A method for selecting typical load characteristic substations based on multi-source data

Abstract

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. The method includes carrying out a general survey of the load characteristics of substations under the same voltage level of the target power grid to obtain load characteristic data. The load characteristic data includes load type data and industry composition data; performing type cluster analysis on the substations according to the load type data, and performing load analysis on the substations. Classify several substation groups with similar load characteristics; do industry cluster analysis on substation groups according to industry composition data, and classify substations by industry; select typical substations that can represent load characteristics according to load classification and industry classification. The invention uses the aggregation theory method in the selection of typical sites, provides the basis for selecting typical sites according to the affiliation relationship, and provides scientific basis for modeling personnel in the process of selecting typical sites.

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 the...

AI Technical Summary

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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