Dynamic reconfiguration of distribution networks considering the real-time topology variation

被引:17
|
作者
Wen, Juan [1 ,2 ]
Tan, Yanghong [1 ]
Jiang, Lin [2 ]
Lei, Kejun [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha, Hunan, Peoples R China
[2] Univ South China, Coll Elect & Informat Engn, Hengyang, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
optimisation; distribution networks; distribution network reconfiguration; distribution system; DS; distribution feeder; switch; fault trip; equipment maintenance; system extension; dynamic reconfiguration method; real-time initial topology variation; optimisation problem; network connectivity restoration; out-of-service area identification; power loss reduction; SERVICE RESTORATION; DISTRIBUTION-SYSTEM; ALGORITHM; RELIABILITY; GENERATION;
D O I
10.1049/iet-gtd.2017.1304
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Network reconfiguration is a vital analysis process for optimising and controlling distribution systems (DSs). Given a stable initial DS, the distribution feeders can be reconfigured by changing the status of the switches to improve the operational performance. Owing to the fault trip, equipment maintenance, and system extension, the removal or addition of a branch can change the structure of the initial topology. This study proposes a dynamic reconfiguration method that considers the real-time initial topology variation. The method combines the dynamic topology analysis with network reconfiguration to address the optimisation problem of the real-time distribution network. A set of independent topological parameters represents the initial topology of a DS. After the changes in the initial topology are detected, the dynamic topology analysis is used to restore network connectivity and identify out-of-service areas. Then the real-time initial topology is obtained by updating the topological parameters. In accordance with network reconfiguration, the optimal configuration is identified to reduce power loss and improve the voltage profile of the real-time distribution network. Illustrative examples verify the effectiveness of the proposed method.
引用
收藏
页码:1509 / 1517
页数:9
相关论文
共 50 条
  • [41] REAL-TIME SERVICE RESTORATION IN DISTRIBUTION NETWORKS - A PRACTICAL APPROACH
    SARMA, NDR
    GHOSH, S
    RAO, KSP
    SRINIVAS, M
    IEEE TRANSACTIONS ON POWER DELIVERY, 1994, 9 (04) : 2064 - 2070
  • [42] IMODBO for Optimal Dynamic Reconfiguration in Active Distribution Networks
    Tu, Naiwei
    Fan, Zuhao
    PROCESSES, 2023, 11 (06)
  • [43] Real-time dynamic MRI using parallel dictionary learning and dynamic total variation
    Wang, Yang
    Cao, Ning
    Liu, Zuojun
    Zhang, Yudong
    NEUROCOMPUTING, 2017, 238 : 410 - 419
  • [44] Kernel-based online learning for real-time voltage control in distribution networks
    Cupelli, Lisette
    Esteban, Alejandro
    Ponci, Ferdinanda
    Monti, Antonello
    IET SMART GRID, 2020, 3 (05) : 638 - 645
  • [45] Real-time operation of distribution network: A deep reinforcement learning-based reconfiguration approach
    Bui, Van-Hai
    Su, Wencong
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 50
  • [46] Implementing Dynamic Network Reconfiguration with Renewables and Considering Future Grid Technologies: A Real Case Study
    Pogeira, Jose
    Santos, Sergio F.
    Fitiwi, Desta Z.
    Cruz, Marco R. M.
    Catalao, Joao P. S.
    2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [47] Dynamic Fault Reconfiguration of Distribution Networks in Ship Power Systems Based on Deep Reinforcement Learning Approach
    Shang, Chengya
    Fu, Lijun
    Bao, Xianqiang
    Xiao, Haipeng
    Xu, Xinghua
    Liu, Lufeng
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 7076 - 7089
  • [48] Robust and Real-time Communication on Heterogeneous Networks for Smart Distribution Grid
    Demir, Kubilay
    Germanus, Daniel
    Suri, Neeraj
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 386 - 391
  • [49] Real-time Implementation of MVDC Shipboard Power System Reconfiguration
    Babaei, Maziar
    Jafari-Marandi, Ruholla
    Abdelwahed, Sherif
    2017 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM (ESTS), 2017, : 514 - 519
  • [50] GPU-based parallel real-time volt/var optimisation for distribution network considering distributed generators
    Huang, Shengjun
    Dinavahi, Venkata
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (20) : 4472 - 4481