LOW Carbon Economy Optimal Dispatch of Renewable Energy Power System Considering Carbon Rights Trading and Power Generation Rights Trading

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI:10.1109/EI256261.2022.10116369

Hongmin Yao, W. Qin, Xiang Jing, Zhilong Zhu, Xiaoqing Han, Yanbing Jia

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Abstract

In recent years, to alleviate a series of problems caused by global fossil energy development and utilization and to respond to China’s "double carbon" target, the domestic power generation rights trading market has been gradually developed. To address the problem that the current results only consider the medium-and long-term trading model of power generation rights but ignore the impact of system operation network constraints, an optimization model of intra-day power generation rights trading is established to maximize social benefits. On this basis, the day-ahead optimization model considering the total benefit after carbon trading is constructed by combining the carbon trading market. Finally, the IEEE-39 bus system (wind-fire) is used to verify the advantages of the described model in enhancing the electricity traded in power generation rights, promoting the consumption of new energy and helping to reduce carbon emissions on the power generation side.

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近年来，为缓解全球化石能源开发利用带来的一系列问题，响应中国“双碳”目标，国内发电权交易市场逐步发展起来。针对目前研究结果只考虑发电权中长期交易模型而忽略系统运行网络约束影响的问题，建立了以社会效益最大化为目标的日内发电权交易优化模型。在此基础上，结合碳交易市场，构建了考虑碳交易后总效益的日前优化模型。最后，以IEEE-39母线系统(风火)为例，验证了所述模型在增强发电权交易电量、促进新能源消费、减少发电侧碳排放等方面的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)

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