Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads

Samhar Saeed Shukir

doi:doi:10.11648/j.ijem.20210501.13

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Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads

Samhar Saeed Shukir

Published in International Journal of Engineering Management (Volume 5, Issue 1)

Received: 26 March 2021 Accepted: 22 April 2021 Published: 30 April 2021

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Abstract

Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.

Published in	International Journal of Engineering Management (Volume 5, Issue 1)
DOI	10.11648/j.ijem.20210501.13
Page(s)	21-32
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), 2021. Published by Science Publishing Group

Keywords

Dynamic Voltage Restorer, Power Quality Improvement, Artificial Intelligent, Fuzzy Neural Optimized Fuzzy Logic Controller

References

[1]	Dixon, JG, Venega, SG & Moran, LA 1997, 'A series active power filter based on a sinusoidal current controlled voltage source inverter', IEEE Transaction on Industrial Electronics, vol. 44, no. 5, pp. 612-620.
[2]	M. I. Marei, E. F. EI-Saadany, and M. M. A. Salama, "A new approach to control DVR based on symmetrical components estimation," iEEE Trans. Power Del., vol. 22, no. 4, pp. 2017-2024, Oct. 2012.
[3]	"‘IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems New York NY: IEEE", IEEE Std 519-1992.
[4]	Newman, MJ, Holmes, DG, Nielsen, JG & Blaabjerg, F 2005, 'A dynamic voltage restorer (DVR) with selective harmonic compensation at medium voltage level', IEEE Transaction on Industry Applications, vol. 41, pp. 1744-1753.
[5]	Nielsen, JG & Blaabjerg, F 2005, ' A detailed comparison of system topologies for dynamic voltage restorer', IEEE Transactions on Industrial Applications, vol. 41, no.5, pp. 1272-1280.
[6]	Salimin, RH & Rahim, MSA 2011, 'Simulation analysis of DVR performance for voltage sag mitigation', Proceedings of IEEE Power Engineering and Optimization Conference (PEOCO), pp. 261-266
[7]	F. A. L. Jowder, "Design and analysis of dynamic voltage restorer for deep voltage sag and harmonic compensation", IET Gener. Transm. Distrib., vol. 3, no. 6, pp. 547-560, 2009.
[8]	M. N. Tandjaoui, et al., "Sensitive Loads Voltage Improvement Using Dynamic Voltage Restorer," International Conference on Electrical Engineering and Informatics, 2011. Conference publication. IEEE Xplore digital library
[9]	C. Fitzer, A. Anulampalam, M. Barnes, and R. Zurowski "Mitigation of Saturation in Dynamic Voltage Restorer Connection Transformers ", IEEE Transactions on Power Electronics, Volume: 17, Issue: 6, Nov. 2002, pp. 1058 – 1066.
[10]	J. G. Nielsen, F. Blaabjerg, N. Mohan, "Control strategies for dynamic voltage restorer compensating voltage sags with phase jump", Proc. IEEE/APEC'01 Conference, vol. 2, pp. 1267-1273, 2001.
[11]	J. Klapper, J. T. Frankle, Phase-Locked and Frequency-Feedback Systems, New York: Academic Press, 1972.
[12]	J. G. Nielsen, Design and Control of a Dynamic Voltage Restorer, 2002.
[13]	S. Aboulem, E. M. Boufounas, I. Boumhidi, "Optimal tracking and robust intelligent based PI power controller of the wind turbine systems", 2017 Intelligent Systems and Computer Vision (ISCV), pp. 1-7, 2017.
[14]	S. Nayak, S. Gurunath, N. Rajasekar, "Advanced single-phase inverse park PLL with tuning of PI controller for improving stability of grid utility using soft computing technique", 2016 Online International Conference on Green Engineering and Technologies (IC-GET), pp. 1-5, 2016.
[15]	H. A. Kazem, "Harmonic Mitigation Techniques Applied to Power Distribution Networks", Advances in Power Electronics, pp. 10, Jan. 2013.
[16]	D. Chen, H. C. He, and H. Wang, "Fuzzy control technique based on continuous t-norm and s-norm," Control Theory and Applications, vol 18, no. 5, pp. 717-721, 2001.
[17]	W. X. Zhang, G. X. Liang, Fuzzy control and system, Xi'an: Xi'an Jiaotong University Press, 1998, pp. 72-78.
[18]	C. Benachaiba, B. Ferdi, "Voltage quality improvement using DVR", Electrical Power Quality and Utilization Journal, vol. XIV, no. 1, pp. 39-45, 2008.
[19]	Jang JSR (1993) ANFIS: adaptive network-based fuzzy inference systems. IEEE Trans Sys Man Cybern 23:665-685.
[20]	Hung T. Nguyen, Nadipuram R. Prasad Carol L. Walker, Elbert A. Walker. 'A First Course in FUZZY and NEURAL CONTROL', printed in the United States of America 1234567890 printed on acid -free paper; chapter. 2; pp. 88-90.

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Samhar Saeed Shukir. (2021). Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. International Journal of Engineering Management, 5(1), 21-32. https://doi.org/10.11648/j.ijem.20210501.13

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ACS Style

Samhar Saeed Shukir. Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. Int. J. Eng. Manag. 2021, 5(1), 21-32. doi: 10.11648/j.ijem.20210501.13

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AMA Style

Samhar Saeed Shukir. Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. Int J Eng Manag. 2021;5(1):21-32. doi: 10.11648/j.ijem.20210501.13

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@article{10.11648/j.ijem.20210501.13,
  author = {Samhar Saeed Shukir},
  title = {Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads},
  journal = {International Journal of Engineering Management},
  volume = {5},
  number = {1},
  pages = {21-32},
  doi = {10.11648/j.ijem.20210501.13},
  url = {https://doi.org/10.11648/j.ijem.20210501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20210501.13},
  abstract = {Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.},
 year = {2021}
}

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TY  - JOUR
T1  - Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads
AU  - Samhar Saeed Shukir
Y1  - 2021/04/30
PY  - 2021
N1  - https://doi.org/10.11648/j.ijem.20210501.13
DO  - 10.11648/j.ijem.20210501.13
T2  - International Journal of Engineering Management
JF  - International Journal of Engineering Management
JO  - International Journal of Engineering Management
SP  - 21
EP  - 32
PB  - Science Publishing Group
SN  - 2640-1568
UR  - https://doi.org/10.11648/j.ijem.20210501.13
AB  - Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.
VL  - 5
IS  - 1
ER  -

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Author Information

Samhar Saeed Shukir

Electrical Department, Technical Institute - Kut, Middle Technical University, Baghdad, Iraq

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Samhar Saeed Shukir. (2021). Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. International Journal of Engineering Management, 5(1), 21-32. https://doi.org/10.11648/j.ijem.20210501.13

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ACS Style

Samhar Saeed Shukir. Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. Int. J. Eng. Manag. 2021, 5(1), 21-32. doi: 10.11648/j.ijem.20210501.13

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AMA Style

Samhar Saeed Shukir. Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads. Int J Eng Manag. 2021;5(1):21-32. doi: 10.11648/j.ijem.20210501.13

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@article{10.11648/j.ijem.20210501.13,
  author = {Samhar Saeed Shukir},
  title = {Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads},
  journal = {International Journal of Engineering Management},
  volume = {5},
  number = {1},
  pages = {21-32},
  doi = {10.11648/j.ijem.20210501.13},
  url = {https://doi.org/10.11648/j.ijem.20210501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20210501.13},
  abstract = {Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads
AU  - Samhar Saeed Shukir
Y1  - 2021/04/30
PY  - 2021
N1  - https://doi.org/10.11648/j.ijem.20210501.13
DO  - 10.11648/j.ijem.20210501.13
T2  - International Journal of Engineering Management
JF  - International Journal of Engineering Management
JO  - International Journal of Engineering Management
SP  - 21
EP  - 32
PB  - Science Publishing Group
SN  - 2640-1568
UR  - https://doi.org/10.11648/j.ijem.20210501.13
AB  - Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.
VL  - 5
IS  - 1
ER  -

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