Joint Optimization of Electricity Purchase in the Day-Ahead Market Based on Robust Regret

被引：0

作者：

Jiang Y. ^{[1
,2
]}

Chen M. ^{[1
]}

机构：

[1] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou

[2] Fujian Smart Electrical Engineering Technology Research Center, Fuzhou

来源：

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 09期

关键词：

Day-ahead energy market; Joint optimization of electricity purchase; Real-time market; Reserve capacity market; Robust regret; Wind power;

D O I：

10.19595/j.cnki.1000-6753.tces.180020

中图分类号：

学科分类号：

摘要：

With the increase of wind power connected to the grid, the influence of its unpredictability on the electricity market becomes more dramatic and wind curtailment obviously rises. In order to make a better trading plan of the day-ahead market and make full use of wind resource, the paper takes into account a joint optimization of the day-ahead energy market, reserve capacity market and real-time imbalance energy market, where the uncertainties of wind power and prices of the real-time market are described by intervals. As the actual wind power and the imbalance cost of the real-time market can't be known a priori, the electricity purchase strategy is made by minimizing the robust regret of the cost based on the regret psychology of decision makers. The results of the case verify that the proposed model can effectively reduce the regret of decision makers and utilize the wind resource. © 2019, Electrical Technology Press Co. Ltd. All right reserved.

引用

页码：1971 / 1984

页数：13

共 26 条

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