通过使用GOOSE优化协调风力涡轮机电压调节器和超前-滞后电力系统稳定器来增强电力系统稳定性。

Enhancing power system stability by coordinating a wind turbine voltage regulator and lead-lag power system stabilizer using GOOSE optimization.

作者信息

Ibrahim Nader M A, El-Fergany Attia A, Hemade Bassam A

机构信息

Department of Electrical, Faculty of Technology and Education, Suez University, P.O. Box: 43221, Suez, Egypt.

Electrical Power and Machines Department, Zagazig University, Zagazig, 44519, Egypt.

出版信息

Sci Rep. 2025 Apr 30;15(1):15242. doi: 10.1038/s41598-025-97419-z.

DOI:10.1038/s41598-025-97419-z

PMID:40307253

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12043978/

Abstract

Integrating wind energy into power systems can negatively impact stability by reducing oscillation damping. Wind Turbine Voltage Regulators (WT VRs) are designed to manage reactive power and maintain voltage stability; however, they often do not coordinate effectively with Power System Stabilizers (PSS) from synchronous generators (SG). This study utilizes the GOOSE Optimization Algorithm (GOA) to optimize and coordinate the gains of the WT proportional-integral virtual regulator (WT PI-VR) and the SG proportional-integral-type lead-lag PSS (PI-type LL-PSS), to enhance power system stability and performance. The GOA performance compared with the Osprey Optimization Algorithm (OOA) and Particle Swarm Optimizer (PSO). The PI-type LL-PSS performance is compared with proportional-integral-derivative PID-PSS configurations, highlighting its robustness. Testing scenarios include step changes, voltage sags, and three-phase short-circuit faults, using metrics like integral time absolute error, settling time, and standard deviation for robustness evaluation. Statistical analysis shows several benefits from the proposed methodology: (i) A 48.85% stability improvement in coordinating WT PI-VR with PID-PSS using GOA versus OOA, (ii) A 24.40% performance boost with GOA over OOA using PI-type LL-PSS, (iii) A 14.4% enhancement when coordinating WT PI-VR with PI-type LL-PSS compared to PID-PSS, and (iv) A 34.23% performance increase using GOA instead of PSO for coordinating WT PI-VR with PI-type LL-PSS.

摘要

将风能整合到电力系统中可能会通过降低振荡阻尼对稳定性产生负面影响。风力涡轮机电压调节器（WT VRs）旨在管理无功功率并维持电压稳定性；然而，它们通常无法与同步发电机（SG）的电力系统稳定器（PSS）有效协调。本研究利用鹅群优化算法（GOA）来优化和协调WT比例积分虚拟调节器（WT PI-VR）和SG比例积分型超前滞后PSS（PI型LL-PSS）的增益，以提高电力系统的稳定性和性能。将GOA的性能与鱼鹰优化算法（OOA）和粒子群优化器（PSO）进行了比较。将PI型LL-PSS的性能与比例积分微分PID-PSS配置进行了比较，突出了其鲁棒性。测试场景包括阶跃变化、电压骤降和三相短路故障，使用积分时间绝对误差、调节时间和标准偏差等指标进行鲁棒性评估。统计分析表明，所提出的方法有几个好处：（i）与OOA相比，使用GOA协调WT PI-VR与PID-PSS时稳定性提高了48.85%，（ii）使用PI型LL-PSS时，GOA比OOA的性能提高了24.40%，（iii）与PID-PSS相比，协调WT PI-VR与PI型LL-PSS时性能提高了14.4%，以及（iv）使用GOA而不是PSO协调WT PI-VR与PI型LL-PSS时性能提高了34.23%。