Research on Stochastic Optimal Operation Strategy of Active Distribution Network Considering Intermittent Energy

被引:21
|
作者
Chen, Fei [1 ]
Liu, Dong [1 ]
Xiong, Xiaofang [2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Key Lab Control Power Transmiss & Convers, Minist Educ, Shanghai 200240, Peoples R China
[2] State Grid Jiangxi Nanchang Power Supply Co, Nanchang 330000, Jiangxi, Peoples R China
来源
ENERGIES | 2017年 / 10卷 / 04期
基金
中国国家自然科学基金;
关键词
active distribution network; intermittent energy uncertainty; stochastic optimal operation; benders decomposition; UNIT COMMITMENT; DEMAND RESPONSE; WIND; OPTIMIZATION; UNCERTAINTY;
D O I
10.3390/en10040522
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
Active distribution networks characterized by high flexibility and controllability are an important development mode of future smart grids to be interconnected with large scale distributed generation sources including intermittent energies. However, the uncertainty of intermittent energy and the diversity of controllable devices make the optimal operation of distribution network a challenging issue. In this paper, we propose a stochastic optimal operation strategy for distribution networks with the objective function considering the operation state of the distribution network. Both distributed generations and flexible loads are taken into consideration in our strategy. The uncertainty of the intermittent energy is considered in this paper to obtain an optimized operation and an efficient utilization of intermittent energy under the worst scenario. Then, Benders decomposition is used in this paper to solve the two-stage max-min problem for stochastic optimal operation. Finally, we test the effectiveness of our strategy under different scenarios of the demonstration project of active distribution network located in Guizhou, China.
引用
收藏
页数:23
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