DU Can, HUA Haochen, CHEN Xingying, et al. Adaptive-step-size distributed optimization of integrated energy system cluster with differentiated heat sources[J]. 2026, 45(9).
DU Can, HUA Haochen, CHEN Xingying, et al. Adaptive-step-size distributed optimization of integrated energy system cluster with differentiated heat sources[J]. 2026, 45(9).DOI:
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
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
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.