一种新的基于强化学习的火电系统自动发电控制器

T. Ahamed, P. S. Sastry, P. Rao
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引用次数: 2

摘要

最近,我们提出了一种基于强化学习(RL)的方法来设计两区电力系统的自动发电控制器(Ahamed, T.P.I.等人,《电力系统研究》,vol.63, p.9-26, 2002),我们在一个相同的、简单的两区模型上证明了该方法的有效性。本文旨在演示一种更简单的替代RL-AGC设计。通过考虑动力学比先前考虑的系统更复杂的水热系统来证明其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new reinforcement learning based automatic generation controller for hydro-thermal power systems
Recently, we proposed a reinforcement learning (RL) based approach for designing an automatic generation controller for a two-area power system (Ahamed, T.P.I. et al., Electric Power Systems Research, vol.63, p.9-26, 2002), where we demonstrated the efficacy of the approach on an identical, simple, two-area model. This paper aims to demonstrate an alternative RL-AGC design which is simpler. Its effectiveness is demonstrated by considering a hydro-thermal system whose dynamics are more complicated than the system considered previously.
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