Xiaomei Wu;Hao Huang;Junbin Chen;Xiangrui Tong;Ning Tong;Loi Lei Lai
{"title":"Consensus Algorithm-Based Two-Stage Frequency Regulation Strategy With EVs Participating as VSMs","authors":"Xiaomei Wu;Hao Huang;Junbin Chen;Xiangrui Tong;Ning Tong;Loi Lei Lai","doi":"10.1109/TSG.2024.3507012","DOIUrl":null,"url":null,"abstract":"Isolated grids, with large-scale intermittent renewable energy sources (RESs), face more severe frequency stability issues. Fortunately, grid-connected electric vehicles (EVs) present an opportunity to provide frequency services. In this paper, a two-stage frequency regulation strategy, in which EVs participate in the form of a virtual synchronous machine (VSM), is proposed. First, a frequency response (FR) model is established for both charging stations (CSs) and battery swapping stations (BSSs) using VSM control. On this basis, a two-stage strategy is proposed to consider both frequency regulation performance and system economy. Specifically, in the day-ahead stage (DAS), a multi-unit economic dispatch (ED) model is designed to formulate the operation plan; in the real-time stage (RTS), a consensus-based power allocation strategy is designed for multi-units, responsive to real-time market prices. Case studies involving real-world data of load, RES, and CS illustrate the key benefits of the proposed method, including (i) decreasing frequency deviation, (ii) providing extra rotational inertia, and (iii) reducing dispatch costs.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1562-1574"},"PeriodicalIF":8.6000,"publicationDate":"2024-11-29","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/10771824/","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
Isolated grids, with large-scale intermittent renewable energy sources (RESs), face more severe frequency stability issues. Fortunately, grid-connected electric vehicles (EVs) present an opportunity to provide frequency services. In this paper, a two-stage frequency regulation strategy, in which EVs participate in the form of a virtual synchronous machine (VSM), is proposed. First, a frequency response (FR) model is established for both charging stations (CSs) and battery swapping stations (BSSs) using VSM control. On this basis, a two-stage strategy is proposed to consider both frequency regulation performance and system economy. Specifically, in the day-ahead stage (DAS), a multi-unit economic dispatch (ED) model is designed to formulate the operation plan; in the real-time stage (RTS), a consensus-based power allocation strategy is designed for multi-units, responsive to real-time market prices. Case studies involving real-world data of load, RES, and CS illustrate the key benefits of the proposed method, including (i) decreasing frequency deviation, (ii) providing extra rotational inertia, and (iii) reducing dispatch costs.
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.