Yuan Du;Yixun Xue;Mohammad Shahidehpour;Wenchuan Wu;Xinyue Chang;Zening Li;Hongbin Sun
{"title":"Globally Optimal Distributed Operation of Integrated Electric and Heating Systems","authors":"Yuan Du;Yixun Xue;Mohammad Shahidehpour;Wenchuan Wu;Xinyue Chang;Zening Li;Hongbin Sun","doi":"10.1109/TSTE.2024.3450608","DOIUrl":null,"url":null,"abstract":"Unit commitment (UC) is a key player in the coordinated operation of integrated energy systems. However, the participation of multiple market entities with widely different characteristics in large-scale energy systems has urged the critical need for the application of a distributed scheme to the UC problem. The NP-hard UC problem is a challenging mixed-integer programming problem. The presence of a large number of binary variables in the UC subproblems, which are solved by each participating entity after implementing the UC decomposition, fails to guarantee the convergence and the optimality of existing solution methods. To bridge this gap, this paper proposes a distributed method, using logic-based Benders decomposition (LBBD), for the UC problem in a typical multi-entity system, i.e., integrated electric and heating system (IEHS). By searching the branch and bound tree of the district heating system (DHS) subproblem, the lower bound of its objective function is rigorously derived as a valid Benders cut to ensure the convergence to global optimal results. This distributed method is suitable for both deterministic and robust UC solutions. Numerical simulations are conducted on two test systems to demonstrate the performance of the proposed model and its distributed solution method.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 1","pages":"336-349"},"PeriodicalIF":8.6000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Sustainable Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10677480/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Unit commitment (UC) is a key player in the coordinated operation of integrated energy systems. However, the participation of multiple market entities with widely different characteristics in large-scale energy systems has urged the critical need for the application of a distributed scheme to the UC problem. The NP-hard UC problem is a challenging mixed-integer programming problem. The presence of a large number of binary variables in the UC subproblems, which are solved by each participating entity after implementing the UC decomposition, fails to guarantee the convergence and the optimality of existing solution methods. To bridge this gap, this paper proposes a distributed method, using logic-based Benders decomposition (LBBD), for the UC problem in a typical multi-entity system, i.e., integrated electric and heating system (IEHS). By searching the branch and bound tree of the district heating system (DHS) subproblem, the lower bound of its objective function is rigorously derived as a valid Benders cut to ensure the convergence to global optimal results. This distributed method is suitable for both deterministic and robust UC solutions. Numerical simulations are conducted on two test systems to demonstrate the performance of the proposed model and its distributed solution method.
期刊介绍:
The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.