虚拟发电部落发电调度的分散强化学习协同共识算法

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI:10.1109/IAEAC.2015.7428749

Li Qing, Zhang Xiaoshun, Pan Zhenning, Tan Min, Guo Lexin, Y. Tao, Liu Qianjin, Feng Yongkun

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引用次数: 1

摘要

为了适应智能电网中EMS系统由集中式向分散式的发展，本文提出了一种虚拟发电部落框架下互联电网AGC动态生成指挥调度的分布式强化学习协同共识算法。广东电网的仿真结果表明:该算法不仅提高了系统的自适应性能和动态性能，而且降低了调节成本，实现了自动发电控制的最优分配。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Decentralized reinforcement learning collaborative consensus algorithm for generation dispatch in virtual generation tribe

The article proposes a distributed reinforcement learning collaborative consensus algorithm for dynamic generation command dispatch of AGC in interconnected power grids under the framework of the virtual power generation tribes, in order to in response to the development of the EMS system in the Smart Grid from centralization to decentralized form. The simulation results of the Guangdong Grid show that: the algorithm can not only enhance the adaptive and dynamic performance of the system but also can reduce the adjustment cost as well as realizing the optimal allocation of automatic generation control.

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来源期刊

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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