A Method for Enhancing the Resilience of Active Distribution Networks Based on Island Generation

被引:0
|
作者
Xu, Xiaotong [1 ]
Lu, Tianguang [1 ]
Wu, Qinzheng [1 ]
Liu, Hao [1 ]
Yi, Xinning [1 ]
Shi, Lei [1 ]
Zeng, Haibin [1 ]
机构
[1] Shandong Univ, Sch Elect Engn, Jinan, Peoples R China
关键词
Resilient; Isolated Operation; Distributed Renewable Energy; Optimization Dispatch; DISTRIBUTION-SYSTEMS; ENHANCEMENT;
D O I
10.1109/CEEPE62022.2024.10586475
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the past two decades, the frequency of typhoon disasters has gradually increased, causing severe impacts on the operation of distribution networks. This paper proposes a method for enhancing the resilience of active distribution networks based on island generation. Firstly, by utilizing the flexible switches and standby interconnection lines of the distribution network for network reconfiguration, it divides the network into several islands centered around distributed energy resources and energy storage systems. It also uses the affiliation between nodes and specific islands to map to the circuit's on/off status, ensuring the radial topology of the generated island areas. Secondly, it comprehensively dispatches distributed power sources and energy storage components within the region to maintain the normal operation of the distribution network during disasters, minimizing load shedding and reducing network losses. Lastly, considering the uncertainty of distributed power source outputs, the model is formulated as an uncertain mixed-integer linear programming problem. It was simulated and validated in the IEEE 33-node standard distribution system, and then the economic losses of the distribution network under different disaster scenarios were compared.
引用
收藏
页码:642 / 646
页数:5
相关论文
共 50 条
  • [1] Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method
    Xu, Lin
    Fan, Songhai
    Zhang, Hua
    Xiong, Jiayu
    Liu, Chang
    Mo, Site
    ENERGIES, 2023, 16 (22)
  • [2] Distributed generation optimal configuration method for active distribution networks based on robust optimization
    Ling W.
    Liu G.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (15): : 141 - 148
  • [3] A novel fault recovery method of active distribution networks oriented to improving resilience
    Chen, Lei
    Jiang, Yuqi
    Deng, Xinyi
    Chen, Hongkun
    Zheng, Shencong
    ENERGY REPORTS, 2022, 8 : 456 - 466
  • [4] Guest Editorial: Enhancing hosting capability for renewable energy generation in active distribution networks
    Yang, Jiajia
    Dong, Z. Y.
    Wen, Fushuan
    Sioshansi, Ramteen
    Hesamzadeh, Mohammad
    Chen, Qixin
    Zhou, Yue
    IET RENEWABLE POWER GENERATION, 2022, 16 (04) : 651 - 654
  • [5] A Cooperative Planning Framework for Enhancing Resilience of Active Distribution Networks With Integrated VPPs Under Catastrophic Emergencies
    Mohy-ud-din, Ghulam
    Muttaqi, Kashem M.
    Sutanto, Danny
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (03) : 3029 - 3043
  • [6] Decision and Control Approaches for Enhancing the Resilience of Distribution Networks: a Survey
    Cavone, Graziana
    Carli, Raffaele
    Dotoli, Mariagrazia
    IFAC PAPERSONLINE, 2022, 55 (40): : 271 - 276
  • [7] A Key Pre-Distribution Scheme Based on μ-PBIBD for Enhancing Resilience in Wireless Sensor Networks
    Yuan, Qi
    Ma, Chunguang
    Yu, Haitao
    Bian, Xuefen
    SENSORS, 2018, 18 (05)
  • [8] Security-aware stochastic optimization method for operating active distribution networks with resilience enhancement
    Liu, Jia
    Tang, Zao
    Zeng, Peter Pingliang
    Li, Yalou
    Wu, Qiuwei
    ENERGY REPORTS, 2021, 7 : 593 - 602
  • [9] Enhancing the distribution networks stability using distributed generation
    Jurado, F
    Carpio, J
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2005, 24 (01) : 107 - 126
  • [10] Reduction Method for Active Distribution Networks
    Raboni, Pietro
    Chen, Zhe
    2013 IEEE GRENOBLE POWERTECH (POWERTECH), 2013,