Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network  

作　　者：Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun 

机构地区：[1]College of Electrical and Power Engineering,Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi Province,and also with Key Laboratory of Cleaner Intelligent Control on Coal&Electricity,Ministry of Education,Taiyuan 030024,China [2]Department of Electrical Engineering,Tsinghua University,Beijing 100084,China

出　　处：《CSEE Journal of Power and Energy Systems》2025年第2期826-837,共12页中国电机工程学会电力与能源系统学报(英文)

基　　金：supported by the National Natural Science Foundation of China(U22A6007);the National Natural Science Foundation of China(52307131).

摘　　要：Large-scale renewable energy penetration desires higher flexibility in the power system.Combined heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system.The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches.Similarly,the heat flow profile can be redistributed in the district heating system(DHS)with valve switching and provide notable flexibility for CHP-VPPs self-scheduling.To address this issue,an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets,which is formulated as an adjustable robust optimization(ARO)problem to assure the realizability of all dispatch requests.The energy flow model is introduced in DHS formulation to make the model solvable.Due to the binary switching variables in the second stage of the proposed ARO problem,classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed.Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.

关 键 词：Adjustable robust optimization DHS reconfiguration electric-thermal coupling system virtual power plants 

分 类 号：TM73[电气工程—电力系统及自动化]