期刊
APPLIED ENERGY
卷 185, 期 -, 页码 939-952出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.09.092
关键词
Microgrid; Renewable energy; Distributed model predictive control; Stochastic optimization
资金
- National Natural Science Foundation of China [61403303]
- China Postdoctoral Science Foundation [2014M560776]
- Natural Science Basis Research Plan in Shaanxi Province of China [2016JQ5080]
- Special Financial Grant from the China Post-doctoral Science Foundation [2016T90918]
- State Key Laboratory of Electrical Insulation and Power Equipment [EIPE15306]
The concept of multi-microgrids has the potential to improve the reliability and economic performance of a distribution system. To realize this potential, a coordination among multiple microgrids is needed. In this context, this paper presents a new distributed economic model predictive control scheme for the coordinated stochastic energy management of multi-microgrids. By optimally coordinating the operation of individual microgrids, this scheme maintains the system-wide supply and demand balance in an economical manner. Based on the probabilistic forecasts of renewable power generation and microgrid load, this scheme effectively handles the uncertainties in both supply and demand. Using the Chebyshev inequality and the Delta method, the corresponding stochastic optimization problems have been, converted to quadratic and linear programs. The proposed scheme is evaluated on a large-scale case that includes ten interconnected microgrids. The results indicated that the proposed scheme successfully reduces the system wide operating cost, achieves the supply-demand balance in each microgrid, and brings the energy exchange between DNO and main grid to a predefined trajectory. (C) 2016 Elsevier Ltd. All rights reserved.
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