期刊
ENERGY
卷 244, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.123124
关键词
Multi-energy microgrids; Storage sharing; Energy sharing; Optimization; Nash bargaining
资金
- National Natural Science Foun-dation of China [62 173 152, 62103156]
- Natural Science Foundation of Hubei Province of China [2021CFB052]
This paper proposes an efficient and economic hybrid storage and energy sharing model for multiple microgrids. By introducing a hybrid energy storage system (HESS), energy conversion and collaborative energy sharing among multiple microgrids are achieved. An energy optimization problem is solved using the ADMM algorithm in a distributed manner to address privacy concerns. The storage and energy sharing benefits are determined by the Nash bargaining solution. Simulation results demonstrate that the model effectively improves renewable energy utilization and provides economic benefits for both microgrids and the HESS.
Multi-energy microgrids are facing a dilemma that realizing high local energy efficiency requires large-capacity ESS with hefty investment costs. To address the dilemma, an efficient and economic hybrid storage and energy sharing model for multiple microgrids is proposed. Specificly, a hybrid energy storage system (HESS) is introduced, which contains an electrical battery and a heat storage tank and is able to realize energy conversion. The multiple microgrids can share energy through the HESS in a collaborative way. An energy optimization problem is formulated to minimize the overall energy costs including energy purchase cost and HESS operating cost. ADMM algorithm is used to solve the problem in a distributed manner to avoid privacy concerns. The storage and energy sharing benefits of the microgrids and the HESS are determined by Nash bargaining solution. Simulation results show that the model can effectively improve the utilization of the renewable energy, and lead to considerable economic benefits for both the microgrids and the HESS.(c) 2022 Elsevier Ltd. All rights reserved.
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