分布式能源2025，Vol.10Issue(3)：1-10,10.DOI:10.16513/j.2096-2185.DE.24090651
基于边缘计算的梯级双时间尺度电热系统最优调度
Optimal Scheduling of Tiered Dual-Time-Scale Electric-Thermal System Based on Edge Computing
摘要
Abstract
Aiming at the challenges of insufficient scheduling flexibility and rising operational costs in multi-park electric-thermal systems under large-scale renewable energy integration,this paper proposes an optimal scheduling model for tiered dual-time-scale distributed electric-thermal system based on edge computing.Firstly,a three-tier collaborative architecture comprising a physical equipment layer,edge computing layer,and cloud layer is constructed.Edge computing facilitates rapid data processing and distributed decision-making among parks.Secondly,the improved analytical target cascading method is employed with a dual-time-scale strategy:the lower layer optimizes electrical energy interactions at a 5 min granularity,while the upper layer coordinates thermal energy interactions at a 1 h granularity.The augmented Lagrangian method is integrated to decouple and iteratively solve multi-time-scale optimization problems.Finally,a benefit redistribution mechanism based on energy contribution degrees is designed,utilizing an asymmetric mapping function to quantify each park's contributions to electric-thermal exchanges and renewable energy consumption,ensuring equitable profit distribution.Case studies demonstrate that the proposed model reduces comprehensive operational costs by 34.46%compared to conventional methods,significantly improves renewable energy consumption rates,and achieves convergence within eight iterations.The findings confirm that the integration of edge computing and dual-time-scale strategies effectively addresses spatiotemporal disparities in energy flows,providing theoretical and practical insights for coordinated optimization in multi-energy-coupled systems.关键词
边缘计算/双时间尺度/分布式电热系统/改进目标级联法/收益再分配/可再生能源消纳Key words
edge computing/dual-time-scale/distributed electric-thermal system/improved analytical target cascading method/benefit redistribution/renewable energy consumption分类
能源科技引用本文复制引用
李二超,廖敏瑞..基于边缘计算的梯级双时间尺度电热系统最优调度[J].分布式能源,2025,10(3):1-10,10.基金项目
国家自然科学基金项目(62063019) （62063019）
甘肃省自然科学基金重点项目(24JRRA173) （24JRRA173）
甘肃省优秀博士生项目(24JRRA205)This work is supported by National Natural Science Foundation of China(62063019) （24JRRA205）
Key Project of Gansu Provincial Natural Science Foundation(24JRRA173) （24JRRA173）
Gansu Provincial Excellent Doctoral Student Project(24JRRA205) （24JRRA205）
