Design of Three Level Neutral Point Clamped Inverter with Fuzzy Logic based MPPT for PV Applications

Design of Three Level NPC Inverter with FL-MPPT for PV Applications

Authors

  • FARHAN SIDDIQUE UET PESHAWAR
  • Saud Ahmad University of Engineering and Technology, Peshawar
  • Hassan Ullah Khan University of Engineering and Technology, Peshawar
  • Muhammad Sohrab University of Engineering and Technology, Peshawar
  • Tasneem Afeefa Quaid-i-Azam University, Islamabad

DOI:

https://doi.org/10.53560/PPASA(59-3)775

Keywords:

Photovoltaic (PV), Fuzzy logic control (FLC), Maximum power point tracking (MPPT), Multilevel Inverters, Neutral point clamped inverter, Perturb & Observe (P&O), Renewable energy (RE), PV Cell

Abstract

In this paper a solar photovoltaic (PV) system with maximum power point tracking (MPPT) for domestic low power applications. The proposed system contains a PV array which provides electrical power, while a DC/DC converter is incorporated to regulate the power derived from PV panels. Fuzzy logic control (FLC) based MPPT has been proposed. To convert the DC voltages and currents obtained from Solar panels to AC voltages and currents, a Neutral point clamped multilevel inverter is included. Furthermore, harmonics are removed by using the LCL filter. The PV system working, design of the DC/DC Boost converter, Novel MPPT techniques, Multilevel inverter topologies and LCL filter design are explained. Results reveal that the FLC based MPPT has much lesser total harmonic distortion (THD) in the PV system. With this property, FLC possesses faster convergence than the perturb & observe (P&O) and other MPPT techniques.

References

K. Bakirci. General models for optimum tilt angles of solar panels: Turkey case study. Renewable and Sustainable Energy Reviews 16: 6149–6159 (2012).

A.A. Abdulrazzaq, and A.H. Ali. Efficiency Performances of Two MPPT Algorithms for PV System With Different Solar Panels Irradiances. International Journal of Power Electronics and Drive System (IJPEDS) 9: 1755–1764 (2018).

F. Boico, and L. Brad. Single sensor MPPT algorithm for multiple solar panels configurations. IEEE Power Electronics Specialists Conference (2007).

M.T. Fard, and J. He. Fault Tolerant FiveLevel Active NPC Inverter for High-Reliability Photovoltaic Applications. IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)(2021).

C.S. Chim, P. Neelakantan, H.P. Yoong, and K.T.K. Teo. Fuzzy logic based MPPT for photovoltaic modules influenced by solar irradiation and cell temperature. UkSim 13th International Conference on Computer Modelling and Simulation (2011).

Y. Du, and D.D.-C. Lu. Battery-integrated boost converter utilizing distributed MPPT configuration for photovoltaic systems. Solar Energy 85: 1992–2002 (2011).

M. Edouard, and D. Njomo. Mathematical modeling and digital simulation of PV solar panel using

Matlab software. International Journal of Emerging Technology and Advanced Engineering 3: 24–32 (2013).

S. Busquets-Monge, J. Bordonau, D. Boroyevich, and S. Somavilla. The nearest three virtual space vector PWM-a modulation for the comprehensive neutral-point balancing in the three-level NPC inverter. IEEE Power Electronics Letters 2: 11–15 (2004).

A.M. Serenelli. New results on standard solar models. Astrophysics and Space Science 328: 13–21 (2010).

M. Taherbaneh, G. Farahani, and K. Rahmani. Evaluation the accuracy of one-diode and two-diode models for a solar panel based open-air climate measurements. Solar Cells-Silicon Wafer-Based Technologies 4: 201–228 (2011).

M. Rosu-Hamzescu, and S. Oprea. Practical guide to implementing solar panel MPPT algorithms. Microchip Technology Inc. Application Note, AN1521 (2013).

J.J. Nedumgatt, K.B. Jayakrishnan, S. Umashankar, D. Vijayakumar, and D. P. Kothari. Perturb and observe MPPT algorithm for solar PV systems-modeling and simulation. Annual IEEE India Conference (2011).

C. Robles Algarı́n, J. Taborda Giraldo, and O. Rodriguez Alvarez. Fuzzy logic based MPPT controller for a PV system. Energies 10: 2036 (2017).

C.K. Sundarabalan, K. Selvi, and K.S. Kubra. Performance investigation of fuzzy logic controlled MPPT for energy efficient solar PV systems. Power Electronics and Renewable Energy Systems, Springer 326: 761–770 (2015).

M. Veerachary, T. Senjyu, and K. Uezato. Neuralnetwork-based maximum-power-point tracking of coupled-inductor interleaved-boost-convertersupplied PV system using fuzzy controller. IEEE Transactions on Industrial Electronics 50: 749–758 (2003).

B.M. Hasaneen, and A.A.E. Mohammed. Design and simulation of DC/DC boost converter. 12th International Middle-East Power System Conference (2008).

H.A. Mohamed, H.A. Khattab, A. Mobarka, and G.A. Morsy. Design, control and performance analysis of DC-DC boost converter for stand-alone PV system. Eighteenth International Middle East Power Systems Conference (MEPCON) (2016).

S.-H. Park, G.-R. Cha, Y.-C. Jung, and C.-Y. Won. Design and application for PV generation system using a soft-switching boost converter with SARC. IEEE Transactions on Industrial Electronics 57: 515–522 (2009).

J. Siahbalaee, and N. Sanaie. Comparison of conventional and new cascaded multilevel inverter topologies based on novel indices. ISA Transactions 119: 41–51 (2022).

K.C. Kong, M.B. Mamat, M.Z. Ibrahim, and A. Muzathik. New approach on mathematical modeling of photovoltaic solar panel. Applied Mathematical Sciences 6: 381–401 (2012).

Downloads

Published

2022-09-24

How to Cite

FARHAN SIDDIQUE, Saud Ahmad, Hassan Ullah Khan, Muhammad Sohrab, & Tasneem Afeefa. (2022). Design of Three Level Neutral Point Clamped Inverter with Fuzzy Logic based MPPT for PV Applications: Design of Three Level NPC Inverter with FL-MPPT for PV Applications. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 59(3), 69–80. https://doi.org/10.53560/PPASA(59-3)775

Issue

Section

Research Articles