Improving power grids transient stability via Model Predictive Control

A. Bonfiglio, A. Oliveri, R. Procopio, F. Delfino, G. Denegri, M. Invernizzi, M. Storace
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引用次数: 21

Abstract

This paper proposes the application of Model Predictive Control (MPC) to ensure the stability of an electric grid following fault conditions. The technique is firstly described as a general tool; subsequently, the chosen model of the power system is detailed together with the specific requirements to be met by the control algorithm. Finally, the application of MPC strategy to a WECC (Western Electricity Coordinating Council) test case network shows that the effects of a contingency, that would bring the system to instability without any external action, are mitigated by the control action, leading the network to a new working point, as close as possible to the previous one and, most of all, without exceeding the stability limits.
利用模型预测控制提高电网暂态稳定性
本文提出应用模型预测控制(MPC)来保证电网在故障条件下的稳定性。该技术首先被描述为一种通用工具;随后,详细介绍了电力系统模型的选择,以及控制算法要满足的具体要求。最后,MPC策略在WECC(西部电力协调委员会)测试用例网络中的应用表明,在没有任何外部作用的情况下导致系统不稳定的突发事件的影响,通过控制作用得到缓解,将网络引导到一个新的工作点,尽可能接近前一个,最重要的是,不超过稳定极限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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