Enhancing Distribution System Resilience With Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration

被引:73
作者
Liu, Jiancun [1 ]
Qin, Chao [1 ]
Yu, Yixin [1 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
关键词
Fast fault isolation; multi-stage recovery process; proactive islanding; remote-controlled switches; resilience; NETWORK RECONFIGURATION; ENHANCEMENT; EXTREME; MICROGRIDS; ALGORITHM;
D O I
10.1109/TSG.2019.2953716
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
The resilience of power systems against extreme events has become a growing concern in recent years. In view of the fact that the resilience of a distribution system depends on its system function throughout the entire multi-stage recovery process after extreme events, and to comprehensively improve the abilities of distribution systems in resisting and rapidly recovering from extreme events, it is necessary to consider this multi-stage recovery process. In this paper, a novel resilience enhancement method is proposed, where proactive islanding and RCS (remote-controlled switch)-based fast fault isolation and service restoration are comprehensively considered to improve the abilities of distribution systems in resisting and rapidly recovering from extreme events. The multi-stage recovery process is modeled in detail, including the topological and operational constraints of each stage in the multi-stage recovery process, as well as the coupling relationship among the stages. The model is formulated as a mixed-integer linear programming problem and applies to scenarios where the network topology varies. Resilience metrics based on the proposed method are introduced to evaluate the resilience level. Case studies on the IEEE 33-bus system and the real-world 94-bus system show that the proposed method is effective at resilience enhancement.
引用
收藏
页码:2381 / 2395
页数:15
相关论文
共 38 条
  • [1] A scenario decomposition algorithm for 0-1 stochastic programs
    Ahmed, Shabbir
    [J]. OPERATIONS RESEARCH LETTERS, 2013, 41 (06) : 565 - 569
  • [2] Towards Proactive Scheduling of Microgrids Against Extreme Floods
    Amirioun, M. H.
    Aminifar, F.
    Lesani, H.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) : 3900 - 3902
  • [3] Resilience-Oriented Proactive Management of Microgrids Against Windstorms
    Amirioun, M. H.
    Aminifar, F.
    Lesani, H.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (04) : 4275 - 4284
  • [4] [Anonymous], THESIS
  • [5] NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING
    BARAN, ME
    WU, FF
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) : 1401 - 1407
  • [6] AHP Decision-Making Algorithm to Allocate Remotely Controlled Switches in Distribution Networks
    Bernardon, Daniel Pinheiro
    Sperandio, Mauricio
    Garcia, Vinicius Jacques
    Canha, Luciane Neves
    Abaide, Alzenira da Rosa
    Boeck Daza, Eric Fernando
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (03) : 1884 - 1892
  • [7] Battling the Extreme: A Study on the Power System Resilience
    Bie, Zhaohong
    Lin, Yanling
    Li, Gengfeng
    Li, Furong
    [J]. PROCEEDINGS OF THE IEEE, 2017, 105 (07) : 1253 - 1266
  • [8] Adaptive Formation of Microgrids With Mobile Emergency Resources for Critical Service Restoration in Extreme Conditions
    Che, Liang
    Shahidehpour, Mohammad
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (01) : 742 - 753
  • [9] Switch Allocation Problems in Power Distribution Systems
    de Assis, Laura Silva
    Vizcaino Gonzalez, Jose Federico
    Usberti, Fabio Luiz
    Lyra, Christiano
    Cavellucci, Celso
    Von Zuben, Fernando J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) : 246 - 253
  • [10] de Assis LS, 2012, IEEE POW ENER SOC GE