考虑共享储能的多微电网低碳经济优化研究

李军祥, 万秋婷, 屈德强, 刘淇

太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 756-764.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 756-764. DOI: 10.19912/j.0254-0096.tynxb.2024-1483

考虑共享储能的多微电网低碳经济优化研究

  • 李军祥1,2, 万秋婷1, 屈德强3, 刘淇1
作者信息 +

LOW-CARBON AND ECONOMIC OPTIMIZATION OF MULTIPLE MICROGRIDS CONSIDERING SHARED ENERGY STORAGE

  • Li Junxiang1,2, Wan Qiuting1, Qu Deqiang3, Liu Qi1
Author information +
文章历史 +

摘要

在新能源与储能结合应用的过程中,针对多主体之间的利益互动关系和储能利用率低的问题,建立考虑共享储能的多微电网低碳经济优化模型。在多微电网区域内建设储能电站,由共享储能调度中心基于各微电网的净负荷波动大小制定储能折扣服务价格,并通过充放电实时价格促进微网的充放电交易。微电网内,用户根据激励型需求响应机制调整用电需求,考虑碳排放成本建立微电网模型。采用粒子群优化算法和求解器求解共享储能-微电网双层优化模型,并设置4种运行场景进行对比。仿真结果表明,所提模型可有效提升各主体运行效益,减少系统碳排放量。

Abstract

In the process of combining renewable energy with energy storage,a multi-microgrid low-carbon economic optimization model considering shared energy storage is established to address the interactive relationship between multiple entities and the low utilization of energy storage. Energy storage station is built within the multi-microgrid area,and the shared energy storage dispatch center sets an energy storage discount service price based on net load fluctuation of each microgrid,and promotes charging and discharging transactions among microgrids through real-time charging and discharging prices. In the microgrid,users adjust their electricity demand according to the incentive demand response mechanism,and the microgrid model is established considering the carbon emission costs. The particle swarm optimization algorithm and solver are used to solve the shared energy storage-microgrid two-layer optimization model,and four operation scenarios are set for comparison. The simulation results show that the proposed model can effectively improve the operational benefits of each entity and reduce the carbon emissions of the system.

关键词

储能 / 微电网 / 低碳经济 / 折扣服务价格 / 需求响应 / 新能源

Key words

energy storage / microgrids / low-carbon economy / discounted service price / demand response / rnew energy

引用本文

导出引用
李军祥, 万秋婷, 屈德强, 刘淇. 考虑共享储能的多微电网低碳经济优化研究[J]. 太阳能学报. 2026, 47(1): 756-764 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1483
Li Junxiang, Wan Qiuting, Qu Deqiang, Liu Qi. LOW-CARBON AND ECONOMIC OPTIMIZATION OF MULTIPLE MICROGRIDS CONSIDERING SHARED ENERGY STORAGE[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 756-764 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1483
中图分类号: TM73   

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基金

国家自然科学基金(72071130; 12071112); 上海市大学生创新基金(SH2025080)

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