The fast variations in the source voltage can affect the performance of the loads such as (a) semiconductor fabrication plants (b) paper mills (c) food processing plants and (d) automotive assembly plants. The common disturbances in the source voltages are the voltage sags or voltage swells this can be due to (i) disturbances arising in the transmission system, (ii) adjacent feeder faults and (iii) fuse or breaker operation. Voltage sags of 10% lasting for 5-10 cycles can result in costly damage in the loads. To mitigate the problems of poor quality power supply, voltage source converters can be connected in series with transmission lines as compensators. These are known as Dynamic Voltage Restorer (DVR) or Static Voltage Restorer. In this paper, a new scheme to control DVR using adaptive neuro fuzzy logic is proposed. In this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system. Also, instantaneous power theory is used to calculate the phase voltage due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox.
| Published in |
International Journal of Energy and Power Engineering (Volume 5, Issue 2-1)
This article belongs to the Special Issue Modeling and Simulation of Electric Power Systems and Smart Grids |
| DOI | 10.11648/j.ijepe.s.2016050201.11 |
| Page(s) | 1-6 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
DVR, SSC Instantaneous Power Theory, Fuzzy Logic, ANFIS, TS controller
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APA Style
Mohammed Y. Suliman, Sameer Sadoon Al-Juboori. (2015). Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory. International Journal of Energy and Power Engineering, 5(2-1), 1-6. https://doi.org/10.11648/j.ijepe.s.2016050201.11
ACS Style
Mohammed Y. Suliman; Sameer Sadoon Al-Juboori. Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory. Int. J. Energy Power Eng. 2015, 5(2-1), 1-6. doi: 10.11648/j.ijepe.s.2016050201.11
AMA Style
Mohammed Y. Suliman, Sameer Sadoon Al-Juboori. Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory. Int J Energy Power Eng. 2015;5(2-1):1-6. doi: 10.11648/j.ijepe.s.2016050201.11
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Download@article{10.11648/j.ijepe.s.2016050201.11,
author = {Mohammed Y. Suliman and Sameer Sadoon Al-Juboori},
title = {Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory},
journal = {International Journal of Energy and Power Engineering},
volume = {5},
number = {2-1},
pages = {1-6},
doi = {10.11648/j.ijepe.s.2016050201.11},
url = {https://doi.org/10.11648/j.ijepe.s.2016050201.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2016050201.11},
abstract = {The fast variations in the source voltage can affect the performance of the loads such as (a) semiconductor fabrication plants (b) paper mills (c) food processing plants and (d) automotive assembly plants. The common disturbances in the source voltages are the voltage sags or voltage swells this can be due to (i) disturbances arising in the transmission system, (ii) adjacent feeder faults and (iii) fuse or breaker operation. Voltage sags of 10% lasting for 5-10 cycles can result in costly damage in the loads. To mitigate the problems of poor quality power supply, voltage source converters can be connected in series with transmission lines as compensators. These are known as Dynamic Voltage Restorer (DVR) or Static Voltage Restorer. In this paper, a new scheme to control DVR using adaptive neuro fuzzy logic is proposed. In this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system. Also, instantaneous power theory is used to calculate the phase voltage due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox.},
year = {2015}
}
TY - JOUR T1 - Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory AU - Mohammed Y. Suliman AU - Sameer Sadoon Al-Juboori Y1 - 2015/10/12 PY - 2015 N1 - https://doi.org/10.11648/j.ijepe.s.2016050201.11 DO - 10.11648/j.ijepe.s.2016050201.11 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 1 EP - 6 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.s.2016050201.11 AB - The fast variations in the source voltage can affect the performance of the loads such as (a) semiconductor fabrication plants (b) paper mills (c) food processing plants and (d) automotive assembly plants. The common disturbances in the source voltages are the voltage sags or voltage swells this can be due to (i) disturbances arising in the transmission system, (ii) adjacent feeder faults and (iii) fuse or breaker operation. Voltage sags of 10% lasting for 5-10 cycles can result in costly damage in the loads. To mitigate the problems of poor quality power supply, voltage source converters can be connected in series with transmission lines as compensators. These are known as Dynamic Voltage Restorer (DVR) or Static Voltage Restorer. In this paper, a new scheme to control DVR using adaptive neuro fuzzy logic is proposed. In this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system. Also, instantaneous power theory is used to calculate the phase voltage due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox. VL - 5 IS - 2-1 ER -
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