使用海洋捕食者算法进行增强的电力系统稳定器调整,并进行比较分析和实时验证
Intissar Hattabi1, Aissa Kheldoun2, Rafik Bradai3
1SET Laboratory, Electrical and Control Department, Faculty of Technology, Blida 1 University, 09000, Blida, Algeria.
Scientific reports
|November 23, 2024
概括
海洋捕食者算法 (MPA) 有效调整电力系统稳定器 (PSS),以减少低频振荡. 调整为MPA的PSS显著优于其他方法,提高了电力系统的稳定性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 计算智能是一种计算智能.
背景情况:
- 低频振荡 (LFO) 是现代电力系统的一个重大问题,可能导致不稳定.
- 动力系统稳定器 (PSS) 是缓解这些振荡的关键控制装置.
- 超启发式算法为调整PSS参数提供了高级优化功能.
研究的目的:
- 实施和评估海洋捕食者算法 (MPA) 以优化电力系统稳定器 (PSS) 参数.
- 为了增强各种动力系统测试模型中低频振荡的阻尼.
- 将MPA的性能与其他领先的元启发算法进行比较.
主要方法:
- 海洋捕食者算法 (MPA) 用于调整PSS参数.
- 对单机无限总线 (SMIB),WSCC和新英格兰10台39个总线的动力系统进行了模拟.
- 性能与粒子优化 (PSO),鱼优化算法 (WOA) 和使用各种健身功能的其他算法进行了评估.
- 实时数字模拟 (CU-SLRT Std) 和硬件在循环 (HIL) 实现验证了结果.
主要成果:
- 与其他算法相比,MPA优化的PSS在抑制低频振荡方面表现优越.
- 改进达到高达98.62%的PSO, 71.79%的WOA和78.04%的非洲优化算法 (AVOA).
- 在多个测试系统和通过HIL的验证证实了MPA方法的稳定性和有效性.
结论:
- 海洋捕食者算法 (MPA) 是调整PSS参数以提高电力系统稳定性的高效方法.
- 在抑制低频振荡方面,MPA具有显著的优势,其性能优于已有的优化技术.
- 该研究通过实时和HIL实现验证了MPA的实际适用性.
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