Low voltage prediction method for power distribution network based on support vector machine

Abstract

The invention discloses a low-voltage prediction method for a power distribution network based on a support vector machine, and the method comprises the steps: 1), screening out different types of indexes from the formation factors and influence factor of the low voltage of the power distribution network; 2), extracting index sample data from various conventional information systems, and constructing different types of index sets; 3), respectively constructing a low-voltage prediction model for the power distribution network based on the support vector machine and different types of index sets; 4), carrying out the parameter optimization of to-be-optimized parameters in each prediction model through a particle swarm optimization algorithm; 5), substituting the optimized parameters into theprediction models, inputting the index data of a to-be-detected power distribution network into each prediction model, predicting the low voltage of the power distribution network through each prediction model, integrating all prediction results, and obtaining a final low voltage prediction result of the power distribution network. According to the invention, multi-source information is employedfor forming classification index sets, and the method can make the most of the advantages of information diversity of a big data platform, and also can effectively reduce the data dimension and training time of the prediction models.

Description

technical field [0001] The invention relates to power system distribution network technology, in particular to a method for predicting low voltage of a distribution network based on a support vector machine. Background technique [0002] In recent years, with the rapid growth of electricity load, distribution networks (including medium voltage and low voltage) all over the country have experienced low voltage phenomena to varying degrees. Low voltage not only affects the normal and effective work of ordinary electrical appliances, but also causes production interruptions for factories using frequency conversion equipment (frequency converters are more sensitive to voltage amplitudes). Power supply companies at all levels have always paid more attention to low-voltage phenomena. Every year, each power supply company will arrange a certain amount of funds for distribution transformer capacity expansion, reactive power compensation, heavy load line shunt and other projects, bu...

AI Technical Summary

Problems solved by technology

Every year, each power supply company will arrange a certain amount of funds for distribution transformer capacity expansion, reactive power compensation, heavy load line shunt and other projects, but this work is inherently lagging, that is, low voltage situations often occur (at least signs) will be approved for transformation

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