Research Article
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Year 2021, Volume: 2 Issue: 1, 41 - 55, 15.06.2021

Abstract

References

  • [1] Saafin Z, Zaro F, Jawadeh M. Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniques. IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019,773-778, doi: 10.1109/JEEIT.2019.8717452.
  • [2] Sharaf A, Gandoman F. A switched hybrid filter-DVS/green plug for smart grid nonlinear loads. Smart Energy Grid Engineering (SEGE), 2015, 1-6, doi: 10.1109/SEGE.2015.7324588
  • [3] Short, T. Distribution reliability and power quality. United States: Crc Press, 2005.
  • [4] Zaro F, Abido M. Real-Time Detection and Classification of Power Quality Problems Based on Wavelet Transform. Jordan Journal of Electrical Engineering, 2019, 5(4), 222-242.
  • [5] Ipinnimo, Chowdhury, O, Chowdhury, S, Mitra, J. A review of voltage dip mitigation techniques with distributed generation in electricity networks. Electric Power Systems Research, 2013, 103, 28-36, https://doi.org/10.1016/j.epsr.2013.05.004.
  • [6] Rana A, Trivedi I, Vasoya C, Pandya M, Gohil S, Saradva P. Application of D-STATCOM for power quality improvement in distribution line. International Conference on Computation of Power, Energy Information and Commuincation, Chennai, 2016, 719-725, doi: 10.1109/ICCPEIC.2016.7557315.
  • [7] Bhim S, Sabha R, Pankajkumar V. An implementation of double‐frequency oscillation cancellation technique in control of DSTATCOM. International Transactions on Electrical Energy Systems, 2013, 24(6): 796-807, doi.org/10.1002/etep.1735
  • [8] Liu C, Hsu Y. Design of a self-tuning PI controller for a STATCOM using particle swarm optimization. IEEE Transactions on industrial Electronics, 2010, 57(2): 702-715, doi: 10.1109/TIE.2009.2028350.
  • [9] Kamaraj P, Thamizharasu T, M V. Voltage regulation of soft switched interleaved boost converter using fuzzy proportional integral controller. Journal of Energy Systems. 2020; 4(4): 145-160. https://doi.org/10.30521/jes.762506
  • [10] Alqam S, Zaro F. Power Quality Detection and Classification Using S-Transform and Rule-Based Decision Tree. International Journal of Electrical and Electronic Engineering & Telecommunications, 2019, 8(1): 45-50, doi: 10.18178/ijeetc.8.1.45-50
  • [11] Labeeb M, Lathika B. Design and analysis of DSTATCOM using SRFT and ANN-fuzzy based control for power quality improvement. IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, Kerala, 2011, 274-279, doi: 10.1109/RAICS.2011.6069317.
  • [12] Nabisha A, Joseph X. Power Quality Enriched Wind Energy System using DSTATCOM based on PID-ANN Controller. American-Eurasian Journal of Scientific Research, 2017, 12(5): 271-284, doi: 10.5829/idosi.aejsr.2017.271.284.
  • [13] Babaei M, Jafari-Marandi M, Abdelwahed S, Smith B. A simulated Annealing-based optimal design of STATCOM under unbalanced conditions and faults. Power and Energy Conference at Illinois (PECI), 2017, 1-5, doi: 10.1109/PECI.2017.7935768.
  • [14] Zaro F. True Multi-Objective Optimal Power Flow in a Deregulated Environment Using Intelligent Technique. Journal of Engineering Research and Technology, 2017, 3(4): 110-118.
  • [15] Panda S, Padhy N. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Applied soft computing, 2008, 8(4): 1418-1427.
  • [16] Beşikçi E, Arslan O, Turan O, Ölçer A. An artificial neural network-based decision support system for energy efficient ship operations. Computers & Operations Research, 2016, 66: 393-401, https://doi.org/10.1016/j.cor.2015.04.004.
  • [17] Samadianfard S, Jarhan S, Sadri Nahand H. Application of support vector regression integrated with firefly optimization algorithm for predicting global solar radiation. Journal of Energy Systems. 2018; 2(4): 180-189. https://doi.org/10.30521/jes.458328

Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques

Year 2021, Volume: 2 Issue: 1, 41 - 55, 15.06.2021

Abstract

Recently the demand for electric power is increased due to increasing the residential and industrial facilities which may contain sensitive nonlinear loads that needed high power quality (PQ) on the distribution system to avoid malfunction operation. One main PQ issue is voltage profile improvement with acceptable voltage harmonic distortion. It should be regulated to be within acceptable standard levels. In order to improve the voltage profile, the distribution static synchronous compensator (DSTATCOM) is used with a developed control strategy. In this research, DSTATCOM control is developed based on artificial intelligent (AI) using the artificial neural network (ANN), which depends on optimum values obtained by using particle swarm optimization (PSO). The results of the simulation proved the superiority and robustness of the proposed control strategy of DSTATCOM for improving the voltage profile on the distribution system. The validation of results has been done by MATLAB/Simulink software package.


This article was retracted on August 18, 2021.

References

  • [1] Saafin Z, Zaro F, Jawadeh M. Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniques. IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019,773-778, doi: 10.1109/JEEIT.2019.8717452.
  • [2] Sharaf A, Gandoman F. A switched hybrid filter-DVS/green plug for smart grid nonlinear loads. Smart Energy Grid Engineering (SEGE), 2015, 1-6, doi: 10.1109/SEGE.2015.7324588
  • [3] Short, T. Distribution reliability and power quality. United States: Crc Press, 2005.
  • [4] Zaro F, Abido M. Real-Time Detection and Classification of Power Quality Problems Based on Wavelet Transform. Jordan Journal of Electrical Engineering, 2019, 5(4), 222-242.
  • [5] Ipinnimo, Chowdhury, O, Chowdhury, S, Mitra, J. A review of voltage dip mitigation techniques with distributed generation in electricity networks. Electric Power Systems Research, 2013, 103, 28-36, https://doi.org/10.1016/j.epsr.2013.05.004.
  • [6] Rana A, Trivedi I, Vasoya C, Pandya M, Gohil S, Saradva P. Application of D-STATCOM for power quality improvement in distribution line. International Conference on Computation of Power, Energy Information and Commuincation, Chennai, 2016, 719-725, doi: 10.1109/ICCPEIC.2016.7557315.
  • [7] Bhim S, Sabha R, Pankajkumar V. An implementation of double‐frequency oscillation cancellation technique in control of DSTATCOM. International Transactions on Electrical Energy Systems, 2013, 24(6): 796-807, doi.org/10.1002/etep.1735
  • [8] Liu C, Hsu Y. Design of a self-tuning PI controller for a STATCOM using particle swarm optimization. IEEE Transactions on industrial Electronics, 2010, 57(2): 702-715, doi: 10.1109/TIE.2009.2028350.
  • [9] Kamaraj P, Thamizharasu T, M V. Voltage regulation of soft switched interleaved boost converter using fuzzy proportional integral controller. Journal of Energy Systems. 2020; 4(4): 145-160. https://doi.org/10.30521/jes.762506
  • [10] Alqam S, Zaro F. Power Quality Detection and Classification Using S-Transform and Rule-Based Decision Tree. International Journal of Electrical and Electronic Engineering & Telecommunications, 2019, 8(1): 45-50, doi: 10.18178/ijeetc.8.1.45-50
  • [11] Labeeb M, Lathika B. Design and analysis of DSTATCOM using SRFT and ANN-fuzzy based control for power quality improvement. IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, Kerala, 2011, 274-279, doi: 10.1109/RAICS.2011.6069317.
  • [12] Nabisha A, Joseph X. Power Quality Enriched Wind Energy System using DSTATCOM based on PID-ANN Controller. American-Eurasian Journal of Scientific Research, 2017, 12(5): 271-284, doi: 10.5829/idosi.aejsr.2017.271.284.
  • [13] Babaei M, Jafari-Marandi M, Abdelwahed S, Smith B. A simulated Annealing-based optimal design of STATCOM under unbalanced conditions and faults. Power and Energy Conference at Illinois (PECI), 2017, 1-5, doi: 10.1109/PECI.2017.7935768.
  • [14] Zaro F. True Multi-Objective Optimal Power Flow in a Deregulated Environment Using Intelligent Technique. Journal of Engineering Research and Technology, 2017, 3(4): 110-118.
  • [15] Panda S, Padhy N. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Applied soft computing, 2008, 8(4): 1418-1427.
  • [16] Beşikçi E, Arslan O, Turan O, Ölçer A. An artificial neural network-based decision support system for energy efficient ship operations. Computers & Operations Research, 2016, 66: 393-401, https://doi.org/10.1016/j.cor.2015.04.004.
  • [17] Samadianfard S, Jarhan S, Sadri Nahand H. Application of support vector regression integrated with firefly optimization algorithm for predicting global solar radiation. Journal of Energy Systems. 2018; 2(4): 180-189. https://doi.org/10.30521/jes.458328
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Fouad Zaro 0000-0003-3107-0661

Publication Date June 15, 2021
Submission Date April 4, 2021
Published in Issue Year 2021 Volume: 2 Issue: 1

Cite

APA Zaro, F. (2021). Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques. Journal of Soft Computing and Artificial Intelligence, 2(1), 41-55.
AMA Zaro F. Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques. JSCAI. June 2021;2(1):41-55.
Chicago Zaro, Fouad. “Retraction: Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligence Techniques”. Journal of Soft Computing and Artificial Intelligence 2, no. 1 (June 2021): 41-55.
EndNote Zaro F (June 1, 2021) Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques. Journal of Soft Computing and Artificial Intelligence 2 1 41–55.
IEEE F. Zaro, “Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques”, JSCAI, vol. 2, no. 1, pp. 41–55, 2021.
ISNAD Zaro, Fouad. “Retraction: Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligence Techniques”. Journal of Soft Computing and Artificial Intelligence 2/1 (June 2021), 41-55.
JAMA Zaro F. Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques. JSCAI. 2021;2:41–55.
MLA Zaro, Fouad. “Retraction: Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligence Techniques”. Journal of Soft Computing and Artificial Intelligence, vol. 2, no. 1, 2021, pp. 41-55.
Vancouver Zaro F. Retraction: Voltage Profile Improvement using DSTATCOM Based on Artificial Intelligence Techniques. JSCAI. 2021;2(1):41-55.