Optimal two-stage dispatch method of distribution network emergency resources under extreme weather disasters

被引:1
作者
Qin, Chao [1 ]
Lu, Jiani [1 ]
Zeng, Yongkang [1 ]
Liu, Jiancun [2 ]
Wu, Guilian [3 ]
Chen, Hao [3 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China
[2] Tianjin Univ Technol, Sch Elect Engn & Automat, Tianjin 300384, Peoples R China
[3] State Grid Fujian Elect Power Co Ltd, Econ Technol Res Inst, Fuzhou, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Distribution network; Extreme weather; Mobile emergency generator; Proactive island; Fault repair; Dynamic network reconfiguration; DISTRIBUTION-SYSTEM RESTORATION; RESILIENCE ASSESSMENT; ENHANCEMENT; MODEL;
D O I
10.1016/j.segan.2024.101321
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
In recent years, frequent extreme weather disasters have posed severe challenges to the safe and reliable power supply of distribution networks. In this paper, a resilience enhancement method is proposed for distribution networks, which establishes the full-phase analytical modeling of the distribution system defense and recovery process under extreme events, i.e., pre-event phase, degradation phase and restoration phase. Before a disaster strikes, multiple emergency resources are pre-allocated, including mobile emergency generators (MEGs) and repair crews and proactive islands are formed to improve the resistance of distribution networks to extreme weather disasters. After the disaster, real-time dispatching of MEGs and repair crews is coordinated with dynamic network reconfiguration, which considers the coupling processes among fault isolation, fault repair, and load restoration to improve the recovery ability of distribution networks. The IEEE 123-bus distribution system is used to verify the effectiveness and efficiency of the proposed method in enhancing the survivability of loads and the rapid recovery ability of distribution networks.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Two-stage Evaluation Method of Dynamic Network DEA
    Liu, Jianyong
    Pang, Kun
    Li, Ling
    Fu, Chengqun
    Guo, Jie
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 583 - 588
  • [22] An SOCP approach to a two-stage network DEA with feedbacks and shared resources
    Golsefid, N. Torabi
    Salahi, M.
    OPSEARCH, 2023, 60 (03) : 1153 - 1178
  • [23] A two-stage stochastic optimization for disaster rescue resource distribution considering multiple disasters
    Wang, Bochen
    Deng, Weiliang
    Tan, Zheyi
    Zhang, Binqi
    Chen, Fengli
    ENGINEERING OPTIMIZATION, 2024, 56 (01) : 1 - 17
  • [24] Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming
    Hou, Hui
    Tang, Junyi
    Zhang, Zhiwei
    Wang, Zhuo
    Wei, Ruizeng
    Wang, Lei
    He, Huan
    Wu, Xixiu
    APPLIED ENERGY, 2023, 338
  • [25] A day-ahead two-stage optimal scheduling model for distribution network containing distributed generations
    Meng, Xiaoli
    Gao, Jun
    Sheng, Wanxing
    Gu, Wei
    Zhu, Junpeng
    Fan, Wenfei
    Dianwang Jishu/Power System Technology, 2015, 39 (05): : 1294 - 1300
  • [26] Two-stage Optimal Operation Strategy of Distribution Network Considering Orderly Charging and Discharging of Electric Vehicles
    Dong Guangde
    Chen Yongtao
    Zhu Xiaojun
    Chen Tao
    Xu Zhenyu
    Zhou Niancheng
    Tian Yuhe
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 1044 - 1052
  • [27] Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
    Zhuo, Yixin
    Li, Ling
    Tang, Jian
    Meng, Wenchuan
    Huang, Zhanhong
    Huang, Kui
    Hu, Jiaqiu
    Qin, Yiming
    Zhan, Houjian
    Liang, Zhencheng
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (08) : 14353 - 14376
  • [28] A Method for Optimal Allocation of Distribution Network Resources Considering Power-Communication Network Coupling
    Sun, Kaitao
    Liu, Jiancun
    Qin, Chao
    Chen, Xi
    ENERGIES, 2025, 18 (03)
  • [29] Resilience-oriented distributed generation planning of distribution network under multiple extreme weather conditions
    Zhou, Junji
    Wu, Xiong
    Zhang, Xuhan
    Xiao, Fengshuo
    Zhang, Yifan
    Wang, Xiuli
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2025, 42
  • [30] Virtual power plants planning in the distribution network constrained to system resiliency under extreme weather events
    Dehghan, Mohammad
    Zadehbagheri, Mahmoud
    Kiani, Mohammad Javad
    Nejatian, Samad
    ENERGY REPORTS, 2023, 9 : 4243 - 4256