基于双碳目标的电力系统灵活性优化研究

许光清, 陈康康, 赵庆

中国环境科学 ›› 2025, Vol. 45 ›› Issue (9) : 5315-5328.

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (9) : 5315-5328.
碳排放控制

基于双碳目标的电力系统灵活性优化研究

  • 许光清, 陈康康, 赵庆
作者信息 +

Research on power system flexibility optimization based on dual carbon goals

  • XU Guang-qing, CHEN Kang-kang, ZHAO Qing
Author information +
文章历史 +

摘要

通过构建中国分区域电网的电力系统灵活性优化模型NEMO-China-Flexibility,将电力系统灵活性提升有机融入碳中和目标框架中,基于各区域经济发展水平,能源需求强度,可再生资源开发潜力以及灵活性提升规模设计了基准情景,可变可再生能源高渗透率情景,灵活性提升情景以及综合情景,在情景对比中分析灵活性提升的效果.研究结果表明,源网荷储一体化灵活性提升能显著提高电力系统应对供需波动的能力并提高可再生能源发电的消纳量,在各类灵活性资源中煤电是基础的灵活性资源,储能是最具开发潜力的灵活性资源,此外灵活性提升还具有减少碳排放总量以及降低电力系统运行成本的效益.

Abstract

A power system flexibility optimization model, NEMO-China-Flexibility, was constructed in this study, integrating power system flexibility enhancement into a carbon-neutral framework for China's regional power grids. Based on regional economic development levels, energy demand intensity, renewable resource development potential, and flexibility enhancement, four distinct scenarios were designed: baseline scenario, high-penetration variable renewable energy scenario, flexibility enhancement scenario, and comprehensive scenario. The effects of flexibility enhancement were analyzed through scenario comparison. The results showed that integrated source-grid-load-storage flexibility enhancement could significantly enhance the power system's capability to address supply-demand fluctuations and improve renewable energy consumption. Among various flexibility resources, coal power was the foundational flexibility resource, while energy storage exhibited the greatest development potential. Additionally, flexibility enhancement delivered co-benefits such as reducing carbon emissions and lowering power system operational costs.

关键词

新型电力系统 / VRE / 灵活性提升 / 成本优化 / 碳中和情景

Key words

new power system / VRE / flexibility enhancement / cost optimization / carbon neutrality scenario

引用本文

导出引用
许光清, 陈康康, 赵庆. 基于双碳目标的电力系统灵活性优化研究[J]. 中国环境科学. 2025, 45(9): 5315-5328
XU Guang-qing, CHEN Kang-kang, ZHAO Qing. Research on power system flexibility optimization based on dual carbon goals[J]. China Environmental Science. 2025, 45(9): 5315-5328
中图分类号: X192    X773   

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基金

中国人民大学亚洲研究中心资助项目(25YYA02)

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