在智能电网中使用基于PMU测量的电力系统模型识别和抑制低频振荡
Mohd Zuhaib1,2, Mohd Rihan2, Saket Gupta3
1Department of Electrical Engineering, GLA University, Mathura, Uttar Pradesh, India.
Scientific reports
|January 30, 2025
概括
本研究介绍了一种使用广域监测系统 (WAMS) 和相位测量单元 (PMU) 来检测和减轻电网中低频振荡 (LFO) 的方法. 该方法有效地抑制了强制和区域间的振荡,从而提高了电网稳定性.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 控制理论 控制理论
背景情况:
- 低频振荡 (LFO) 是大型互联电力系统中常见的挑战,可能会损害运行可靠性.
- 有效的检测和缓解策略对于保持稳定的电力系统运行至关重要.
- 现有的方法可能缺乏动态振荡管理所需的实时精度.
研究的目的:
- 开发和介绍一种强大的方法来识别和减轻强制和区域间的低频振荡.
- 利用广域监测系统 (WAMS) 和相位测量单元 (PMU) 进行增强的实时电力系统监控和控制.
- 通过精确的振荡源识别,提高广域缓控制器 (WADC) 的性能.
主要方法:
- 使用基于WAMS的电力系统模型,结合相位测量单元 (PMU) 进行实时数据采集.
- 开发模型以准确识别导致低频振荡的发电机的行为和位置.
- 实施比例共振动力系统稳定器 (PR-PSS) 作为控制策略来缓解振荡.
主要成果:
- 拟议的基于WAMS的模型准确地识别了实时贡献LFO的发电机行为和位置.
- PR-PSS有效地抑制了强制和区域间振荡模式.
- 通过WAMS测量和PR-PSS的缓冲结构,证明了在缓解LFO方面显著的有效性.
结论:
- 开发的方法提供了一种有效的手段来检测和减轻电力系统中的低频振荡.
- 集成WAMS,PMU和PR-PSS提供了一个强大的解决方案,以提高电力系统的稳定性和可靠性.
- 实时监控和先进的控制策略对于管理现代电网中复杂的振荡动态至关重要.
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