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Wide-area power system stabilizer design based on Grey Wolf Optimization algorithm considering the time delay

机译:考虑时滞的基于灰狼优化算法的广域电力系统稳定器设计

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This paper proposes a method for designing wide-area power system stabilizer (WAPSS) based on the Grey Wolf Optimization (GWO) algorithm. The stabilizer is used to damp the inter-area oscillations by considering the communication latency which is related to the remote feedback signals. For this reason, a new multi-objective function is proposed for the design of the WAPSS. In this function, in addition to improving the stability of the system by displacing the critical modes, the stabilizer is designed in the minimum-phase with a less control gain. In this method, the maximum delay margin in which the closed-loop power system can remain stable can also be optimally identified.
机译:提出了一种基于灰狼优化(GWO)算法的广域电力系统稳定器(WAPSS)设计方法。该稳定器用于通过考虑与远程反馈信号相关的通信延迟来衰减区域间振荡。因此,为WAPSS的设计提出了一种新的多目标函数。在此功能中,除了通过替换临界模式来提高系统的稳定性之外,稳定器还以最小相位设计,具有较小的控制增益。在该方法中,还可以最佳地确定闭环电力系统可以保持稳定的最大延迟裕度。

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