一种用于STATCOM控制器的强化学习方法

H. Guo, Y.Q. Liu, J. Wu, J.M. Yang
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引用次数: 4

摘要

先进的静态同步补偿器(STATCOM)是一种能够对母线电压提供无功支持的器件。提出了一种新的基于强化学习算法的控制方案。提出的STATCOM控制器设计不依赖于电力系统的结构和参数。本文采用自适应启发式评判算法,根据给定的系统强化信号来更新控制器的参数。只需要本地信息。最后给出了单机无限电力系统的仿真实例,结果表明了该方法在维持电压和防止电压崩溃方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reinforcement learning approach to STATCOM controller
The advanced static synchronous compensator (STATCOM) is a device that can provide reactive support to bus voltage. A novel control scheme based on reinforcement learning algorithm for the STATCOM is presented in this paper. Design of STATCOM controller presented does not depend on structure and parameters of power system. The adaptive heuristic critic algorithm is adopted in this paper and the parameter of the controller are updating by given reinforcement signal of system. Only local information is required. A simulation example of single-machine infinite power system is given, and the result shows the effectiveness on maintaining voltage and preventing voltage collapse.
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