{"title":"A Centralized-Distributed Hybrid Control Scheme for Voltage Control in Active Distribution Networks With High Renewable Penetration","authors":"Mudaser Rahman Dar;Sanjib Ganguly","doi":"10.1109/JSYST.2025.3643533","DOIUrl":null,"url":null,"abstract":"This article presents a hierarchical voltage control framework based on multitimescale model predictive control (MPC) for ADNs, with high penetration of photovoltaic systems and electric vehicles. The proposed scheme utilizes a hybrid control architecture, wherein OLTC is controlled at the first stage using MPC, leveraging sparse measurement and communication-based centralized control scheme. Inverter-driven control devices (IDCDs) are operated on a faster timescale, utilizing MPC-based distributed coordination. To enhance operational efficiency, a community detection algorithm based on network modularity is utilized for network clustering. A modified modularity metric incorporating the diameter of the cluster, in addition to the average voltage sensitivity and device regulation capacity, is utilized for improved network partitioning. A decomposition coordination control model is used for distributed control of IDCDs, utilizing the alternating-direction method of multipliers, with reduced communication overhead. The scalability and coordination capability of the presented model are validated on the 33-bus network and the IEEE 123-bus network.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 1","pages":"16-27"},"PeriodicalIF":4.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11316223/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a hierarchical voltage control framework based on multitimescale model predictive control (MPC) for ADNs, with high penetration of photovoltaic systems and electric vehicles. The proposed scheme utilizes a hybrid control architecture, wherein OLTC is controlled at the first stage using MPC, leveraging sparse measurement and communication-based centralized control scheme. Inverter-driven control devices (IDCDs) are operated on a faster timescale, utilizing MPC-based distributed coordination. To enhance operational efficiency, a community detection algorithm based on network modularity is utilized for network clustering. A modified modularity metric incorporating the diameter of the cluster, in addition to the average voltage sensitivity and device regulation capacity, is utilized for improved network partitioning. A decomposition coordination control model is used for distributed control of IDCDs, utilizing the alternating-direction method of multipliers, with reduced communication overhead. The scalability and coordination capability of the presented model are validated on the 33-bus network and the IEEE 123-bus network.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.