Web: http://arxiv.org/abs/2110.14300

Jan. 24, 2022, 2:11 a.m. | Jianhong Wang, Wangkun Xu, Yunjie Gu, Wenbin Song, Tim C. Green

cs.LG updates on arXiv.org arxiv.org

This paper presents a problem in power networks that creates an exciting and
yet challenging real-world scenario for application of multi-agent
reinforcement learning (MARL). The emerging trend of decarbonisation is placing
excessive stress on power distribution networks. Active voltage control is seen
as a promising solution to relieve power congestion and improve voltage quality
without extra hardware investment, taking advantage of the controllable
apparatuses in the network, such as roof-top photovoltaics (PVs) and static var
compensators (SVCs). These controllable apparatuses …

arxiv distribution learning networks power reinforcement learning

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