Multi-agent Joint Peak Regulation Optimal Scheduling Considering Green Certificate Trading Mechanism and Deep Peak Regulation Compensation for Carbon Capture Power Plant

被引：0
|
作者：
Yang D. [1 ]
Liu H. [1 ]
Sun Y. [2 ]
Li B. [2 ]
Liu C. [3 ]
Liu X. [1 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Northeast Electric Power University), Ministry of Education, Jilin Province, Jilin
[2] State Grid Jilin Electric Power Company, Jilin Province, Changchun
[3] State Grid Jilin Electric Power Research Institute, Jilin Province, Changchun
来源：
Dianwang Jishu/Power System Technology | 2024年 / 48卷 / 01期
关键词：
bi-level optimization; carbon capture power plants; deep peak regulation; demand respond; pumped storage plant; tradable green certificate;
D O I：
10.13335/j.1000-3673.pst.2023.0699
中图分类号：
学科分类号：
摘要：
With the continuous integration of the large-scale wind power, there have been an increase in the peak load regulation burden of the system. A double-layer optimization of the carbon-storage-load joint peak regulation considering the green certificate trading mechanism and the deep peak regulation compensation of the carbon capture power plants is proposed. The upper layer aims at the electricity price-guided demand response and improving the smoothness of the net load curves in order to lower the load peak-valley difference, improve the wind power consumption spaces and alleviate the pressure of the deep peak shaving units. Based on the optimized peak shaving capacity in the upper layer, the lower layer considers the green certificate trading mechanism and takes the carbon capture power plant deep adjustment compensation income of the carbon-storage joint deep peak shaving comprehensive cost optimization as the goal. The purpose is to show the function of the green certificate trading mechanism and the peak regulation auxiliary service in the deep peak regulation, give full play to the ability of the carbon-storage joint deep peak regulation, and optimize the system peak regulation economy, the wind power consumption and the carbon emissions. Simulation results on the improved IEEE 30-bus system verify the effectiveness of the proposed model. © 2024 Power System Technology Press. All rights reserved.
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页码：100 / 109
页数：9
相关论文
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