Study on the Prediction of Line Loss Rate Based on the Improved RBF Neural Network

Ye Ren; Xiu Ge Zhang; Xun Cheng Huang

doi:10.4028/www.scientific.net/AMR.915-916.1292

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 915-916Study on the Prediction of Line Loss Rate Based on...

Study on the Prediction of Line Loss Rate Based on the Improved RBF Neural Network

Abstract:

According to characteristics of medium voltage distribution network, use raw data that are easily collected to study an accurate fast and simple line loss calculation method of the medium voltage distribution network, that is the radial basis function neural network algorithm. In order to improve the power system line loss rate accuracy, the paper puts forward using alternating gradient algorithm to improve the radial basis function (RBF) neural network. The simulation results show that the algorithm is feasible.

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Periodical:

Advanced Materials Research (Volumes 915-916)

Pages:

1292-1295

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.915-916.1292

Citation:

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Online since:

April 2014

Authors:

Ye Ren*, Xiu Ge Zhang, Xun Cheng Huang

Keywords:

Alternating Gradient Algorithm, Line Loss, Power System, Radial Basis Function (RBF) Neural Network

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* - Corresponding Author

References

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