|
|
|
| Research on cascaded coordinated parameter tuning of PSS4B-type power system stabilizers |
| LEI Yang1, XIAO Qing2, WANG Xiang3, CHEN Binghong4, LIU Wenhao5 |
1. Xi’an Thermal Power Research Institute Co., Ltd, Xi’an 710054; 2. Xinjiang Wanneng Jiangbu Power Generation Co., Ltd, Changji, Xinjiang 831100; 3. Huaneng Chongqing Luohuang Power Generation Co., Ltd, Chongqing 402283; 4. Huaneng Chongqing Liangjiang Gas Turbine Power Generation Co., Ltd, Chongqing 400700; 5. Huaneng (Fujian) Energy Development Co., Ltd, Fuzhou Branch, Fuzhou 350000 |
|
|
|
|
Abstract This paper proposes a cascaded coordinated tuning topology for PSS4B stabilizers based on the complex-domain vector synthesis principle, aiming at minimizing weighted phase errors across the full frequency band. A cooperative optimization strategy featuring multi-chain parallel processing and intra-chain iterative refinement is designed, effectively overcoming strong parameter coupling and local optimum traps. The method integrates a modified particle swarm optimization (PSO) algorithm with adaptive inertia weights and an elite migration mechanism, enabling efficient exploration of over 50 PSS4B parameters. Simulations demonstrate that within the 0.01~2 Hz range, this approach significantly enhances damping performance and system stability, providing reliable theoretical tools and implementation guidelines for PSS4B engineering applications.
|
|
Received: 09 February 2026
|
|
|
|
| Cite this article: |
|
LEI Yang,XIAO Qing,WANG Xiang等. Research on cascaded coordinated parameter tuning of PSS4B-type power system stabilizers[J]. Electrical Engineering, 2026, 27(8): 28-33.
|
|
|
|
| URL: |
|
https://dqjs.cesmedia.cn/EN/Y2026/V27/I8/28
|
[1] 李艳梅, 魏巍, 肖龙, 等. 默蒂亚里-拉合尔工程低频振荡分析[J]. 电气技术, 2023, 24(6): 37-41. [2] 疏佳铭, 王凯, 马志恒, 等. 锡盟某电厂次同步振荡及SEDC与GTSDC联合抑制措施的研究与应用[J]. 电气技术, 2025, 26(7): 62-68. [3] Assi Obaid Z, Cipcigan L M, Muhssin M T.Power system oscillations and control: classifications and PSSs’ design methods: a review[J]. Renewable and Sustainable Energy Reviews, 2017, 79: 839-849. [4] Sarkar D U, Prakash T.Recurrent neural network based design of fractional order power system stabilizer for effective damping of power oscillations in multimachine system[J]. Engineering Applications of Artificial Intelligence, 2023, 126: 106922. [5] 郭思源, 刘海峰, 李理, 等. 基于混合粒子群算法的PSS4B参数优化研究[J]. 湖南大学学报(自然科学版), 2018, 45(4): 112-121. [6] 袁亚洲, 许其品, 徐蓉, 等. 基于RTDS的多频段电力系统稳定器效果验证[J]. 电力系统自动化, 2013, 37(18): 126-131. [7] 曾丕江, 黄润, 黄伟, 等. 基于等高线控制器波特图的多频段稳定器PSS4B迭代设计方法[J]. 南方电网技术, 2024, 18(11): 38-47. [8] 李松. 一种PSS4B模型中ω输入信号的计算方法研究[J]. 控制工程, 2019, 26(11): 2147-2151. [9] 黄伟, 刘蔚, 黄润, 等. PSS4B和PSS2B抑制云南电网超低频振荡分析[J]. 广西电力, 2022, 45(2): 13-21. [10] Nayak B P, Chelliah T R, Jena P.RTDS imple-mentation and stability analysis of PSS4B enabled large hydropower plant connected to a series com-pensated high voltage network[J]. IEEE Transactions on Industry Applications, 2024, 60(4): 5499-5509. [11] 刘东静, 李涛, 肖煜, 等. 基于改进粒子群优化算法-粒子滤波模型的IGBT寿命预测方法研究[J]. 电气技术, 2026, 27(1): 20-27, 34. |
|
|
|