Economical Optimization for Multi-Microgrid Based on Stackelberg Game

被引:0
|
作者
Tong, Xin [1 ]
Hu, Cungang [1 ,2 ,3 ]
Rui, Tao [2 ]
Shen, Weixiang [4 ]
机构
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China
[2] Anhui Univ, Anhui Prov Collaborat Innovat Ctr Ind Energy Savi, Hefei 230601, Peoples R China
[3] Anhui Univ, Engn Res Ctr Power Qual, Minist Educ, Hefei 230601, Peoples R China
[4] Swinburne Univ Technol, Elect Engn Fac Sci Engn & Technol, Melbourne, Vic 3122, Australia
来源
PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) | 2019年
关键词
multi-microgrid; stackelberg game; internal price; economical optimization; net load power;
D O I
10.1109/iciea.2019.8833923
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes an economical optimizated strategy for multi-microgrid based on stackelberg game. The microgrid operator is the leader, the microgrids are the followers. The microgrid operator formulates the internal price of microgrids according to its profit in the upper layer; However, every microgrid need to meet the demond response with the goal of maximizing operational benifits in the lower layer. The differential evolution algorithm is used to solve the proposed optimization problem, which improves the energy sharing level between microgrids, reduces the fluctuation of net load power and increases the benefits of multi-microgrid and microgrid operator. Finally, the simulation study is analyzed and the results verify the effectiveness of the proposed strategy.
引用
收藏
页码:1760 / 1764
页数:5
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