{"title":"Robust Interval Type-2 Fuzzy Predictive Automatic Generation Control of Multiarea Interconnected Power Systems","authors":"Reza M. Kia;Mahsan Tavakoli-Kakhki","doi":"10.1109/JSYST.2025.3544320","DOIUrl":null,"url":null,"abstract":"This research investigates a supervisory interval type-2 fuzzy predictive control (SIT2FPC) technique to propose a novel control method for the automatic generation control (AGC) problem in interconnected power systems. The proposed control method comprises two main components: the interval type-2 fuzzy control (IT2FC) technique, employing a proportional integral derivative approach, and a supervisory predictive controller. IT2FC sets are considered for a multiarea interconnected power network, followed by the implementation of a supervisory predictive control method for the entire system. It is demonstrated that the SIT2FPC method effectively addresses the challenges within the overall system. By incorporating a predictive controller as a robust supervisory control technique, the proposed method can effectively handle unexpected problems that may arise within the IT2FC units. In order to evaluate the efficiency and validity of the proposed robust SIT2FPC technique, it is applied to address the AGC problem in a four-area interconnected power grid. Also, the IEEE 39-bus power system is considered as a case study to validate the proposed AGC method. The outcomes of six different simulation scenarios clearly illustrate the effectiveness of the proposed robust control method.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"541-552"},"PeriodicalIF":4.4000,"publicationDate":"2025-03-11","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/10922719/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This research investigates a supervisory interval type-2 fuzzy predictive control (SIT2FPC) technique to propose a novel control method for the automatic generation control (AGC) problem in interconnected power systems. The proposed control method comprises two main components: the interval type-2 fuzzy control (IT2FC) technique, employing a proportional integral derivative approach, and a supervisory predictive controller. IT2FC sets are considered for a multiarea interconnected power network, followed by the implementation of a supervisory predictive control method for the entire system. It is demonstrated that the SIT2FPC method effectively addresses the challenges within the overall system. By incorporating a predictive controller as a robust supervisory control technique, the proposed method can effectively handle unexpected problems that may arise within the IT2FC units. In order to evaluate the efficiency and validity of the proposed robust SIT2FPC technique, it is applied to address the AGC problem in a four-area interconnected power grid. Also, the IEEE 39-bus power system is considered as a case study to validate the proposed AGC method. The outcomes of six different simulation scenarios clearly illustrate the effectiveness of the proposed robust control method.
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.