Double-layer Electricity Market Trading Strategy for Microgrids Based on Multi-agent System. Issue 1 (May 2020)

• Record Type: Journal Article
• Authors: Du, Le; Zhu, Xiaofei
• Is Part Of: IOP conference series. Volume 853:Issue 1(2020)
• Publication Date: 2020-05
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/853/1/012008
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Aiming at the power generation and consumption of microgrid, this paper proposes a double-layer electricity market trading model for microgrids(MGs) based on multi-agent system(MAS). In the upper level, MG conducts power transactions with other MGs and grid companies in the electricity market. In the lower layer, the various components within the MG coordinate and cooperate to obtain the maximum profit. In order to the uncertainty problem in power forecasting, a rolling optimization model based on chance constrained programming is established by combining interruptible load and demand response in the real-time market. And the consequence of the case analyses by MATLAB simulation proves the rationality and validity of the model for optimal dispatch of virtual power plants given by this paper.