Zhen-Wei Yu;Li Ding;Qiao Lin;Shi-Rong Zhang;Zhi-Wei Liu
{"title":"Asynchronous Communication-Based Distributed Control Strategy for ON/OFF State Thermostatically Controlled Loads","authors":"Zhen-Wei Yu;Li Ding;Qiao Lin;Shi-Rong Zhang;Zhi-Wei Liu","doi":"10.1109/TSG.2024.3443062","DOIUrl":null,"url":null,"abstract":"Thermostatically controlled loads (TCLs) obtain significant potential for providing auxiliary services to the power grid. Aggregators typically utilize centralized strategies when implementing direct load control (DLC) to manage TCLs, but these strategies consume substantial communication resources when dealing with large-scale TCLs. This paper proposes a distributed control strategy for ON/OFF state TCLs to alleviate the aggregator’s communication burden. The concept of temperature-based priority is introduced to ensure fair scheduling among TCLs. TCLs can determine their priority order in the cluster by communicating with neighboring TCLs and locally decide their operation states to achieve reference power tracking. A sub-priorities splitting method is introduced to further enhance power tracking accuracy. Furthermore, the proposed strategy utilizes an asynchronous communication mechanism in the coordination process, making it highly suitable for practical implementation. The study conducts numerical simulations and semi-physical experiments to validate the practical feasibility of the proposed strategy. The results conclusively demonstrate that the proposed strategy can effectively achieve accurate reference power tracking by the TCLs cluster.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 1","pages":"131-145"},"PeriodicalIF":8.6000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10636803/","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
Thermostatically controlled loads (TCLs) obtain significant potential for providing auxiliary services to the power grid. Aggregators typically utilize centralized strategies when implementing direct load control (DLC) to manage TCLs, but these strategies consume substantial communication resources when dealing with large-scale TCLs. This paper proposes a distributed control strategy for ON/OFF state TCLs to alleviate the aggregator’s communication burden. The concept of temperature-based priority is introduced to ensure fair scheduling among TCLs. TCLs can determine their priority order in the cluster by communicating with neighboring TCLs and locally decide their operation states to achieve reference power tracking. A sub-priorities splitting method is introduced to further enhance power tracking accuracy. Furthermore, the proposed strategy utilizes an asynchronous communication mechanism in the coordination process, making it highly suitable for practical implementation. The study conducts numerical simulations and semi-physical experiments to validate the practical feasibility of the proposed strategy. The results conclusively demonstrate that the proposed strategy can effectively achieve accurate reference power tracking by the TCLs cluster.
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.