{"title":"A Projected Gradient Descent-Based Distributed Optimal Control Method of Medium-Voltage DC Distribution System Considering Line Loss","authors":"Wenbiao Lu;Qian Xiao;Hongjie Jia;Yu Jin;Yunfei Mu;Jiebei Zhu;Chen Shen;Remus Teodorescu;Josep M. Guerrero","doi":"10.1109/TPWRS.2024.3435789","DOIUrl":null,"url":null,"abstract":"Real-time minimization of line loss is a great challenge for conventional distributed control methods in medium-voltage DC distribution system (MVDC-DS), which may lead to low efficiency and high energy consumption. To solve this problem, a novel projected gradient descent-based distributed optimal control method is proposed by combining the operation scheduling layer and coordination control layer. Firstly, the limitations of conventional consensus-based distributed control methods are analyzed. Then, the projection operator is introduced to modify the optimality conditions of the optimization problem so that variables with constant derivatives, such as line loss, can be integrated into the objective function of the operation scheduling layer. On this basis, the proposed distributed control is presented, and the iterative solution process based on projected gradient descent is realized by integral controller and feedback mechanism. Finally, the convergence and stability of the proposed method are analyzed. Results of some different scale case studies verify that the proposed method not only improves the system economy by real-time line-loss optimization, but also realizes voltage and power management.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"40 2","pages":"1751-1763"},"PeriodicalIF":7.2000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Power Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10614839/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Real-time minimization of line loss is a great challenge for conventional distributed control methods in medium-voltage DC distribution system (MVDC-DS), which may lead to low efficiency and high energy consumption. To solve this problem, a novel projected gradient descent-based distributed optimal control method is proposed by combining the operation scheduling layer and coordination control layer. Firstly, the limitations of conventional consensus-based distributed control methods are analyzed. Then, the projection operator is introduced to modify the optimality conditions of the optimization problem so that variables with constant derivatives, such as line loss, can be integrated into the objective function of the operation scheduling layer. On this basis, the proposed distributed control is presented, and the iterative solution process based on projected gradient descent is realized by integral controller and feedback mechanism. Finally, the convergence and stability of the proposed method are analyzed. Results of some different scale case studies verify that the proposed method not only improves the system economy by real-time line-loss optimization, but also realizes voltage and power management.
期刊介绍:
The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.