{"title":"Distributed Optimal Power Flow for Large-Scale Multi-Area Interconnected Power Systems","authors":"Qingju Luo;Jizhong Zhu;Haohao Zhu;Di Zhang","doi":"10.17775/CSEEJPES.2024.02430","DOIUrl":null,"url":null,"abstract":"Distributed optimal power flow (OPF) of large-scale multi-area interconnected power systems is a challenging problem. This letter proposes a distributed OPF approach based on the modified decomposition-coordination interior point method (DCIPM). The proposed method eliminates the zero rows of the coupling matrix and partially factorizes the augmented Newton matrix on the foundation of DCIPM, which speeds up the computation. Eliminating zero rows significantly reduces the size of the coupling matrix, and the partial decomposition of the augmented Newton matrix exploits the sparsity of the coupling matrix. The proposed distributed OPF approach is more convergent and efficient than the traditional distributed optimization methods and faster than the centralized MATPOWER, as verified in different systems, the largest of which contains 70,000 buses.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1423-1428"},"PeriodicalIF":6.9000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838225","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSEE Journal of Power and Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10838225/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Distributed optimal power flow (OPF) of large-scale multi-area interconnected power systems is a challenging problem. This letter proposes a distributed OPF approach based on the modified decomposition-coordination interior point method (DCIPM). The proposed method eliminates the zero rows of the coupling matrix and partially factorizes the augmented Newton matrix on the foundation of DCIPM, which speeds up the computation. Eliminating zero rows significantly reduces the size of the coupling matrix, and the partial decomposition of the augmented Newton matrix exploits the sparsity of the coupling matrix. The proposed distributed OPF approach is more convergent and efficient than the traditional distributed optimization methods and faster than the centralized MATPOWER, as verified in different systems, the largest of which contains 70,000 buses.
期刊介绍:
The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.