Optimal design of multi-machine PSS parameters based on improved weighted average algorithm

LAN Fei; CHEN Zhenhua; LI Jinghua; TIAN Wei

doi:10.19783/j.cnki.pspc.251304

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Optimal design of multi-machine PSS parameters based on improved weighted average algorithm

更新时间：2026-07-19

- Optimal design of multi-machine PSS parameters based on improved weighted average algorithm
- Power System Protection and Control Vol. 54, Issue 14, (2026)
- 作者机构：
  
  广西电力系统最优化与节能技术重点实验室(广西大学),广西,南宁,530004
- 作者简介：
- 基金信息：
- DOI：10.19783/j.cnki.pspc.251304
  CLC：
- Published：2026
- 稿件说明：
移动端阅览
LAN Fei, CHEN Zhenhua, LI Jinghua, et al. Optimal design of multi-machine PSS parameters based on improved weighted average algorithm[J]. Power System Protection and Control, 2026, 54(14).
DOI：

LAN Fei, CHEN Zhenhua, LI Jinghua, et al. Optimal design of multi-machine PSS parameters based on improved weighted average algorithm[J]. Power System Protection and Control, 2026, 54(14). DOI： 10.19783/j.cnki.pspc.251304.

摘要

随着新能源高比例接入与电网规模扩张，电力系统低频振荡问题日益复杂。为克服传统电力系统稳定器(power system stabilizers

PSS)参数整定耗时、适应性差，及常规智能算法在高维多机寻优中效率不足的局限，提出一种基于改进加权平均算法(improved weighted average algorithm

IWAA)的PSS参数协调优化策略。该策略以加权平均算法(weighted average algorithm

WAA)在处理非线性约束问题时的优势为基础，针对其搜索策略固化与高维空间收敛慢的局限进行适应性改进。首先，引入二阶导数法(second-derivative method

SDM)-Prony算法辨识关键振荡模态以构建多维目标函数，并设计基于模态辨识的自适应“探索-开发”平衡策略。其次，融合Weibull飞行与准对立学习(quasi-oppositional based learning

QOBL)机制，以增强算法在高维空间中的全局搜索效率与初始种群多样性。IEEE四机两区域系统的仿真对比结果表明，经IWAA整定优化的PSS，能更有效地提升系统在多种运行工况下的阻尼水平与动态稳定性。

Abstract

With the increasing penetration of renewable energy and the continuous expansion of power grids

low-frequency oscillations in power systems have become increasingly complex. To overcome the limitations of conventional power system stabilizer (PSS) parameter tuning methods

including high computational burden

poor adaptability

and the inadequate optimization efficiency of traditional intelligent algorithms in high-dimensional multi-machine systems

a coordinated PSS parameter optimization strategy based on the improved weighted average algorithm (IWAA) is proposed. Building upon the advantages of the weighted average algorithm (WAA) in handling nonlinear constrained optimization problems

the strategy makes adaptive improvements to address its limitations of rigid search behavior and slow convergence in high-dimensional spaces. First

the second-derivative method (SDM)-Prony algorithm is employed to identify critical oscillation modes and construct a multi-dimensional objective function. An adaptive exploration-exploitation balancing strategy based on modal identification is then developed. Second

Weibull flight and quasi-oppositional based learning (QOBL) are integrated to enhance global search efficiency and the diversity of the initial population in high-dimensional search spaces. Simulation studies conducted on the IEEE four-machine two-area system demonstrate that the PSS parameters optimized by the proposed IWAA can more effectively improve system damping and dynamic stability under various operating conditions.

关键词

Keywords

references

YANG Z, WANG H, LIAO W, et al. Protection challenges and solutions for AC systems with renewable energy sources: a review[J]. Protection and Control of Modern Power Systems, 2025, 10(1): 18-39.

KUNDUR P. Power system stability and control[M]. New York: McGraw-Hill, 1994.

MA J, WANG H, ZHANG P. Renewed investigation on power system stabilizer design[J]. Science China Technological Sciences, 2011, 54(10): 2687-2693.

LAURIA D, MOTTOLA F, GIANNUZZI G, et al. Power systems stabilizers online tuning based upon parameters dynamic estimation[J]. Sustainable Energy, Grids and Networks, 2024, 39.

BAYOUMI E H E, SOLIMAN H M, EL-SHEIKHI F A. Decentralized robust power system stabilization using ellipsoid-based sliding mode control[J]. Energies, 2024, 17(17): 42-49.

CHITARA D, SINGHAL P K, SURANA S L, et al. Robust multi-machine power system stabilizer design using bio-inspired optimization techniques and their comparison[J]. International Journal of Electrical Power Energy Systems, 2024, 155.

CHENG J, DE WAELE W. Weighted average algorithm: a novel meta-heuristic optimization algorithm based on the weighted average position concept[J]. Knowledge-Based Systems, 2024, 305.

ESPINOZA-AUDELO L F, LEON-CASTRO E, OLAZABAL-LUGO M, et al. Using ordered weighted average for weighted averages inflation[J]. International Journal of Information Technology Decision Making, 2020, 19(2): 601-628.

IEEE. IEEE recommended practice for excitation system models for power system stability studies: IEEE Std 421.5—2016[S]. New York: IEEE, 2016.

NOCON A, PASZEK S. A comprehensive review of power system stabilizers[J]. Energies, 2023, 16(4).

HU S, MENG K, WU Z. A parameter-adaptive method for primary frequency regulation of grid-forming direct-drive wind turbines[J]. Sensors, 2024, 24(20).

IBRAHIM N M A, TALAAT H E A, SHAHEEN A M, et al. Optimization of power system stabilizers using proportional-integral-derivative controller-based antlion algorithm: experimental validation via electronics environment[J]. Sustainability, 2023, 15(11).

LIU F, LIN S, CHEN C, et al. Identification of mode shapes based on ambient signals and the IA-VMD method[J]. Applied Sciences, 2021, 11(2).

LI H, BU S, WEN J, et al. Synthetical modal parameters identification method of damped oscillation signals in power system[J]. Applied Sciences, 2022, 12(9).

ZHANG C, LIU M, ZHONG P, et al. An adaptive balance optimization algorithm and its engineering application[J]. Advanced Engineering Informatics, 2023, 55.

LAYEB A. Differential evolution algorithms with novel mutations, adaptive parameters, and Weibull flight operator[J]. Soft Computing, 2024, 28(11): 7039-7091.

ABDEL-SALAM M, ALZAHRANI A I, ALBLEHAI F, et al. An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems[J]. Knowledge-Based Systems, 2024, 302.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

风电并网系统小干扰概率稳定性分析与改善

基于阻尼系数灵敏度的风光电网动态交互分析与稳定提升方法

基于MSSA的PSS与UPFC-POD参数和 UPFC位置协调优化

逆变电源对风火/光火打捆送端电网低频振荡影响及其惯量匹配方法

Generator damping evaluation method based on oscillation energy consumption

Related Author

WANG Qian

FU Yang

LI Xuewu

GENG Yan

BIAN Xiaoyan

XU Zhixiong

LI Shenghu

Related Institution

XU Zhixiong(1. School of Electrical Engineering and Automation, Hefei University of Technology

Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University

China Electric Power Research Institute Co., Ltd.

DUAN Hui

AI问答

⁰