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PID Type Stabilizer Design Using Grey Wolfe Optimization Algorithm

机译:基于灰色沃尔夫优化算法的PID型稳定器设计

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In this paper Grey Wolfe (GW) optimization algorithm is proposed for optimal tuning of PID based stabilizer. The time domain based objective function is considered for the robustly PID parameters tuning problem under a wide range of operating conditions. The optimization problem is solved by the GW Algorithm (GWA) which provides robust and desirable solutions. Results evaluation on a Single Machine connected to Infinite Bus (SMIB) confirm an excellent capability of the GWA based tuned PID to stabilize power system in comparison to the invasive weed optimization based PID controller for different operating conditions. Also, overshoot, undershoot, settling time and some system performance indices are calculated for two PID based stabilizers, and results prove that the proposed GWA method is better than IWA based PID stabilizer.
机译:在本文中,提出了基于PID稳定器的最佳调谐,提出了灰狼(GW)优化算法。基于时域的目标函数被认为是在各种操作条件下的强大PID参数调谐问题。优化问题由GW算法(GWA)解决,其提供坚固且理想的解决方案。结果在连接到无限总线(SMIB)的单个机器上的评估证实了GWA基于GWA的调谐PID的优异能力,以稳定电力系统,与基于侵入性杂草优化的PID控制器进行不同的操作条件。此外,对两个PID的稳定器计算了过冲,uch,Soldling Time和一些系统性能指标,并且结果证明了所提出的GWA方法优于基于IWA的PID稳定器。

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