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      Distribution network regional opportunity maintenance model design considering total supply capability upgrade of distributed power

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          Abstract

          Because the existing maintenance models are not statistically analyzed, the maintenance effect is not ideal. Therefore, a distribution network area opportunistic maintenance model considering the total supply capability promotion of distributed generation is designed to achieve the total supply capability promotion and reduce the network loss rate after maintenance. Considering multiple time scales, the distribution network total supply capability model is constructed, and the improved repetitive power flow algorithm is used to count the model; taking the total supply capability model as the reliability basis of the distribution network system, and the maximum power supply capacity as the goal, the regional opportunistic maintenance model of total supply capability promotion is constructed, and the model is used to determine the area to be repaired, fully considering the reliability requirements of the distribution system, and combining with the node depth coding technology and the simulation Genetic algorithm optimizes the network structure, realizes the network reconfiguration, and completes the model solution. Through the analysis of the actual data, using this model to repair the regional equipment of distribution network can obtain good maintenance results. After the completion of maintenance, the network loss rate is low, but the total supply capability is high, which has good maintenance effect.

          Author and article information

          Contributors
          Journal
          International Journal of Emerging Electric Power Systems
          Walter de Gruyter GmbH
          2194-5756
          1553-779X
          February 25 2022
          February 25 2022
          : 0
          : 0
          Affiliations
          [1 ]Zhejiang Huayun Electric Power Engineering Design Consulting Co., Ltd. , Zhejiang Hangzhou , 310000 , China
          [2 ]State Grid Zhejiang Electric Power Co., Ltd. , Zhejiang Hangzhou , 310007 , China
          [3 ]Zhejiang Huayun Information Technology Co., Ltd. , Zhejiang Hangzhou , 310030 , China
          [4 ]Department of Electrical Engineering, Shanghai Jiao Tong University , Shanghai , 200240 , China
          Article
          10.1515/ijeeps-2021-0394
          54705662-b0ec-41a2-9530-3323a5070eac
          © 2022
          History

          Sustainable & Green chemistry,Materials for energy,Chemistry,Batteries & Fuel cells,Industrial chemistry,Materials science

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