Design and analysis of solar photovoltaic-fed Z-source inverter-based dynamic voltage restorer

Document Type : Research Note

Authors

1 Department of Electrical Engineering, NIT Jamshedpur, Jharkhand, India

2 Faculty of Engineering, Department of Electrical & Electronics Engineering, NIT Jamshedpur, India

3 Faculty of Engineering, Department of Electrical Power & Machines, Ain Shams University, Cairo, Egypt

Abstract

Impedance source inverter or Z-source inverter (ZSI) is an emerging power electronic device. The one kind of feature of ZSI is that dissimilar the conventional inverters such as voltage source inverter and current source inverter it can be open and short-circuited which provides a mechanism for the main circuit to step-up and step-down the voltage as wanted. This work introduces a solar photovoltaic fed Z-source inverter (ZSI) based Dynamic Voltage Restorer (DVR) for the alleviation of destructive voltage swell and harmonics under sudden addition of a balanced three-phase nonlinear load. This article also focuses on perturbation and observation (P&O) method for automatically find the PV systems operating voltage that produces a maximum power output. The design, modeling, and simulation of the proposed PV-ZSI-DVR are implemented in MATLAB/SIMULINK for mitigation of voltage swell and harmonics balanced three-phase nonlinear load and the obtained results are compared with traditional SPV fed voltage and current source inverter based DVRs.

Keywords


References
1. Santis, M.De., Noce, C., Varilone, P., et al. Analysis
of the origin of measured voltage sags in interconnected
networks", International Journal of Electric Power
Systems Research, 154, pp. 391{400 (2018).
2. Nagata, E.A., Ferreira, D.D., Duque, C.A., et al.
3202 M. Prasad et al./Scientia Iranica, Transactions D: Computer Science & ... 27 (2020) 3190{3203
Voltage sag and swell detection and segmentation
based on independent component analysis", International
Journal of Electric Power Systems Research,
155, pp. 274{280 (2018).
3. Wang, Y., Luo, H., and Xiao, X.Y. Voltage sag
frequency kernel density estimation method considering
protection characteristics and fault distribution",
International Journal of Electric Power Systems Research,
170, pp. 128{137 (2019).
4. Nittala, R., Parimi, A.M., and Rao, K.U. Comparing
the performance of IDVR for mitigating voltage sag
and harmonics with VSI and CSI as its building
blocks", IEEE International Conference on Signal
Processing, Informatics, Communication and Energy
Systems (SPICES), Kozhikode, pp. 1{5 (2015).
5. Balamurugan, M., Sivakumaran, T.S., and Devi, M.A.
Voltage sag/swell compensation using Z-source inverter
DVR based on FUZZY controller", IEEE International
Conference on Emerging Trends in Computing,
Communication and Nanotechnology (ICECCN),
pp. 648{653 (2013).
6. Hanif, M., Basu, M., and Gaughan, K. Understanding
the operation of a Z-source inverter for photovoltaic
application with a design example", IET Power Electron,
4, pp. 278{287 (2011).
7. Zope, P.H. and Somkuwar, A. Design and simualtion
of single-phase Z-source inverter for utility interface",
International journal of Electrical Engineering and
Technology, 1, pp. 127{143 (2012).
8. Pilehvar, M.S., Mardaneh, M., and Rajaei, A. An
analysis on the main formulas of Z-source inverter",
Scientia Iranica, Transactions D: Computer Science
& Engineering and Electrical Engineering, 22(3), pp.
1077{1084 (2015).
9. Kannan, S.A., Rakesh, R., Amal, M.R., et al. Performance
analysis of PV single phase Z-source inverter",
International Journal of Innovative Research
in Electrical, Electronics, Instrumentation and Control
Engineering, 2, pp. 1069{1075 (2014).
10. Ali, U.S. Impedance source converter for photovoltaic
stand-alone system with vanadium redox
ow battery
storage", Materials Today Proceedings, 5, pp. 241{247
(2018).
11. Umarani, D. and Seyezhai, R. Modeling and control
of quasi Z-source cascaded H-bridge multilevel inverter
for grid connected photovoltaic systems", Energy Procedia,
90, pp. 250{259 (2016).
12. Farhat, M., Barambones, O., and Sbita, L. Eciency
optimization of a DSP-based standalone PV system
using a stable single input fuzzy logic controller",
Renewable and Sustainable Energy Reviews, 49, pp.
907{920 (2015).
13. Carrasco, M. and Mancilla-David, F. Maximum
power point tracking algorithms for single-stage photovoltaic
power plants under time-varying reactive power
injection", Solar Energy, 132, pp. 321{331 (2016).
14. Kandemir, E., Cetin, N.S., and Borekci, S. A comprehensive
overview of maximum power extraction
methods for PV systems", Renewable and Sustainable
Energy Reviews, 78, pp. 93{112 (2017).
15. Gheibi, A., Mohammadi, S.M.A., and Farsangi, M.M.
A proposed maximum power point tracking by using
adaptive fuzzy logic controller for photovoltaic systems",
Scientia Iranica, Transactions D: Computer
Science & Engineering and Electrical Engineering, 23,
pp. 1272{1281 (2016).
16. Kermadi, M. and Berkouk, E.M. Arti cial
intelligence-based maximum power point tracking
controllers for photovoltaic systems: comparative
study", Renewable and Sustainable Energy Reviews,
69, pp. 369{386 (2017).
17. Bouzelata, Y., Kurt, E., Chenni, R., et al. Design and
simulation of a uni ed power quality conditioner fed
by solar energy", International Journal of Hydrogen
Energy, 40, pp. 15267{15277 (2015).
18. Ahmed, J. and Salam, Z. A modi ed P&O maximum
power point tracking method with reduced steady state
oscillation and improved tracking eciency", IEEE
Transaction on Sustainable Energy, 7, pp. 1506{1515
(2016).
19. Alik, R. and Jusoh, A. An enhanced P&O checking algorithm
MPPT for high tracking eciency of partially
shaded PV module", Solar Energy, 163, pp. 570{580
(2018).
20. Ahmed, J. and Salam, Z. An improved perturb
and observe (P&O) maximum power point tracking
(MPPT) algorithm for higher eciency", Applied Energy,
150, pp. 97{108 (2015).
21. Islam, F.R., Prakash, K., Mamun, K.A., et al. Design
of an optimum MPPT Controller for solar energy
system", Indonesian Journal of Electrical Engineering
and Computer Science, 2, pp. 545{553 (2016).