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含差异化热源的综合能源系统集群自适应步长分布式优化OA

Adaptive-step-size distributed optimization of integrated energy system cluster with differentiated heat sources

中文摘要英文摘要

针对未互联的综合能源系统(integrated energy systems,IES)单独运行效益差、风光消纳能力弱以及各主体互动意愿低等问题,文中提出一种电-热-氢-冷综合能源系统集群(integrated energy system cluster,IESC)架构,并将具有长期储能特性的氢储能设备和具有短期储能特性的蓄电池组合成具有长短期储能特性的混合储能应用于该系统.在此基础上,为充分挖掘各 IES 的协同互补能力,文中根据热能品位将 IES 分为含高品位热源的 IES 和含低品位热源的 IES,并建立一种基于运营商集中调度和系统分配协调的双层优化调度模型.模型上层以混合储能系统综合投资费用最低、储能建设容量最大为优化目标进行容量配置,下层以各 IES 总成本最低为优化目标分布式优化机组出力.此外,为优化复杂能源系统的运行,对 IESC模型进行解耦,并利用商业求解器和含自适应步长的正则化交替方向乘子法(adaptive-step-size regularized alternating direction multiplier method,AR-ADMM)分别对上、下层模型进行求解,实现 IESC 电、热、氢、冷互利共赢.仿真结果表明,文中所提调度策略能够在实现最佳经济效益的同时,提高可再生能源消纳率.

To address the issues of poor operational efficiency,low renewable energy accommodation,and limited stakeholder cooperation in non-interconnected integrated energy system(IES),this paper proposes an integrated energy system cluster(IESC)architecture incorporating a hybrid storage system that combines long-duration hydrogen storage with short-duration battery storage.To fully exploit the synergistic potential among IESs,they are categorized according to heat-source temperature grades(high-grade vs.low-grade).A bi-level optimization framework is established,consisting of centralized operator dispatch at the upper level and decentralized system coordination at the lower level.The upper level optimizes storage capacity configuration by minimizing total investment cost while maximizing installed capacity,whereas the lower level minimizes each IES's total operational cost via distributed unit commitment.The bi-level model is decoupled and solved using a commercial solver for the upper level and an adaptive-step-size regularized alternating direction multiplier method(AR-ADMM)for the lower level.Simulation results demonstrate that the proposed strategy achieves superior economic performance and significantly improves renewable energy utilization.

杜灿;华昊辰;陈星莺;余昆;梅飞;甘磊

河海大学电气与动力工程学院,江苏 南京 210024河海大学电气与动力工程学院,江苏 南京 210024河海大学电气与动力工程学院,江苏 南京 210024河海大学电气与动力工程学院,江苏 南京 210024河海大学电气与动力工程学院,江苏 南京 210024河海大学电气与动力工程学院,江苏 南京 210024

信息技术与安全科学

综合能源系统(IES)混合储能多主体互联交替方向乘子法(ADMM)双层优化分布式优化

integrated energy system(IES)hybrid energy storagemulti-agent interconnectedalternating direction multiplier method(ADMM)two-layer optimizationdistributed optimization

《电力工程技术》 2026 (9)

58-70,13

国家重点研发计划资助项目(2022YFE0140600)国家自然科学基金资助项目(52377093)

10.12158/j.2096-3203.2026.09.006

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