Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

1.60

CiteScore

Kalagotla Chenchireddy This email address is being protected from spambots. You need JavaScript enabled to view it. and V Jegathesan

Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641114 India


 

Received: March 2, 2022
Accepted: January 3, 2023
Publication Date: March 15, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202311_26(11).0014  


ABSTRACT


In this article reduced switch count-based distributed static compensator (DSTATCOM) is presented. DSTATCOM is a reduced switch count-based multilevel inverter (MLI)-based DSTATCOM that is used to eliminate harmonics in the source current caused by a non-linear load. The reference current estimation is carried out with a sliding mode controller (SMC) based synchronous reference frame (SRF). The estimation of the harmonics real power and reactive power components is used for the subsequent calculation of desired currents of the DSTATCOM. In addition to this, DSTATCOM performance was also tested with an artificial neural fuzzy inference system-based control scheme. The training data is obtained from SMC-based SRF control schemes. The DSTATCOM is modeled with MATLAB/Simulink using Simpower system block sets. The simulation study of DSTATCOM with different control schemes is carried out to examine its harmonics elimination capabilities using MATLAB. The simulation results of the various DSTATCOM control method demonstrate the reduced harmonics current caused by the load. The ANFIS-SRF exhibits better compensation characteristics than the SMC-SRF scheme. The simulated results of DSTATCOM with an ANFIS-SRF scheme give reduced ripple content in the DC side voltage of the capacitor.


Keywords: Power quality; SRF theory; SMC; ANFIS; harmonics


REFERENCES


  1. [1] J. Kavali and A. Mittal, (2016) “Analysis of various control schemes for minimal total harmonic distortion in cascaded H-bridge multilevel inverter" Journal of Electrical Systems and Information Technology 3(3): 428–441. DOI: 10.1016/j.jesit.2016.01.007.
  2. [2] A. Panda Kumar and M. Mangaraj, (2017) “DSTATCOM employing hybrid neural network control technique for power quality improvement" IET Power Electronics 10(4): 480–489. DOI: 10.1049/iet-pel.2016.0556.
  3. [3] D. Suresh, T. J. Kumar, and S. Singh. “Three-level active neutral point clamped DSTATCOM with Interval Type-2 fuzzy logic controller”. In: 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE. 2020, 1–5. DOI: 10.1109/ICCCI48352.2020.9104204.
  4. [4] R. Chander, E. V. Sagar, et al. “Adjustable step-size LMS based IRP method for active power filter”. In: 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE. 2020, 1–6. DOI: 10.1109/ICCCI48352.2020.9104127.
  5. [5] G. N. Rao, K. C. Sekhar, and P. Sangameswararaju, (2018) “An effective technique for reducing total harmonics distortion of multilevel inverter" Journal of Intelligent Systems 27(3): 433–446. DOI: 10.1515/jisys-2016-0210.
  6. [6] G. N. Rao, P. S. Raju, and K. C. Sekhar, (2014) “Harmonic elimination of cascaded H-bridge multilevel inverter based active power filter controlled by intelligent techniques" International Journal of Electrical Power & Energy Systems 61: 56–63. DOI: 10.1016/j.ijepes.2014.02.023.
  7. [7] R. Manivasagam and R. Prabakaran, (2020) “Power quality improvement by UPQC using ANFIS-based hysteresis controller" International Journal of Operational Research 37(2): 174–197. DOI: 10.1504/IJOR.2020.105368.
  8. [8] J. Kavali and A. Mittal, (2016) “Analysis of various control schemes for minimal total harmonic distortion in cascaded H-bridge multilevel inverter" Journal of Electrical Systems and Information Technology 3(3): 428–441. DOI: 10.1016/j.jesit.2016.01.007.
  9. [9] D. Suresh, T. J. Kumar, and S. Singh. “Grid interconnection of renewable energy source with T-type inverter based DSTATCOM”. In: 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE. 2020, 1–5. DOI: 10.1109/ICCCI48352.2020.9104088.
  10. [10] V. K. Kannan, N. Rengarajan, et al., (2013) “Control of Photovoltaic System with A DC-DC Boost Converter Fed DSTATCOM Using Icos Φ Algorithm" Journal of Applied Science and Engineering 16(1): 89–98. DOI: 10.6180/jase.2013.16.1.12.
  11. [11] K. Swetha and V. Sivachidambaranathan. “Comparative Analysis and Performance of DSTATCOM Device Using PI and Second-Order Sliding Mode Control”. In: Artificial Intelligence and Evolutionary Computations in Engineering Systems. Springer. 2020, 193–203. DOI: 10.1007/978-981-15-0199-9_17.
  12. [12] S. Mishra and P. Sekhar. “Sliding mode based feedback linearizing controller for a PV system to improve the performance under grid frequency variation”. In: 2011 International Conference on Energy, Automation and Signal. IEEE. 2011, 1–7. DOI: 10.1109/ICEAS.2011.6147088.
  13. [13] A. Moharana and P. Dash, (2010) “Input-output linearization and robust sliding-mode controller for the VSC-HVDC transmission link" IEEE Transactions on Power Delivery 25(3): 1952–1961. DOI: 10.1109/TPWRD.2010.2042469.
  14. [14] C.-C. Wong, B.-C. Huang, H.-R. Lai, et al., (2001) “Genetic-based sliding mode fuzzy controller design" Journal of Applied Science and Engineering 4(3): 165–172. DOI: 10.6180/jase.2001.4.3.03.
  15. [15] T. Ahmed, A.Waqar, R. M. Elavarasan, J. Imtiaz, M. Premkumar, and U. Subramaniam, (2021) “Analysis of fractional order sliding mode control in a D-STATCOM integrated power distribution system" IEEE Access 9: 70337–70352. DOI: 10.1109/ACCESS.2021.3078608.
  16. [16] R. Prajapati and S. Tiwari. “ANFIS-Based STATCOM for Reactive Power Compensation of Dynamic Loads Under Microgrid Disturbances”. In: International Conference on Artificial Intelligence and Sustainable Engineering: Select Proceedings of AISE 2020, Volume 1. Springer. 2022, 199–207. DOI: 10.1007/978-981-16-8542-2_16.