DocumentCode :
565746
Title :
DVR control using adaptive PI controller based on human brain learning
Author :
Shamsi-Nejad, Mohammad Ali ; Khalghani, Mohammad Reza
Author_Institution :
Dept. of Electr. Eng., Birjand Univ., Birjand, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
1
Lastpage :
7
Abstract :
Having electricity with high quality is one of the more important aims in electrical systems. Disturbances in distribution systems can change voltage waveform. There are some methods to prepare high power quality for sensitive loads. In this research, we use “Dynamic Voltage Restorer” to compensate the harmful effects of disturbances on voltage. In this paper a fairly novel adaptive method which is based on deciding on the basis of emotions is introduced. This adaptive method which is inspired by human brain learning nature, has been used as self-tuning PI controller. In order to show and investigate the efficiency of proposed algorithm, the results obtained from performance of the proposed controller, has been compared by those of conventional PI controller.
Keywords :
PI control; adaptive control; power distribution control; power supply quality; self-adjusting systems; DVR control; adaptive PI controller; adaptive method; distribution systems; dynamic voltage restorer; electrical systems; electricity quality; harmful effect compensation; human brain learning; power quality; self-tuning PI controller; voltage waveform; DVR compensator; adaptive PI controller; human brain emotional learning; power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power Distribution Networks (EPDC), 2012 Proceedings of 17th Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1418-3
Type :
conf
Filename :
6254572
Link To Document :
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