PCNN for Power Distribution Network

Authors

  • Ming Zheng School of Electrical and Information Engineering, Jiangsu University, Jiangsu Zhengjiang, 212013, P. R. China

DOI

https://doi.org/10.52810/TNIC.2021.100055

Keywords:

Microgrid, PCNN, power quality evaluation, power quality, distribution network

Abstract

Aiming at the nonlinear relationship between the evaluation indexes and the complex grade of power quality, a power quality evaluation method is proposed based on model of pulse coupled neural network (PCNN). The operating schematic is analyzed according to PCNN modeling. The input power quality grade is controlled by threshold value, and the evaluation grade is output by neuron ignition. The evaluation methods between PCNN and fuzzy neural network are compared through the measured data, the results indicate that PCNN method is more scientific and accurate, and provides a new method to solve the problem on power quality evaluation of distribution network containing microgrid.

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PCNN for Power Distribution Network

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Published

2021-06-26

How to Cite

[1]
M. Zheng, “PCNN for Power Distribution Network”, ASP trans.neural inf. comput., vol. 1, no. 1, pp. 5–9, Jun. 2021.

Issue

Section

Regular Paper