On-Line Energy Management of Microgrid via Parametric Cost Function Approximation
Date of Original Version
This letter proposes a parametric cost function approximation (CFA)-based on-line operation strategy for microgrids, considering the uncertainty from distributed renewable energy. It aims to obtain on-line scheduling solutions with the minimal expectation of the operational cost. For the non-convex optimization problem in this letter, the stochastic gradient descent-based parameter optimization method is proposed to find the optimal parameter used in the parametric CFA policy. The proposed algorithm is demonstrated to be highly effective by using numerical experiments, indicating the high potential for practical applications.
IEEE Transactions on Power Systems
Shuai, Hang, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen, and Haibo He. "On-Line Energy Management of Microgrid via Parametric Cost Function Approximation." IEEE Transactions on Power Systems 34, 4 (2019): 3300-3302. doi:10.1109/TPWRS.2019.2912491.