Clustering fusion method based on user electrical load data subdivision

A technology of electricity load and fusion method, applied in data processing applications, instruments, calculations, etc., can solve the problems of cluster model applicability, poor robustness, analysis results dependent on manual operation, and inability to achieve system solidification.

Active Publication Date: 2013-05-08
GUANGDONG POWER GRID CO LTD INFORMATION CENT
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Problems solved by technology

Since the user's electricity load data is an unbalanced time series data, the time series characteristics of the data structure seriously affect the effect of traditional clustering algorithms
In order to obtain a more reliable clustering effect, it is necessary to m

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  • Clustering fusion method based on user electrical load data subdivision
  • Clustering fusion method based on user electrical load data subdivision
  • Clustering fusion method based on user electrical load data subdivision

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Embodiment Construction

[0056] Attached below Figure 1~4 The principle and process of a clustering and fusion method based on user electricity load data subdivision of the present invention are further described in detail:

[0057] S1 collects data

[0058] Collect the positive active power reading data W of each user in the metering automation system during a specified time period, such as at each hour t within 24 hours of a day t and forward reactive power reading data Var t .

[0059] S2 correction data

[0060] Perform normative proofreading of collected user electricity consumption data:

[0061] S2-1 Delete the reading data W of positive active power and positive reactive power of the above-mentioned user power consumption t 、Var t Redundant data collected or recorded repeatedly;

[0062] S2-2 Find the positive active power and reactive power reading data W of the user's electricity consumption t 、Var t For the missing field in the field, select the user who can be the analysis object...

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Abstract

A clustering fusion method based on user electrical load data subdivision comprises the following steps of (1) collecting data, (2) modifying the data, (3) converting the data, (4) standardizing the data, (5) constructing a pretreatment clustering algorithm set, (6) building a consensus matrix, (7) running the clustering fusion method, and (8) collecting users. Due to the facts that results obtained in different clustering algorithms or in the same clustering algorithm by using different parameters are automatically combined, and a best clustering result can be automatically judged and generated through clustering fusion, the clustering fusion method based on the user electrical load data subdivision has the advantages of improving self-adaption processing capability of a clustering analysis model, reducing dependency degree to priori knowledge in a user electrical load data clustering analysis process, reducing manual operations, and improving automatic degree of the clustering fusion method based on the user electrical load data subdivision.

Description

technical field [0001] The invention relates to the technical field of electric power system load modeling, in particular to a cluster fusion algorithm based on subdivision of user electric load data. Background technique [0002] User load data analysis is an important method for power supply companies to understand the characteristics of user load patterns, and plays an important role in power supply company planning load management, substation construction, and grid operation status evaluation. By studying the characteristics of users' electricity load patterns, it is helpful for power supply companies to understand users more deeply, and to formulate corresponding market strategies and provide targeted personalized services according to different user groups. [0003] The current mainstream research method for subdividing user groups based on user power load data is to use cluster analysis algorithms to intelligently group user power load data based on the shape changes ...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
Inventor 黄剑文陈军苏凯严宇平吴广财莫玉纯陈非张世良蔡嘉荣
Owner GUANGDONG POWER GRID CO LTD INFORMATION CENT
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