{"title":"考虑到 IBDG 瞬态特性的有源配电网络动态等效电路","authors":"Shanhua Hu;Yalou Li;Xing Zhang;Qing Mu;Pengfei Tian;Yizheng Xu","doi":"10.1109/TSTE.2024.3410289","DOIUrl":null,"url":null,"abstract":"In modern power systems, Inverter-Based Distributed Generators (IBDGs) are rapidly increasing. Their aggregated effects alter the dynamic characteristics of the active distribution network (ADN). However, the typical model of ADNs does not consider the transient characteristics of IBDGs, leading to an inaccurate characterization of the dynamic characteristics of ADNs. This paper proposes an ADN equivalent model that considers the transient characteristics of IBDGs. Firstly, the detailed ADN model with IBDGs and the corresponding typical model are constructed, and the effect of IBDG on the accuracy of the equivalent model under large disturbances is analyzed. To characterize the transient behavior of IBDGs, the Low-Voltage-Ride-Through (LVRT) exit time is introduced. Subsequently, the AGglomerative NESting (AGNES) algorithm is used to cluster IBDGs within ADN based on their LVRT exit times. The determination of several clusters is based on multiple evaluation indexes. Then, a parameterization method is given for an ADN equivalent model structure applicable to IBDG grouping. Finally, the effectiveness of the proposed model is demonstrated by constructing practical engineering. Simulation results illustrate that the proposed model accurately reflects the transient characteristics of ADN and maintains high accuracy under different operating conditions.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"15 4","pages":"2249-2262"},"PeriodicalIF":8.6000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Equivalents of Active Distribution Networks Considering IBDG Transient Characteristics\",\"authors\":\"Shanhua Hu;Yalou Li;Xing Zhang;Qing Mu;Pengfei Tian;Yizheng Xu\",\"doi\":\"10.1109/TSTE.2024.3410289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In modern power systems, Inverter-Based Distributed Generators (IBDGs) are rapidly increasing. Their aggregated effects alter the dynamic characteristics of the active distribution network (ADN). However, the typical model of ADNs does not consider the transient characteristics of IBDGs, leading to an inaccurate characterization of the dynamic characteristics of ADNs. This paper proposes an ADN equivalent model that considers the transient characteristics of IBDGs. Firstly, the detailed ADN model with IBDGs and the corresponding typical model are constructed, and the effect of IBDG on the accuracy of the equivalent model under large disturbances is analyzed. To characterize the transient behavior of IBDGs, the Low-Voltage-Ride-Through (LVRT) exit time is introduced. Subsequently, the AGglomerative NESting (AGNES) algorithm is used to cluster IBDGs within ADN based on their LVRT exit times. The determination of several clusters is based on multiple evaluation indexes. Then, a parameterization method is given for an ADN equivalent model structure applicable to IBDG grouping. Finally, the effectiveness of the proposed model is demonstrated by constructing practical engineering. Simulation results illustrate that the proposed model accurately reflects the transient characteristics of ADN and maintains high accuracy under different operating conditions.\",\"PeriodicalId\":452,\"journal\":{\"name\":\"IEEE Transactions on Sustainable Energy\",\"volume\":\"15 4\",\"pages\":\"2249-2262\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Sustainable Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10551489/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Sustainable Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10551489/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Dynamic Equivalents of Active Distribution Networks Considering IBDG Transient Characteristics
In modern power systems, Inverter-Based Distributed Generators (IBDGs) are rapidly increasing. Their aggregated effects alter the dynamic characteristics of the active distribution network (ADN). However, the typical model of ADNs does not consider the transient characteristics of IBDGs, leading to an inaccurate characterization of the dynamic characteristics of ADNs. This paper proposes an ADN equivalent model that considers the transient characteristics of IBDGs. Firstly, the detailed ADN model with IBDGs and the corresponding typical model are constructed, and the effect of IBDG on the accuracy of the equivalent model under large disturbances is analyzed. To characterize the transient behavior of IBDGs, the Low-Voltage-Ride-Through (LVRT) exit time is introduced. Subsequently, the AGglomerative NESting (AGNES) algorithm is used to cluster IBDGs within ADN based on their LVRT exit times. The determination of several clusters is based on multiple evaluation indexes. Then, a parameterization method is given for an ADN equivalent model structure applicable to IBDG grouping. Finally, the effectiveness of the proposed model is demonstrated by constructing practical engineering. Simulation results illustrate that the proposed model accurately reflects the transient characteristics of ADN and maintains high accuracy under different operating conditions.
期刊介绍:
The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.