Intelligent power supply restoration in power distribution networks with distubuted generation

被引:0
|
作者
Jiang, L. [1 ]
Yang, Q. [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
关键词
Active distribution network; Distributed generation; Power supply restoration; Topology reconfiguration; DISTRIBUTION-SYSTEM; SERVICE RESTORATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Currently the penetration of various forms of distributed generations (DGs) has significantly increased. Such active distribution network with bidirectional power flows brings direct challenges to network control and operation, e.g. increased fault levels and protection degradation. In this paper, an intelligent sequential power supply restoration solution is presented which can be carried out by either reconfiguring network topology or utilization of the embedded DGs for load supply in an island mode, to restore loads as much and quickly as possible. The proposed restoration model mainly considered three kinds of indicators: load recover rate and the current allowance of influenced branches when opening or closing a switcher, and time cost of changing the status of switchers in the sequential restoration process. What's more, the priority of critical loads were satisfied as far as possible. The performance assessment of two test scenarios is carried out in the 53-bus distributed network and the numerical result verifies the effectiveness of the proposed solution.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] The influence of dispersed generation on power and energy losses in electric power distribution networks
    Brozek, Janusz
    Bachorek, Wojciech
    PRZEGLAD ELEKTROTECHNICZNY, 2009, 85 (03): : 120 - 123
  • [22] Coordinated Power Supply Restoration Method of Resilient Urban Transmission and Distribution Networks Considering Intermittent New Energy
    Yang Q.
    Li G.
    Bie Z.
    Wu J.
    Lin C.
    Liu D.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (07): : 2764 - 2779
  • [23] Robust Power Supply Restoration Method with Coordination of Main Grid and Distribution Networks Based on Reconstruction Level Identification
    Pan, Kaiyan
    Liu, Hongda
    Liu, Yanle
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2025, 49 (02): : 175 - 185
  • [24] Effect of Distributed Generation on Power Supply Reliability of Distribution Network
    Liu, Jinsong
    Zhang, Junyang
    Zhang, Da
    2015 8TH INTERNATIONAL CONFERENCE ON GRID AND DISTRIBUTED COMPUTING (GDC), 2015, : 32 - 35
  • [25] Interactive reconfiguration in power supply restoration
    Hadzic, T
    Andersen, HR
    PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING - CP 2005, PROCEEDINGS, 2005, 3709 : 767 - 771
  • [26] Power quality indices of distribution networks with embedded generation
    Caramia, P.
    Di Perna, C.
    Verde, P.
    Buriola, F.
    Stocco, A.
    Turri, R.
    PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2006, : 1026 - +
  • [27] Security of Supply with Dispersed Integration of Wind Power in Distribution Networks
    Jayaweera, Dilan
    Wee, Raymond C.
    Islam, Syed
    2011 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2011,
  • [28] Power Supply Reliability vs Profitability in Rural Distribution Networks
    Zviedritis, Mareks
    Gavrilovs, Aleksandrs
    Kutjuns, Antons
    2014 9TH INTERNATIONAL ELECTRIC POWER QUALITY AND SUPPLY RELIABILITY CONFERENCE (PQ 2014), 2014, : 335 - 340
  • [29] A Fast Power Service Restoration Method for Distribution Network with Distributed Generation
    Niu, Geng
    Zhou, Long
    Qu, Hui
    Xiao, Tianying
    Pei, Wei
    Qi, Zhiping
    Kong, Li
    2017 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ASIA-PACIFIC (ITEC ASIA-PACIFIC), 2017, : 1586 - 1591
  • [30] Intelligent Traction Power Supply System
    Zakaryukin, Vasilii
    Kryukov, Andrey
    Cherepanov, Aleksandr
    INTERNATIONAL SCIENTIFIC CONFERENCE ENERGY MANAGEMENT OF MUNICIPAL TRANSPORTATION FACILITIES AND TRANSPORT, EMMFT 2017, 2018, 692 : 91 - 99