通过协调风力轮机电压调节器和使用GOOSE优化优化器的滞电力系统稳定器来提高电力系统的稳定性
Nader M A Ibrahim1, Attia A El-Fergany2, Bassam A Hemade3
1Department of Electrical, Faculty of Technology and Education, Suez University, P.O. Box: 43221, Suez, Egypt. nader.ibrahem@suezuni.edu.eg.
Scientific reports
|April 30, 2025
概括
这项研究优化了风力轮机电压调节器和电力系统稳定器,使用GOOSE优化算法来提高电网稳定性. 澳大利亚政府显著提高了协调和性能,在各种故障场景中表现优于其他方法.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 整合可再生能源的整合
背景情况:
- 风能集成对电力系统的稳定性构成挑战,原因是振荡阻尼降低.
- 现有的风力轮机电压调节器 (WT VRs) 和电力系统稳定器 (PSS) 往往缺乏有效的协调.
研究的目的:
- 使用GOOSE优化算法 (GOA) 优化和协调WT PI-VR和PI型LL-PSS收益.
- 通过集成可再生能源来提高电力系统的整体稳定性和性能.
主要方法:
- 使用GOOSE优化算法 (GOA) 进行增益优化.
- 将GOA与Osprey优化算法 (OOA) 和粒子集群优化器 (PSO) 进行比较.
- 在各种故障条件下对PI型LL-PSS与PID-PSS配置进行评估.
主要成果:
- 澳大利亚政府表现出显著的改进:稳定性提升48.85% (与OOA,PID-PSS相比),性能提升24.40% (与OOA,PI型LL-PSS相比),性能提升14.4% (PI型LL-PSS与PID-PSS相比),性能提升34.23% (与PSO相比).
- 使用ITAE评估的稳定性,沉降时间和在步骤变化,电压下降和短路故障下标准偏差.
结论:
- 拟议的以阿联政府为基础的协调战略有效地提高了电力系统的稳定性和性能.
- 优化的PI型LL-PSS为整合风能提供了强大的解决方案.
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