Method for selecting typical load characteristic transformer substation based on multi-source data

A technology of load characteristics and multi-source data, applied in genetic models, electrical digital data processing, genetic rules, etc., can solve problems such as random errors, large differences in load characteristics, and large load peak-to-valley differences

Active Publication Date: 2020-10-02
STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST +2
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Problems solved by technology

In the power consumption structure of the whole society, industrial electricity occupies a large proportion, resulting in a large peak-to-valley difference in load, and the main electrical equipment in different industries is different, resulting in a large difference in the characteristics of the load carried by different substations. In order to further improve the typical substation The representativeness of the industrial load should be considered in the selection process. The disadvantage is that the results of a census are random and the load classification and synthesis will cause certain errors.

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  • Method for selecting typical load characteristic transformer substation based on multi-source data
  • Method for selecting typical load characteristic transformer substation based on multi-source data
  • Method for selecting typical load characteristic transformer substation based on multi-source data

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specific Embodiment

[0161] The typical load site selection method provided by the present invention comprises the following steps:

[0162] 1. Carry out a general survey of load characteristics for all 220kV substations in Jiangxi Power Grid. This load characteristic survey collected 160 sets of valid data;

[0163] 2. Classify substations according to load composition;

[0164] The fuzzy C-means clustering was improved by the genetic simulated annealing algorithm, and the load composition was selected as the feature vector, and the 160 substations were divided into 9 categories. The cluster centers of each category are shown in Table 1 below;

[0165] Table 1 Detailed list of cluster centers

[0166]

[0167] According to the query clustering center and substation membership matrix, substations are grouped according to the principle of maximum subordination, and the grouping results of substations are shown in Table 2 below;

[0168] Table 2 Grouping of substations

[0169]

[0170] ...

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Abstract

The invention relates to the technical field of power system load modeling, in particular to a method for selecting a typical load characteristic transformer substation based on multi-source data. Themethod comprises the steps of conducting load characteristic general survey on transformer substations under the same voltage level of a target power grid to obtain load characteristic data, whereinthe load characteristic data comprise load type data and industry composition data; performing type clustering analysis on the transformer substations according to the load type data, and performing load classification on the transformer substations to obtain a plurality of transformer substation groups with similar load characteristics; performing industry clustering analysis on the transformer substation group according to the industry composition data, and performing industry classification on the transformer substations; and selecting a typical transformer substation capable of representing load characteristics according to the load classification and the industry classification. According to the method, the aggregation theory method is applied to selection of the typical stations, thebasis for selecting the typical stations is provided according to the membership relationship, and a scientific basis is provided for modeling personnel in the process of selecting the typical stations.

Description

technical field [0001] The invention relates to the technical field of power system load modeling, in particular to a method for selecting typical load characteristic substations based on multi-source data. Background technique [0002] Power system load modeling has become a hot spot and key field in the power industry. The power system consists of power plants, transmission networks and power loads. Power loads can be divided into industrial loads, residential loads, commercial loads, agricultural loads and For other loads, in the field of research and application of power system load modeling, the method of establishing a load model through the statistical synthesis method is widely used in actual modeling work because of the advantages of clear physical model and high model accuracy. However, due to the complexity, dispersion and randomness of the load, it is too much work to complete the detailed investigation of all the loads in the power system and then synthesize t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/12G06F113/04
CPCG06F30/27G06N3/126G06F2113/04G06F18/23G06F18/24
Inventor 舒展谌艳红丁贵立陈波段志远康兵程思萌陶翔汪硕承闵泽莺
Owner STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
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