期刊
IEEE TRANSACTIONS ON SMART GRID
卷 9, 期 2, 页码 847-856出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2016.2569604
关键词
Networked microgrids; distributed energy resources; alternating direction method of multipliers; online learning; regret minimization
资金
- NSF [1239224]
- Office of Electricity Delivery and Energy Reliability of the U.S. Department of Energy
We propose a distributed algorithm for online energy management in networked microgrids with a high penetration of distributed energy resources (DERs). A high penetration of DERs introduces high uncertainty of power generation to the microgrids. In general, the state-of-the-art forecasting for non-dispatchable DERs such as solar energy is not sufficiently accurate, which results in inaccurate energy scheduling. To address the high uncertainty issue in the networked microgrids, we propose an online energy management based on the online alternating direction method of multipliers algorithm with the past power generation information from the DERs. The online algorithm provides less conservative schedule than the robust optimization-based approach. The effectiveness of the proposed algorithm is verified by various numerical examples.
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