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Energies 2018, 11(2), 365; https://doi.org/10.3390/en11020365

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

1
Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
2
Department of Electrical, Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
3
Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
4
School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia
*
Authors to whom correspondence should be addressed.
Received: 5 January 2018 / Revised: 27 January 2018 / Accepted: 29 January 2018 / Published: 4 February 2018
(This article belongs to the Section Sustainable Energy)
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Abstract

This paper elaborates a comprehensive overview of a photovoltaic (PV) system model, and compares the attributes of various conventional and improved incremental conductance algorithms, perturbation and observation techniques, and other maximum power point tracking (MPPT) algorithms in normal and partial shading conditions. Performance evaluation techniques are discussed on the basis of the dynamic parameters of the PV system. Following a discussion of the MPPT algorithms in each category, a table is drawn to summarize their key specifications. In the performance evaluation section, the appropriate PV module technologies, atmospheric effects on PV panels, design complexity, and number of sensors and internal parameters of the PV system are outlined. In the last phase, a comparative table presents performance-evaluating parameters of MPPT design criterion. This paper is organized in such a way that future researchers and engineers can select an appropriate MPPT scheme without complication. View Full-Text
Keywords: maximum power point tracking; photovoltaic systems; incremental conductance; perturbation and observation; partial shading conditions; performance evaluation maximum power point tracking; photovoltaic systems; incremental conductance; perturbation and observation; partial shading conditions; performance evaluation
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Islam, H.; Mekhilef, S.; Shah, N.B.M.; Soon, T.K.; Seyedmahmousian, M.; Horan, B.; Stojcevski, A. Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems. Energies 2018, 11, 365.

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