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Enhancing Resilience of Distributed Resource Coordinated Configuration in Distribution Networks Under Typhoon Disaster

XIONG Yongkang1,2, DU Yun2, ZENG Zhenfeng2, SHU Zhan1, XIN Jianbo1, SONG Guanhong2*   

  1. 1.Electric Power Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330096, Jiangxi Province, China; 2.School of Information Engineering, Nanchang University, Nanchang 330031, Jiangxi Province, China
  • Supported by:
    Jiangxi Province National Natural Science Foundation Project (20232BAB212021).

Abstract: [Objectives] With the increase of electrical equipment and frequent natural disasters, human society's demand for reliable power supply of distribution networks is constantly increasing. Therefore, a strategy of optimizing distributed resource cooperative allocation based on typhoon disaster was proposed.[Methods] First of all, the power supply recovery potential of electric vehicle users participating in typhoon disasters was fully considered, and the power grid failure and electric vehicle pre-disaster scheduling model under typhoon disasters was constructed. Then, aiming at the lowest load loss cost and network fault risk cost, the optimal allocation model of distributed new energy was established. Finally, taking IEEE 33 node system as an example, three scenarios were set up for comparative study.[Results] The comparative analysis results of the three scenarios show that the proposed strategy can simultaneously achieve the average power loss reduction percentage, the accumulated branch overlimit power and the comprehensive minimum. Among them, the average power loss reduction percentage is 95.53%, and the cumulative power exceeding limit and reduction rate of branches are 29.23%.[Conclusions] In the case of typhoon disaster, the proposed strategy can effectively restore the system load loss, improve the elasticity of the power grid, and reduce the operation risk of the system.

Key words: typhoon disaster, distributed resources, electric vehicle dispatch, grid resilience, multi-source coordination, distribution network