Yukang Shen;Wenchuan Wu;Qi Wang;Yong Li;Sun Li;Wei Teng
{"title":"Hierarchical Coordinated Automatic Generation Control Involving Distributed Energy Resources: An Aggregation Approach","authors":"Yukang Shen;Wenchuan Wu;Qi Wang;Yong Li;Sun Li;Wei Teng","doi":"10.1109/TSG.2024.3493124","DOIUrl":null,"url":null,"abstract":"The distributed energy resources (DERs) need to provide ancillary services due to their increasing penetration level in distribution networks (DNs). This paper proposes a hierarchically coordinated automatic generation control (AGC) scheme for the multi-level power grids, to facilitate the DERs to provide AGC service, while ensuring the operational security of the host DNs. Each DN is formulated as an individual AGC participating entity to reduce the computational and communication burden of the transmission system operator (TSO). The distribution system operator (DSO) aggregates its managed DER clusters as a whole, and evaluates the equivalent aggregation dynamic model as well as the regulation capacity. The regulation capacity is evaluated using an optimization program that consider device and network constraints, and prediction uncertainties. The aggregation dynamic model is estimated based on the curve-fitting, which represents the external power response characteristics of the DN as a second-order state-space model. In addition, P-Q affine regulation strategy is employed to coordinate frequency and voltage control. The active and reactive power commands are simultaneously allocated to DER clusters to eliminate voltage violations arising from providing AGC services. Case studies conducted on a multi-level power grid verify the effectiveness and scalability of the proposed method.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1379-1391"},"PeriodicalIF":9.8000,"publicationDate":"2024-11-07","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/10746554/","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
The distributed energy resources (DERs) need to provide ancillary services due to their increasing penetration level in distribution networks (DNs). This paper proposes a hierarchically coordinated automatic generation control (AGC) scheme for the multi-level power grids, to facilitate the DERs to provide AGC service, while ensuring the operational security of the host DNs. Each DN is formulated as an individual AGC participating entity to reduce the computational and communication burden of the transmission system operator (TSO). The distribution system operator (DSO) aggregates its managed DER clusters as a whole, and evaluates the equivalent aggregation dynamic model as well as the regulation capacity. The regulation capacity is evaluated using an optimization program that consider device and network constraints, and prediction uncertainties. The aggregation dynamic model is estimated based on the curve-fitting, which represents the external power response characteristics of the DN as a second-order state-space model. In addition, P-Q affine regulation strategy is employed to coordinate frequency and voltage control. The active and reactive power commands are simultaneously allocated to DER clusters to eliminate voltage violations arising from providing AGC services. Case studies conducted on a multi-level power grid verify the effectiveness and scalability of the proposed method.
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.