中国电机工程学报2025，Vol.45Issue(10)：3698-3708,中插1,12.DOI:10.13334/j.0258-8013.pcsee.232504
计及热网拓扑重构的电-热分布式机组组合研究
Distributed Unit Commitment for Integrated Electric and Heating System Considering Reconfiguration of District Heating Network
摘要
Abstract
With the widespread adoption of combined heat and power(CHP)technology,the coupling between power grids and heating networks has become increasingly integrated.Heating networks can dynamically adjust their configurations through valve operations,enhancing the operational flexibility and start-stop dynamics of coupling equipment such as CHP units.This capability provides a novel approach to power system congestion management and facilitates the integration of renewable energy.This paper introduces a unit commitment model that incorporates the coordination of transmission networks and reconfigurable heating networks.To accommodate the heterogeneous nature of these systems,an extended heterogeneous decomposition algorithm is developed based on the generalized master-slave splitting theory,enabling distributed solutions for both networks.To address the non-convexities arising from binary decision variables-specifically,unit commitment and valve switching—a scalable coordinate descent procedure(CDP)is designed to ensure the finite convergence of the extended heterogeneous decomposition(HGD)algorithm,particularly in large-scale systems.Finally,numerical simulations are conducted to validate the benefits of heating network reconfiguration in alleviating transmission congestion,reducing wind curtailment,and optimizing system-wide operational costs.The results also demonstrate the effectiveness and computational efficiency of the proposed distributed algorithm compared to traditional methods.关键词
热网重构/分布式求解/异质分解/输电阻塞Key words
district heating network reconfiguration/distributed solution/heterogeneous decomposition/transmission congestion分类
动力与电气工程引用本文复制引用
薛屹洵,杜源,王科,常馨月,邓莉荣,孙宏斌..计及热网拓扑重构的电-热分布式机组组合研究[J].中国电机工程学报,2025,45(10):3698-3708,中插1,12.基金项目
国家自然科学基金项目(U22A6007,52307131).Project Supported by National Natural Science Foundation of China(U22A6007,52307131). （U22A6007,52307131）
