Distributed EMPC of multiple microgrids for coordinated stochastic energy management

被引:120
作者
Kou, Peng [1 ]
Liang, Deliang [1 ]
Gao, Lin [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Shaanxi Key Lab Smart Grid, Sch Elect Engn, Xian 710049, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Microgrid; Renewable energy; Distributed model predictive control; Stochastic optimization; NETWORKED MICROGRIDS; DEMAND RESPONSE; GENERATION; INTEGRATION; SYSTEM; WIND; OPTIMIZATION; STRATEGIES; FORECAST; MODEL;
D O I
10.1016/j.apenergy.2016.09.092
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:939 / 952
页数:14
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