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Article

A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation

by †,‡, and *,†
Department of Electrical Engineering, National Taiwan University of Science and Technology, 2F, EE, No. 43, Sec. 4, Keelung Rd, Taipei 106, Taiwan
*
Author to whom correspondence should be addressed.
Current address: Electrical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan.
These authors contributed equally to this work.
Energies 2018, 11(11), 2966; https://doi.org/10.3390/en11112966
Received: 22 September 2018 / Revised: 13 October 2018 / Accepted: 24 October 2018 / Published: 1 November 2018
(This article belongs to the Special Issue Sustainable Energy Systems)
Maximum Power Point Tracking (MPPT) enables photovoltaic (PV) systems to extract as much solar energy as possible. Depending on which type of controller is used, PV systems can be classified as centralized MPPT (CMPPT) or decentralized MPPT (DMPPT). In substring-level systems, it is known that the energy yield of DMPPT can outweigh the power electronics cost. At the substring level, it is usually assumed that the PV curve exhibits a single peak, even under partial shading. Thus, the control algorithms for DMPPT are usually less complicated than those employed in CMPPT systems. This paper provides a comprehensive review of four simple DMPPT algorithms, which are perturb and observe (P&O), incremental conductance (INC), golden section search (GSS), and Newton’s quadratic interpolation (NQI). The comparison of these algorithms are done from the perspective of numerical analysis. Guidelines on how to set initial conditions and convergence criteria are thoroughly explained. This is of great interest to PV engineers when selecting algorithms for use in MPPT implementations. In addition, various problems that have never previously been identified before are highlighted and discussed. For instance, the problems of NQI trap is identified and methods on how to mitigate it are also discussed. All the algorithms are tested under various conditions including static, dynamic, and rapid changes of irradiance. Both simulation and experimental results indicate that P&O and INC are the best algorithms for DMPPT. View Full-Text
Keywords: decentralized maximum power point tracking; perturb and observe (P&O); incremental conductance (INC); golden section search (GSS); Newton’s quadratic interpolation (NQI) decentralized maximum power point tracking; perturb and observe (P&O); incremental conductance (INC); golden section search (GSS); Newton’s quadratic interpolation (NQI)
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MDPI and ACS Style

Andrean, V.; Chang, P.C.; Lian, K.L. A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation. Energies 2018, 11, 2966. https://doi.org/10.3390/en11112966

AMA Style

Andrean V, Chang PC, Lian KL. A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation. Energies. 2018; 11(11):2966. https://doi.org/10.3390/en11112966

Chicago/Turabian Style

Andrean, Victor, Pei Cheng Chang, and Kuo Lung Lian. 2018. "A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation" Energies 11, no. 11: 2966. https://doi.org/10.3390/en11112966

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