Typical court classification method and system based on clustering algorithm

Abstract

The invention discloses a typical court classification method and system based on a clustering algorithm, and relates to a court line loss classification technology. The method comprises the following steps: performing line loss calculation through the equivalent relationship between root-mean-square current and maximum current, comparing the electric energy loss generated by the maximum current flowing through the line with the electric energy loss generated by the actual load, achieving clustering analysis of the feeder line path of the court through a feeder line clustering method, and performing layer-by-layer resistance equivalence on the distribution line of the court with a complex structure through an equivalent resistance method to obtain a calculation model with a simple structure; obtaining an average load rate according to the calculation model; finding out an optimal cluster number through load rate feature sequence clustering; classifying the input vectors through self-organizing mapping; and providing line loss information for typical court classification of the clustering algorithm, and carrying out court line loss classification according to the line loss information.

Description

technical field [0001] The invention relates to a line loss classification technology of a station area, in particular to a typical station area classification method and system based on a clustering algorithm. Background technique [0002] With the development of power economics and the implementation of the power market, electricity price reform is an inevitable trend. Establishing a sound time-sharing or classified electricity price system will help optimize the allocation of power resources. To reasonably allocate power costs, in addition to considering the needs of power users The reliability of the load rate requires not only the voltage level, but also the time-sharing power consumption characteristics. It is necessary to study the load curve types of different users. At the same time, in the liberalized power market, end users, as market members, have the right to choose different Power supply providers need to fully understand the electricity consumption characteris...

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Problems solved by technology

[0003] The existing power distribution in the station area cannot analyze the line loss of the daily load curve of the power user, resulting in a phenomenon that the line loss does not match the actual load, resulting in the phenomenon of overload and no-load in the path distribution of the station area, which cannot be formed The reasonable electricity price mechanism and the detailed marketing strategy of the power company make it impossible to formulate load demand management measures, and thus cannot realize the load classification of the station area according to the change of load

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