Power consumer industry dimension power utilization mode identification and analysis method and system based on biclustering method

Abstract

The invention discloses a power consumer industry dimension power utilization mode identification and analysis method and system based on a biclustering method, and belongs to the technical field of power system load characteristic analysis. The method comprises: forming typical daily load data of each power consumer in the same industry through a method of calculating an average value; carrying out first load clustering by adopting a Ward clustering algorithm, and carrying out second clustering by taking a result of the Ward clustering algorithm as an initial value of an FCM clustering algorithm to obtain different power consumption modes of power consumers in the industry, thereby finishing power consumption mode identification analysis of the power consumer industry dimension. Accordingto the method, the reasonable initial value is generated through the Ward clustering method and substituted into the FCM clustering algorithm to analyze the power consumption mode of the user, and the problem that the clustering effect is poor due to initial value sensitivity of a traditional clustering method is solved.

Description

technical field [0001] The invention belongs to the technical field of power system load characteristic analysis, and in particular relates to a method and system for identifying and analyzing power consumption patterns in the industry dimension of power users based on a double-clustering method. Background technique [0002] With the continuous development of the power system, the imbalance between supply and demand in today's power grid has become more and more serious, and user-side resources have also received more attention. Due to the limited effect of traditional power generation dispatching on the problem of electricity shortage, load regulation is gradually becoming a key means to deal with electricity problems. As a demand-side schedulable resource, user load resources can achieve the purpose of reducing peak-to-valley differences, enrich the adjustment methods for power grid operation scheduling, and help alleviate the pressure on the power grid caused by the cont...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, and propose a method and system for identifying and analyzing power consumption patterns in the power user industry dimension based on the double clustering method, which solves the problem of lack of application due to the initial value sensitivity of the clustering method Problems in the identification and analysis of electricity consumption patterns for the user's industry dimension

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