On-Line Energy Management of Microgrid via Parametric Cost Function Approximation

Authors

Hang Shuai, Huazhong University of Science and Technology
Jiakun Fang, Huazhong University of Science and Technology
Xiaomeng Ai, Huazhong University of Science and Technology
Wei Yao, Huazhong University of Science and Technology
Jinyu Wen, Huazhong University of Science and Technology
Haibo He, University of Rhode IslandFollow

Document Type

Article

Date of Original Version

7-1-2019

Abstract

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.

Publication Title, e.g., Journal

IEEE Transactions on Power Systems

Volume

34

Issue

4

Citation/Publisher Attribution

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.