用神经模糊控制改善单机系统暂态稳定性

A. Marjanian, E. Jafari
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引用次数: 3

摘要

本文通过设计静态同步补偿器(STATCOM)的非线性控制器来改善单机系统的暂态状态。通过得到系统中存在补偿器时的Lyapunov函数,设计了满足Lyapunov稳定判据的控制器,使单机系统的暂态稳定裕度增大,振荡减小。针对具有无限母线的单机(SMIB),提出了能量函数(EFC)、模糊控制器(FC)和神经模糊控制器(NFC)三种控制方法,并考虑了每种控制方法对电力系统稳定性的增强效果。仿真结果证实了神经模糊控制器在改善故障发生后系统暂态状态方面的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transient stability improvement with Neuro-Fuzzy control of STATCOM in single-machine system
In this paper, the goal is the improvement of transient condition in a single-machine system with designing of the nonlinear controllers for static Synchronous Compensator (STATCOM). By obtaining the Lyapunov function in presence of compensator in the system, some controllers are designed for it which by satisfying the Lyapunov stability criteria will increase the margin of transient stability and decrease the oscillation in the single machine system. For single machine with infinite bus (SMIB), three control methods of energy function (EFC), Fuzzy controller (FC) and Neuro-Fuzzy controller (NFC) presented and considered the effect of each of the above mentioned control methods of power system stability enhancement. The results of the simulations confirm the Neuro-Fuzzy controller ability in the improvement of the system transient conditions after occurrence of the fault.
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