Low-voltage area network user electric load characteristic analysis method

Abstract

The invention relates to a low-voltage area network user electric load characteristic analysis method. The method comprises the following specific steps: (1) determining electric load characteristic indexes of the users in the low-voltage area network; (2) according to the determined user power consumption load characteristic index, carrying out standardization processing on the low-voltage area network user power consumption information; (3) performing clustering analysis on the standardized power consumption information of the users in the low-voltage area network; (4) analyzing different types of low-voltage area network user power consumption data obtained after clustering analysis; and (5) formulating load management measures according to an analysis result. According to the method, the influence of factors such as temperature, holidays and climate on the power utilization characteristics of the low-voltage area network users is analyzed, the power utilization behaviors of the users are analyzed, then reasonable and effective load management measures are formulated, the economical efficiency of system operation is improved, the power utilization efficiency of the terminal is improved, and energy conservation and emission reduction work is deeply promoted.

Description

technical field [0001] The invention belongs to the field of electric power metering, relates to electricity data mining and analysis technology, in particular to a method for analyzing the characteristics of electricity loads of users in low-voltage station areas. Background technique [0002] Low-voltage station areas are an important part of electricity consumption. Due to the large number and wide distribution of low-voltage electricity consumption by residents, how to establish a standardized processing mode for user electricity consumption data in low-voltage station areas, and extracting from the collected data can effectively reflect different low-voltage stations. The electrical characteristic parameters of the characteristics of the station area, and the classification of the station area through intelligent algorithms, and the construction of a typical station area model have become the focus of attention in this field. [0003] The user's electricity load charact...

AI Technical Summary

Problems solved by technology

In the analysis of user load characteristics in low-voltage station areas, due to the large number of indicators involved in the user's electricity consumption behavior, the randomness of index changes is large, and the indicators generally cannot be added directly, so the difficulty and workload of the analysis are relatively large

From the overall situation of low-voltage load user characteristics analysis, the depth of foreign research is generally not enough, the indicators used for load characteristics in various regions are not completely consistent, and the depth of load characteristic analysis carried out and the accumulation of historical data are also inconsistent.

The main manifestations are: first, there is currently a lack of systematic load and load characteristic analysis methods; second, the load characteristic index is a time-point index, and the load characteristics of different regions and different times cannot be directly superimposed, which makes it difficult to analyze the load characteristics of a large area Third, it is difficult to obtain and process typical load curves of various industries and non-grid system load characteristic curves; fourth, it is difficult to quantitatively analyze the impact of various factors on load characteristics

Therefore, the analysis of load characteristics at home and abroad is mainly based on qualitative analysis, and there are not many methods for effective quantitative analysis.

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