A New Pricing Method for Price Multiplicity in Real-Time Market

被引：0
作者：
Liu C. [1 ]
Feng D. [1 ]
Fang C. [2 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Minhang District, Shanghai
[2] Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Hongkou District, Shanghai
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Congestion surplus; Linear programming; Nodal price; Price multiplicity; Pricing; Surplus allocation;
D O I：
10.13334/j.0258-8013.pcsee.182291
中图分类号：
学科分类号：
摘要：
The price multiplicity that may occur in the real-time market will have a serious impact on the normal operation of the electricity market. At present, the existing solutions either have obvious bias, or have other problems such as computational redundancy, and the existing classification of price multiplicity cannot guide the pricing well. Based on the solution of the congestion surplus linear optimization problem, this paper designed a classification criterion for price multiplicity, and proposed a social surplus allocation method based on satisfaction, and expounded the good properties of the method. The method was then combined with the congestion surplus minimization to form a comprehensive pricing process. The pricing process is categorical-oriented and applies to all multi-solution types with high computational efficiency. Finally, the effectiveness of the integrated pricing process was verified by a 3-bus system and IEEE 24-bus Reliability Test System (RTS). © 2020 Chin. Soc. for Elec. Eng.
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页码：390 / 399
页数：9
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