabilizer Based on Improved Harris Hawks Optimization
摘要
Abstract
The Power System Stabilizer(PSS)can effectively suppress low-frequency oscillations during power system operation,making the rational configuration of PSS parameters critically important.We propose a PSS parameter optimization strategy based on an Improved Harris Hawks Optimization(IHHO)algorithm.Firstly,the algorithm employs an opposition-based learning strategy to optimize the initial population,enabling broader coverage of the solution space during initialization and preventing convergence to local optima.Secondly,a smoothing technique is introduced during the search phase to effectively reduce jumping amplitudes in the search process,mitigating drastic fluctuations in individual search trajectories and thereby enhancing the algorithm's global exploration capability.Finally,a dynamic adaptive escape energy adjustment strategy is implemented to flexibly coordinate the time allocation between global and local searches,which strengthens the algorithm's robustness while avoiding premature convergence and local optimum entrapment.Experimental results demonstrate that the IHHO algorithm exhibits superior precision,stability,and time efficiency,providing a novel solution approach for PSS parameter optimization problems.关键词
哈里斯鹰算法/励磁系统/电力系统稳定器/参数优化/平滑技术/动态自适应逃逸能量调整策略Key words
Harris hawks optimization/excitation system/power system stabilizer/parameter optimization/smoothing technique/dynamic adaptive escape energy adjustment strategy分类
计算机与自动化引用本文复制引用
侯凯,张志高,何信林,燕翔,张岗,赵学健..基于改进哈里斯鹰算法的PSS参数优化策略[J].计算机技术与发展,2025,35(11):204-213,10.基金项目
国家自然科学基金(62303239) （62303239）
中国华能集团有限公司科技项目(HNKJ22-H88) （HNKJ22-H88）
