Multi-disaster power distribution network elasticity evaluation method considering fault linkage

Abstract

The invention discloses a multi-disaster power distribution network elasticity evaluation method considering fault linkage. The method comprises the following steps: S1, modeling a plurality of disaster characteristic fault rates; S2, on the basis of sequential Monte Carlo simulation, reserving time sequence characteristics of elements in the disaster process, and establishing an element operation state model composed of a basic range fault rate and a characteristic fault rate; s3, analyzing the nonlinear correlation degree of the equal trend state representation quantity sequences of the lines and the nodes under the N-1 and N-2 scene sets through a grey theory, and establishing a coupling relationship between fault scenes; s4, establishing an LLD index, an SEDT index and an economic index which comprehensively consider the load loss degree and the maximum frequency change rate at the initial moment of active unbalance, forming a weighted elasticity-economic space evaluation system, and performing elasticity evaluation by measuring the composite entropy weight Euclidean distance between a scene set point cluster center and a perfect elastic point. Fault linkage in the disaster process can be prevented and inhibited, and the elasticity of a power transmission network in extreme weather is improved.

Description

technical field [0001] The invention relates to the technical field of power grid index evaluation, in particular to a multi-disaster distribution network resilience evaluation method considering fault chaining. Background technique [0002] Resilience is the ability of a system to resist, adapt and quickly recover from disturbance events. With the increasing number of natural disasters around the world, building a "resilient grid" that is resilient to extreme disturbance events has received more and more attention. As the key link of power transmission, the distribution network has a relatively complex structure and a large scale. Under the background of high failure rate of electrical components caused by extreme weather, the hidden danger of fault cascading is particularly prominent. Current resilience assessment methods tend to ignore the risk of cascading failures, and use probability-weighted scenario consequences to increase the speed of assessment. However, the dist...

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Problems solved by technology

Current resilience assessment methods tend to ignore the risk of cascading failures, and use probability-weighted scenario consequences to increase the speed of assessment. However, the distribution network has a high voltage level and a large scale, and ignores the prominent cascading failures when disasters lead to high failure rates of components. Hidden dangers are unreasonable

In terms of elasticity improvement strategies, the distribution network often uses a large number of configurable resources such as: energy storage site selection and capacity adjustment, load switching, user demand side response, network structure reconstruction, etc. to improve the elasticity of the power grid. Larger, the above elastic improvement strategy for the distribution network cannot be directly migrated

[0003] The current distribution network resilience evaluation index is limited to the combination of elastic trapezoidal area and time index to a certain extent, and lacks the consideration of fault cascading. Therefore, how to consider the coupling of fault scenarios and establish a more complete multi-hazard distribution network resilience index evaluation system becomes an urgent problem

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