Abstract

There are many freshwater fisheries in China, and the potential for all-electric operation mode of freshwater fisheries with distributed generation is huge. The electrical equipment of the all-electric operation freshwater fishery is susceptible to extreme weather and the reliability of power supply is low. This often causes great economic losses to the fishery, and it is particularly important to improve the stability of the fishing distribution network in response to such problems in the supply and distribution of electricity to the fishery.Therefore, this paper introduces the distribution network resilience model to characterize the ability of the grid to resist extreme weather, and takes the IEEE-30 node network as an example, respectively calculate the original distribution network resilience index and the distribution network resilience index after adding DG in typical extreme weather scenarios, and verify the positive effect of distributed power supply on the distribution network resilience. First, the analysis of the influence of extreme weather on the distribution network model, the quantitative relationship between weather elements and power grid failure rate based on extreme weather occurrence is established; Next, selection method of distribution network based on system information entropy, The selection of fault scenarios should be based on the time-variable fault rate of the distribution network, Select according to the probability and possibility of the scene, Thus, the fault scenario to be analyzed is effectively obtained in extreme weather; Once more, according to the degree of —— load loss and recovery time of the main factors considered in the resilience of the distribution network, Establishing the calculation method of the resilience assessment index of the distribution network; Last, Through simulation examples, Calculated that in typical extreme weather scenarios, The original distribution network resilience index is 0.665, but the distribution network resilience index after being connected to DG is increased to 0.794, The effectiveness of the resilience analysis method and the positive effect of DG access on improving the resilience of the power grid are verified.

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