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Maximum Power Point Tracking (MPPT) Algorithms for Photovoltaic Systems

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Energy Harvesting and Energy Efficiency

Part of the book series: Lecture Notes in Energy ((LNEN,volume 37))

Abstract

The solar energy have become a challenging area among other renewable energy sources (RESs) since the photovoltaic (PV) systems have the advantages of not causing pollution, having low maintenance, and long-lasting operation life. Besides these advantages, a PV system has several drawbacks such as considerably higher installation cost comparing some other RESs, and limited efficiency ranges between 9–18%. The feasibility analyses have a great role in order to determine the most appropriate plant site before installation. On the other hand, the operating analyses and improvements based on maximum power point tracking (MPPT) are quite important to increase the harvested total energy. The intermittent characteristic and perturbing power curve of a PV module is one of the most important defects that should be tackled to increase the generation efficiency. The power-voltage (P-V) and current-voltage (I-V) curves are main efficiency indicators of a PV system that exhibit nonlinear characteristics in its natural structure. Furthermore, the generated maximum power with a PV panel depends on two main quantities of temperature and irradiation. However, it is possible to increase the generated power up to maximum rates by MPPT algorithms. This chapter introduces most widely used algorithms respecting to their implementation and utilization properties. The indirect, direct, and computational methods are presented considering their advantages and disadvantages. The conventional and novel algorithms are explained with flowcharts and analytical details in order to provide clear comparison. The artificial methods are expressed in the last section where fuzzy logic, artificial intelligence, and optimization-based approaches are discussed.

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Abbreviations

ABC:

Artificial Bee Colony

AF:

Activation Function

ANN:

Artificial Neural Network

COA:

Centroid of Area

CV:

Constant Voltage

EMI:

Electromagnetic Interference

ESS:

Energy Storage System

FLC:

Fuzzy Logic Controller

GA:

Genetic Algorithm

HC:

Hill Climbing

IncCond:

Incremental Conductance

I-V:

Current-Voltage

MLI:

Multilevel Inverter

MLP:

Multilayer Perceptron

MPPT:

Maximum Power Point Tracking

OV:

Open Voltage

P&O:

Perturb and Observe

PSO:

Particle Swarm Optimization

PV:

Photovoltaic

P-V:

Power-Voltage

RES:

Renewable Energy Source

SCPB:

Short-Current Pulse-Based

THD:

Total Harmonic Distortion

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Authors and Affiliations

  1. Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, Nevsehir HBV University, Nevsehir, Turkey

    Ersan Kabalci

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  1. Ersan Kabalci
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Correspondence to Ersan Kabalci .

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Editors and Affiliations

  1. Faculty of Electronics, Communication, and Computers, University of Piteşti, Piteşti, Romania

    Nicu Bizon

  2. Electrical Engineering Department, Faculty of Engineering, Seraj Higher Education Institute, Tabriz, Iran

    Naser Mahdavi Tabatabaei

  3. Department of Energy Technology, Aalborg University, Aalborg East, Denmark

    Frede Blaabjerg

  4. Department of Electrical and Electronics Engineering, Faculty of Technology, Gazi University, Ankara, Turkey

    Erol Kurt

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Kabalci, E. (2017). Maximum Power Point Tracking (MPPT) Algorithms for Photovoltaic Systems. In: Bizon, N., Mahdavi Tabatabaei, N., Blaabjerg, F., Kurt, E. (eds) Energy Harvesting and Energy Efficiency. Lecture Notes in Energy, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-49875-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-49875-1_8

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  • Online ISBN: 978-3-319-49875-1

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