|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 1; 2; Wang 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:

[1] 高大威,孙孝瑞.基于自适应线性神经元网络的三相畸变电流检测方法及实现[J].中国电机工程学报,2001,21(3):50-53.
Gao Dawei,Sun Xiaorui.A detecting approach of three-phase distortion currents based on adaptive linear neural network and its being realized[J].Proceedings of the CSEE,2001,21(3):50-53.
[2]Tey L H,So P L,Chu Y C.Improvement of power quality using adaptive shunt active filter[J].IEEE Transactions on Power Delivery,2005,20(2):1558-1568.
[3]何娜,黄丽娜,武健,等.一种新型快速自适应谐波检测算法[J].中国电机工程学报,2008,28(22):124-129.
He Na,Huang Lina,Wu Jian,et al.A novel adaptive harmonic detecting algorithm[J].Proceedings of the CSEE,2008,28(22):124-129.
[4]周海亮,万健如,李树超,等.电压畸变和不平衡状态下无锁相环UPQC补偿量检测方法[J].电力自动化设备,2012,32(5):50-56.
Zhou Hailiang,Wan Jianru,Li Shuchao,et al.Compensation detection for UPQC without PLL under voltage distortion and unbalance[J].Electric Power Automation Equipment,2012,32(5):50-56.
[5]谢少辉.基于神经网络的电能质量控制器的研究[D].北京:华北电力大学电气与电子工程学院,2009.
[6]赵小林.并联型三相四线制有源电力滤波器的研究[D].无锡:江南大学机械工程学院,2012.

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Last Update: 2015-04-30