|Table of Contents|

Application of adaptive neural network in compensation detection for UPQC

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2015年02期
Page:
225-228
Research Field:
Publishing date:

Info

Title:
Application of adaptive neural network in compensation detection for UPQC
Author(s):
Jiang Yanhua 12Wang Yanwen 1
1.School of Mechanical Electronic and Information Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China; 2.School of Mechanical Engineering,Liaoning Technical University,Fuxin 123000,China
Keywords:
compensation detection unified power quality controllers linear neuron
PACS:
TM76
DOI:
-
Abstract:
A novel compensation detecting method for the unified power quality controller(UPQC)is proposed for improving the power quality of the power grid.The fundamental voltage component is obtained by the online adaptive adjustable learning rate of the linear neuron,positive sequence voltage components of fundamental are extracted based on the symmetrical component method,and the voltage compensation is acquired.By taking advantage of available results,the current compensation is calculated according to the energy balance principle.The results show that the designed UPQC can effectively compensate for the power compensation with fast dynamic response,it has the simple structure and can be easily implemented in hardware.The correctness of the detecting method is proved by simulation results.

References:

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Memo

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Last Update: 2015-04-30