Cloud-model-based power distribution network fault risk identification method

Abstract

The invention relates to a cloud-model-based power distribution network fault risk identification method. The cloud-model-based power distribution network fault risk identification method is used for solving the problem of identification of a plurality of risk factors which caused power distribution network fault outage and extraction of key risk sources, influences of different outage risk factors on power distribution network fault outage and mapping establishment and achievement between every risk factor and risk assessment results. The technical method adopted in the cloud-model-based power distribution network fault risk identification method comprises digging information of useful values from fault risk assessment indexes through application of advantages of a cloud model in aspect of uncertainty processing, viewing comprehensive assessment results of an index system as representation of severity of power distribution network fault outage risks, utilizing an expected value, entropy and excess entropy of the cloud model to achieve quantitative and qualitative conversion, and correctly achieving fault risk assessment when fault risk index data is not complete. The cloud-model-based power distribution network fault risk identification method achieves risk source identification of a power distribution network fault, provides theoretical basis for relevant departments to take control measures and reduce and prevent risks and has significant economic benefits and social benefits.

Description

technical field [0001] The invention relates to a risk assessment method of a power system, in particular to a fault risk assessment of a distribution network, and belongs to the technical fields of risk assessment and distribution automation. Background technique [0002] With the development of smart grid and the improvement of users' requirements for power supply quality and reliability, it is more and more important to establish a complete power system emergency management system. The distribution network directly faces users and is an important link to ensure the quality of power supply. Compared with the transmission network, the configuration of distribution network protection and control devices is relatively simple, and it is extremely vulnerable to failures caused by various factors. Therefore, it is imperative to study a reliable distribution network fault risk identification method. Distribution network failure risk identification is to predict the risk of failu...

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Problems solved by technology

There are few traditional distribution network fault risk identification methods, and in the severity judgment of risk assessment, it often relies on expert experience, which is greatly influenced by the subjectivity of experts, and is prone to deviation, resulting in inaccurate risk assessment results. High, meaningless, see literature Ma Peiyu (Ma Peiyu). The Research on the Operational Risk Identification and Prevention of Distribution Systems. North China Electric Power University, Baoding (North China Electric Power University, Baoding) , 2011

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