Application of Deep Reinforcement Learning in Demand Response

With the advancement of electricity market reform in China, the demand response business is developing towards diversification and normalization. The requirements for the reliability and accuracy of demand response in the new environment are getting higher and higher, and there is an urgent need for perfect technical support. Deep reinforcement learning can make more accurate identification of complex external environments and make optimal decisions, which can exactly meet the requirements of demand response. Based on this, the application of deep reinforcement learning technology in the demand response is discussed. Firstly, the development history and research status of deep reinforcement learning are presented. Meanwhile, the research status and future development requirements of demand response are analyzed. Then the feasibility and methods of deep reinforcement learning applied to demand response services are discussed. Finally, the demand responsive business development framework based on deep reinforcement learning is proposed, and an in-depth analysis of the implementation process of deep reinforcement learning is conducted, which provides a reference for the development of demand response technologies. © 2019 Automation of Electric Power Systems Press.