Optimization Decision Model of Electricity Market Under Renewable Portfolio Standards

被引:0
|
作者
Lin X. [1 ,2 ]
Zeng J. [1 ,2 ]
Feng D. [1 ,2 ]
机构
[1] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
基金
中国国家自然科学基金;
关键词
Bi-level optimization decision model; Electricity spot market; Green certificate; Mixed-integer linear programming; Renewable portfolio standard;
D O I
10.7500/AEPS20200628012
中图分类号
学科分类号
摘要
Renewable portfolio standards have been promoted in parallel with the construction of electricity spot markets. The actual accomodation of renewable energy power will become the main way for power users to fulfill the assessment requirements of renewable portfolio standards, and renewable energy power will gradually participate in the electricity spot market transactions. Based on the above framework, a bilevel optimization decision model of multi-entity including the renewable energy day-ahead market, conventional energy day-ahead market, and real-time market is established under the renewable portfolio standards, and it is transformed to a mixed-integer linear programming model to solve the market equilibrium through Karush-Kuhn-Tucker conditions, strong duality theorem, binary expansion method, etc. Case study explores the impact of assessment weight indicators, green certificate prices, and penetration rate of renewable energy power on the market equilibrium. The results show that at the market equilibrium, the day-ahead market clearing price of renewable energy electricity is equal to that of conventional energy plus the green certificate price, and with the increase in the power penetration rate of renewable energy, the clearing price of the eletricity spot market showes a downward trend. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:158 / 168
页数:10
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