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作 者:余建武 包诗媛 李山 吴泓林 李海啸 Yu Jianwu;Bao Shiyuan;Li Shan;Wu Honglin;Li Haixiao(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China;Chongqing Engineering Research Center of Energy Internet,Chongqing 400054,China)
机构地区:[1]重庆理工大学电气与电子工程学院,重庆400054 [2]重庆市能源互联网工程技术研究中心,重庆400054
出 处:《太阳能学报》2025年第1期503-513,共11页Acta Energiae Solaris Sinica
基 金:重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0997);重庆市教委青年研究项目(KJQN202201153);重庆理工大学科研启动基金(2021ZDZ013)。
摘 要:在配电网局部区域,多个冷热电联供微网共同接入,表现出源荷不确定性和储能调度的无序性与互补性。采用鲁棒优化和共享储能模式,有助于提升系统抗风险能力并提高储能容量利用效率。为此,针对冷热电联供的区域多微网系统,提出考虑源荷不确定性和多微网自建共享储能电站协同调度的鲁棒优化模型。该鲁棒优化调度模型包含两阶段运行决策,旨在计及源荷不确定性和区域内微网间功率交互交换的影响下,给出自建共享储能电站容量配置和多微网系统运行的最优调度方案,以实现区域多微网系统整体运营成本和自建共享储能电站初始投资成本的最小化。仿真结果验证所提模型的有效性。In a local distribution network area,multiple combined cooling,heating,and power(CCHP)microgrids are integrated,exhibiting uncertainties in generation and load,as well as the disorder and complementarity in energy storage scheduling.Adopting robust optimization and a shared energy storage model helps enhance the system's risk resistance and improve the utilization efficiency of storage capacity.Therefore,a robust optimization model considering source-load uncertainties and cooperative scheduling of self-built and shared energy storage plants in multiple microgrids is proposed for a regional multi-microgrid system with combined cooling,heating and power supply.This robust optimization scheduling model includes two-stage decision-making process,aiming to provide a optimal scheduling scheme for self-built shared energy storage power station capacity planning and multi-microgrid system operations,taking into account the impact of source-load uncertainties and power interaction exchange between regional microgrids.The goal is to minimize the overall operational costs of the regional multi-microgrid system and the initial investment costs of self-built shared energy storage stations.The simulation results demonstrate the effectiveness of the proposed model.
分 类 号:TM734[电气工程—电力系统及自动化]
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