High-temperature superconducting cable deployment position determination method and device, and equipment

Abstract

The invention relates to a high-temperature superconducting cable deployment position determination method and device, equipment and a storage medium. The method comprises the steps of obtaining the fault probability of elements in a power distribution network under an extreme event of preset strength and the critical length of a high-temperature superconducting cable corresponding to each element; determining each fault scene according to the fault probability, wherein the fault scene comprises the position of each element and the state of each element; constructing a constraint condition corresponding to each fault scene according to the state and critical length of each element in each fault scene and the operation rule of the power distribution network; determining the position of the target high-temperature superconducting cable according to a preset target function, the constraint condition corresponding to each fault scene and each fault scene, wherein the target function represents the load shedding amount of the user when the extreme event occurs. According to the technical scheme provided by the embodiment of the invention, the restorability of the power distribution network can be improved.

Description

technical field [0001] The present application relates to the field of distribution network technology, in particular to a method, device, equipment and storage medium for determining the deployment location of a high temperature superconducting cable. Background technique [0002] In recent years, extreme events such as natural disasters and man-made attacks have occurred more and more frequently, and the occurrence of extreme events has seriously affected the stable operation of the power system. In order to ensure the stable operation of the power system, it is necessary to improve the resilience of the distribution network. [0003] The resilience of the distribution network can include: the ability of the distribution network to predict extreme events before the occurrence of extreme events, the ability to minimize load shedding during the occurrence of extreme events, and the ability to return to normal operation after the occurrence of extreme events. Ability. At pr...

AI Technical Summary

Problems solved by technology

[0004] However, in this way, when large-scale power flow transfer occurs in the distribution network, the resilience of the distribution network is low.

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