Importance degree classification method and device for power consumers

Abstract

The embodiment of the invention provides an importance degree classification method and device for power consumers. The method comprises the steps: building an evaluation model for the importance degree classification of the power consumers, and obtaining the weight of each evaluation index in the evaluation model through the calculation of an analytic hierarchy process; acquiring data of each evaluation index in the evaluation model corresponding to the power consumer sample and the target power consumer, and preprocessing the data of each evaluation index; according to the weight of each evaluation index in the evaluation model and the preprocessed data corresponding to the power consumer sample, utilizing an improved FCM clustering algorithm to obtain each clustering center of the powerconsumer sample; According to the preprocessed data corresponding to the target power consumer, calculating an Euclidean distance between the target power consumer and each clustering center, and determining an importance degree classification result of the target power consumer according to the Euclidean distance. The embodiment of the invention can scientifically and objectively classify the power consumers to an important degree.

Description

technical field [0001] The embodiments of the present invention relate to the field of electric power technology, and more specifically, to a method and device for classifying the importance of electric power users. Background technique [0002] Important power users refer to the power users within the power supply range of the power grid who occupy an important position in the social and economic life of the country or the city, and interruption of power supply may cause personal casualties, greater environmental pollution, greater economic losses, and seriously affect social public order . The power system should guarantee continuous and reliable power supply for important power users. Therefore, it is particularly important to classify the importance of power users. [0003] At present, the classification methods for important power users in my country are all artificial experience classification methods, which lack scientificity and objectivity, and most of them only c...

AI Technical Summary

Problems solved by technology

[0003] At present, the methods for classifying important power users in my country are all artificial experience classification methods, which lack scientificity and objectivity, and most of them only consider the reliability of power supply, and fail to fully consider the attributes of power users in all aspects

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