郭国栋,龚雁峰.电力市场环境下基于深度强化学习的微网能量管理系统实时自动控制算法[J].电测与仪表,2021,58(9):78-88. Guo Guodong,Gong Yanfeng.Real-time automatic control algorithm of microgrid energy management system based on deep reinforcement learning in electricity market environment[J].Electrical Measurement & Instrumentation,2021,58(9):78-88.
电力市场环境下基于深度强化学习的微网能量管理系统实时自动控制算法
Real-time automatic control algorithm of microgrid energy management system based on deep reinforcement learning in electricity market environment
As an integrator of distributed energy, microgrid has great potential in promoting the development of clean and low-carbon energy. However, the uncertainty of renewable energy output brings challenges to the management of microgrid, and also brings this uncertainty to the external grid. Based on the real-time market, this paper constructs a microgrid environment including new energy units, traditional units and demand response resources, and adopts a deep deterministic strategy gradient algorithm which can utilize the environmental information. This model free reinforcement learning algorithm helps to make full use of the accumulated data information, and can better adapt to the uncertain environment and improve in the continuous state space and action space. Simulation results show that the proposed algorithm can reduce the operating cost of microgrid while dealing with the uncertain factors effectively.
