A distributed real-time pricing strategy based on reinforcement learning approach for smart grid

作者：

Highlights：

• A win-win real-time pricing strategy for smart grid is studied.

• A holistic Markov decision process model is proposed.

• Reinforcement learning methodology is adopted to solve the model.

• A distributed online algorithm is designed to decide the electricity price adaptively.

摘要

•A win-win real-time pricing strategy for smart grid is studied.•A holistic Markov decision process model is proposed.•Reinforcement learning methodology is adopted to solve the model.•A distributed online algorithm is designed to decide the electricity price adaptively.

论文关键词：Smart grid,Demand side management,Real-time pricing,Reinforcement learning,Markov decision process

论文评审过程：Received 28 May 2020, Revised 3 November 2020, Accepted 22 November 2021, Available online 27 November 2021, Version of Record 3 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116285