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Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies

Journal

ENERGY REPORTS
Volume 6, Issue -, Pages 1312-1327

Publisher

ELSEVIER
DOI: 10.1016/j.egyr.2020.05.013

Keywords

PV power system; Maximum power point tracking; Intelligence control methods; Under partial shading conditions

Categories

Funding

  1. China Postdoctoral Science Foundation [2018M643410]
  2. Chongqing Special Postdoctoral Science Foundation [XmT2018033]
  3. Natural Science Foundation of Chongqing, China [cstc2019jcyj-bshX0047]
  4. National Natural Science Foundation of China [51707026]
  5. National Key Research and Development Program [2018YFB0905802]

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The output power-voltage (P-V) curve of a solar photovoltaic (PV) power system shows a single peak under an even irradiation environment, nevertheless, but often exhibits seriously nonlinear multi-peak characteristics under partial shading conditions (PSCs). Then, traditional maximum power point tracking (MPPT) control methods may fail to find the maximum power point (MPP). Many different MPPT control methods have been proposed to adjust the peak power output and improve the generating efficiency of the PV system. In this paper, the main MPPT techniques for PV systems are reviewed and summarized, and divided into three groups according to their control theoretic and optimization principles. Especially, the advantages and disadvantages of the MPPT techniques for PV system under PSCs are compared and analyzed. Finally, possible future research directions for MPPT are discussed. (C) 2020 The Authors. Published by Elsevier Ltd.

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