Distributed Energy Trading for Multiple Microgrids Considering Wind Power Uncertainty

被引：0
|
作者：
Wang, Zhuo [1 ]
Hou, Hui [1 ]
Zhao, Bo [2 ]
Zhang, Leiqi [2 ]
Shi, Ying [1 ]
Xie, Changjun [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
[2] State Grid Zhejiang Elect Power Res Inst, Hangzhou, Peoples R China
来源：
2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022) | 2022年
基金：
中国国家自然科学基金;
关键词：
multiple microgrids; energy trading; stochastic programming; alternating direction multiplier method; BIDDING STRATEGY;
D O I：
10.1109/ICPSAsia55496.2022.9949702
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：
This paper proposes a stochastic programming based distributed method to solve optimal trading strategies among multiple microgrids (MGs) under uncertainty from wind power generations. Firstly, scenario generation and reduction technologies are adopted to predict and select the most representative scenarios of wind power automatically. Then, uncertainty from wind generations is integrated into the operating model of individual MGs and addressed by the stochastic programming method. Furthermore, in order to ensure the independence and privacy of energy trading processes, a distributed solution method is developed based on an alternating direction multiplier method. Finally, numerical tests with three MGs are implemented to show the effectiveness of the proposed distributed trading method.
引用
收藏
页码：2047 / 2051
页数：5
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