Application Research of BP Neural Network Algorithm in Power Line Loss Calculation

Author:

Dai Su,Ma Yunlong,Wang Kai,Liu Bowen,Liu Changming

Abstract

Abstract In recent years, it is still a difficult problem to calculate the line loss of distribution system. The main reason is that China’s power system data is not perfect, the components are huge, the management function does not exist, the network structure is directly connected. Therefore, reducing the loss rate of power system has become an urgent problem for energy companies to solve. Developing effective methods for line loss reduction evidence and line loss assessment requires careful calculation and analysis of line loss, which ultimately contributes to and guides line loss management.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. Research on the Improvement of BP Neural Network Algorithm and its Application [J];Kai,2014

2. Research and Application of BP Neural Network in Specific Power Harmonic Detection [J];Wang,2012

3. Application of the GA-BP Neural Network in Earthwork Calculation [J];Fang,2018

4. The autoassociative neural network in signal analysis: III. Enhancing the reliability of a NN with application to a BWR [J];Marseguerra;Annals of Nuclear Energy,2006

5. Harmonics Identification with Artificial Neural Networks: Application to Active Power Filtering [J];Nguyen;International Journal of Emerging Electric Power Systems,2011

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