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Abstract
A microgrid that consists of distributed energy sources, such as micro turbines, wind turbines, fuel cells, and photovoltaic panels, storage devices and a group of radial load feeders are quickly rising in popularity in recent years. Because there are various controllable units in a microgrid, it has the potential to provide ancillary services (A/Ss) for the grid in the grid-connected mode. This article proposes a novel microgrid energy management strategy with demand response to provide peak shaving for the grid by using the peak-time rebate scheme. Under this scheme, various controllable units, such as controllable loads, battery storage, and diesel generators, participate voluntarily in the demand-response program to achieve maximum profit for the microgrid, so the microgrid can respond actively to the grid. The optimal energy management for the microgrid is achieved under this scheme. In addition, the main grid can benefit from the scheme with a lower cost compared with other traditional peak-shaving programs. Various incentive rewards of the peak-time rebate and demand-response levels of the controllable loads are discussed in the peak-time rebate scheme. The results demonstrate that the peak power of the grid tie-line is shaved markedly while achieving optimal energy management.
Additional information
Notes on contributors
Jingshuang Shen
Jingshuang Shen was born in Henan, China, in 1976. He received his M.S. from Shanghai Jiaotong University, Shanghai, China, in 2003, where he is currently pursuing his Ph.D. His research interests include power system optimization, energy management of microgrids, response demand, and the smart grid.
Chuanwen Jiang
Chuanwen Jiang received his M.S. and Ph.D. from Huazhong University of Science and Technology, Wuhan, China, in 1996 and 2000, respectively. He completed his postdoctoral research at the Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, China. He is a professor with the Department of Electrical Engineering, Shanghai Jiaotong University. He is now engaged in the research of reservoir dispatching, power system analysis, electricity markets, and power system economics and optimization.
Yangyang Liu
Yangyang Liu received his B.S. and M.S. from Shanghai Jiaotong University, Shanghai, China, in 2009 and 2011, respectively. He is currently pursuing his Ph.D. at Shanghai Jiaotong University. His research interests include risk analysis, electricity markets, and power system optimization.
Jie Qian
Jie Qian graduated from Telecom ParisTech and joined the Électricité de France (EDF) Group in 2009. His research interests include electricity markets, microgrid and power system optimization.