Zhang Chao, Chang Xucheng, Dai Jun, Chen Zhiqiang, Babanezhad Manoochehr
Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan, China.
Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Golestan, Iran.
Sci Rep. 2025 Jan 13;15(1):1773. doi: 10.1038/s41598-025-85524-y.
In this paper, explore the effectiveness of a new Wide Area Fuzzy Power System Stabilizer (WAFPSS), optimized using the Exponential Distribution Optimization (EDO) algorithm, and applied to an IEEE three-area, six-machine power system model. This research primarily focuses on assessing the stabilizer's capability to dampen inter-area oscillations, a critical challenge in power grid operations. Through extensive simulations, the study demonstrates how the WAFPSS enhances stability and reliability under a variety of operational conditions characterized by different communication delay patterns. The application of the proposed stabilizer on this specific IEEE model provides a detailed insight into its performance in real-world scenarios, illustrating its adaptability and effectiveness in managing dynamic disturbances. The simulation results reveal that the proposed WAFPSS achieves significant reductions in the Integral Time Squared Error (ITSE), with improvements of 94.1%, 97.02%, and 98.18% in three distinct cases, showcasing its superior damping capability and robustness. The findings indicate that the advanced optimization techniques provided by the EDO algorithm significantly improve the stabilizer's response, ensuring robust power system performance. This integration of WAMS with sophisticated control systems using fuzzy logic presents a strategic solution to managing the complexities faced by modern power networks, optimizing their stability in the face of increasing renewable integration and fluctuating demand.
本文探讨了一种新型广域模糊电力系统稳定器（WAFPSS）的有效性，该稳定器采用指数分布优化（EDO）算法进行优化，并应用于IEEE三区域、六机电力系统模型。本研究主要聚焦于评估该稳定器抑制区域间振荡的能力，这是电网运行中的一项关键挑战。通过大量仿真，该研究展示了WAFPSS在各种以不同通信延迟模式为特征的运行条件下如何增强稳定性和可靠性。所提出的稳定器在这个特定的IEEE模型上的应用，详细洞察了其在实际场景中的性能，说明了其在管理动态干扰方面的适应性和有效性。仿真结果表明，所提出的WAFPSS在积分时间平方误差（ITSE）方面有显著降低，在三种不同情况下分别提高了94.1%、97.02%和98.18%，展示了其卓越的阻尼能力和鲁棒性。研究结果表明，EDO算法提供的先进优化技术显著改善了稳定器的响应，确保了电力系统的稳健性能。将广域测量系统（WAMS）与使用模糊逻辑的复杂控制系统相结合，为应对现代电网面临的复杂性提供了一种战略解决方案，在可再生能源接入不断增加和需求波动的情况下优化其稳定性。
