An Extend Control Algorithm in PV-ZSI Capacitor-Assisted with Shoot-Through Allowable Boundary on Different Load Cases

Noor Mazliza Badrul Sham, Shamsul Aizam Zulkifli, Ronald Jackson

Abstract


This paper proposed an extend controller on Capacitor Voltage Control (CVC) for Z-Source Inverter (ZSI) network when it been applied at the PV generation.  The improved controller is been combined with the existing MPPT algorithm.  Although, the existing CVC has some drawback as it produces an unnecessary shoot through signal period which cause the capacitor voltage at ZSI cannot be constantly maintained. Therefore, the modification has been included a deviation of the duty cycle of the shoot through. It is to enhance the existing CVC performance and to increase the efficiency of the whole PV generation whenever the input PV irradiation is changed.  At the same time, it is also able to maintain a constant dc-link voltage at ZSI. This proposed control algorithm has been verified throughout simulations tests using linear and non-linear loads by observing the constant dc-link capacitor voltage. This proposed controller has also been compared with the existing conventional CVC with the same load conditions. At the end, the improved controller has shown the ability to maintain the dc-link inverter at PV generation and to limit the allowable boundary of the capacitor voltage to not overflow from the rated value. In terms of quality at the output the proposed controller is able to reduce the total harmonic distortion at the load connections.

Keywords


Z-source inverter (ZSI); photovoltaic (PV); maximum power point tracking (MPPT); capacitor voltage control (CVC).

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References


R. Adle, M. Renge, S. Muley, and P. Shobhane, “Photovoltaic Based Z-source Inverter fed Induction Drive with Improved Shoot through Technique,†Energy Procedia, vol. 117, pp. 329–335, 2017.

G. Li, Y. Jin, M. W. Akram, X. Chen, and J. Ji, “Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions – A review,†Renew. Sustain. Energy Rev., vol. 81, no. August 2017, pp. 840–873, 2018.

S. Meshram, G. Agnihotri, and S. Gupta, “The Steady State Analysis of Z-Source Inverter based Solar Power Generation System,†2012 IEEE 5th India Int. Conf. Power Electron. (IICPE 2012), 2012.

D. Supriya, G. Snehal, P. B. Pawar, and S. B. Patil, “Comparative Study of Voltage source inverter with Z source inverter,†Int. Res. J. Eng. Technol., vol. 4, no. 5, pp. 360–365, 2017.

S. Meshram, G. Agnihotri, and S. Gupta, “The steady state analysis of Z-Source Inverter based Solar Power Generation System,†in 2012 IEEE 5th India International Conference on Power Electronics (IICPE), 2012, pp. 1–6.

O. Ellabban, J. Van Mierlo, and P. Lataire, “Capacitor Voltage Control Techniques of the Z- source Inverter : A Comparative Study,†Eur. Power Electron. Drives, vol. 21, no. 4, pp. 12–24, 2012.

P. (Dr). J. M. Kannan S. A, Rakesh R, Amal M R, Kamala Devi V, “Performance Analysis of PV Single Phase Z-Source Inverter,†Int. J. Innov. Res. Electr. Electron. Instrum. Control Eng., vol. 2, no. 2, pp. 1069–1075, 2014.

Y. Liu, B. Ge, H. Abu-Rub, and F. Z. Peng, “An effective control method for quasi-Z-source cascade multilevel inverter-based grid-tie single-phase photovoltaic power system,†IEEE Trans. Ind. Informatics, vol. 10, no. 1, pp. 399–407, 2014.

S. Li, J. Bai, Q. Tang, and L. Yuan, “A kind of improved control method for Z-source inverter MPPT,†Proc. 2015 27th Chinese Control Decis. Conf. CCDC 2015, pp. 6519–6523, 2015.

Y. S. Chiu, C. L. Liu, Y. H. Liu, and K. Y. Lin, “Z-source inverter-based standalone photovoltaic generation system with MPPT capability,†Proc. 2014 Int. Conf. Intell. Green Build. Smart Grid, IGBSG 2014, no. 8, pp. 8–11, 2014.

A. Kumar and A. Bhattacharya, “Three Level Z so ource Inverter Based Ph hotovoltaic Power Conversion Systems,†Ind. Electron. Soc., pp. 1357–1362, 2015.

V. Aswini, B. M.Manjunath, and J. N. Reddy, “Unified MPPT Control Strategy for Z-Source Inverter,†Int. J. Res. Appl. Sci. Eng. Technol., vol. 3, no. 8, pp. 234–242, 2015.

G. Hemaprabha and P. Sivaraman, “Integrated Controller for T-Source Inverter based Photovoltaic Power Conversion System,†Power, Energy Control, pp. 51–57, 2013.

M. F. N. Tajuddin, B. Ismail, A. Azmi, S. M. Ayob, and Z. Salam, “Single Phase Z-Source Inverter with Differential Evolution (DE) based Maximum Power Point Tracker,†TELKOMNIKA Indones. J. Electr. Eng., vol. 14, no. 1, pp. 80–89, 2015.

Y. Liu, B. Ge, H. Abu-Rub, and H. Sun, “Hybrid Pulsewidth Modulated Single-Phase Quasi-Z-Source Grid-Tie Photovoltaic Power System,†IEEE Trans. Ind. Informatics, vol. 12, no. 2, pp. 621–632, 2016.

Y. Tang, S. Xie, C. Zhang, and Z. Xu, “Improved Z-Source Inverter with Reduced Z-Source Capacitor Voltage Stress and Soft-Start Capability,†IEEE Trans. Power Electron., vol. 24, no. 2, pp. 409–415, 2009.

Q. Tran, T. Chun, H. Kim, and E. Nho, “Minimization of voltage stress across switching devices in the Z-source inverter by capacitor voltage control,†J. Power Electron., pp. 335–342, 2009.

S. Thangaprakash, “Unified MPPT Control Strategy for Z-Source Inverter Based Photovoltaic Power Conversion Systems,†J. Power Electron., vol. 12, no. 1, pp. 172–180, 2012.

J. Ahmed and Z. Salam, “A Modified P & O Maximum Power Point Tracking Method with Reduced Steady State Oscillation and Improved Tracking Efficiency,†IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1506–1515, 2016.

A. A. Hakeem, A. Elserougi, A. El Zawawi, and S. Ahmed, “A Modified Capacitor Voltage Control Algorithm for Suppressing the Effect of Measurement Noise on Grid-Connected Z- Source Inverters Controllers,†Ind. Electron. Soc. IECON, 39th Annu. Conf. IEEE, pp. 204–209, 2013.

Y. Zhu, M. Chen, X. Lee, and Y. Tsutomu, “A Novel quasi-Resonant Soft-Switching Z-Source Inverter,†IEEE Int. Conf. Power Energy PECon, no. December, pp. 2–5, 2012.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i3.7834.g7441

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