Classification and Evaluation Review of Maximum Power Point Tracking Methods

Baba, Ali Omar; Li, Guangyu; Chen, Xiaohui

doi:10.1016/j.sftr.2020.100020

Cited by 150 publications

(93 citation statements)

References 148 publications

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“…intelligent fuzzy particle swarm optimizer [22], [23], modified sine-cosine optimizer [24], adaptive neuro-fuzzy inference system-particle swarm optimization [25], and Jaya optimizer [26]. An appraisal of different MPPT methods is presented in [27]- [31]. The INC method is one of the most robust and reliable classical MPPT method [32], [33].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

et al. 2021

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Recently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of a fuzzy logic based algorithm for varying the step size of the incremental conductance (INC) maximum power point tracking (MPPT) method for PV. In the proposed method, a variable voltage step size is estimated according to the degree of ascent or descent of the power-voltage relation. For this purpose, a novel unique treatment is proposed based on introducing five effective regions around the point of maximum PV power. To vary the step size of the duty cycle, a fuzzy logic system is developed according to the locations of the fuzzy inputs regarding the five regions. The developed fuzzy inputs are inspired from the slope of the power-voltage relation, namely the current-voltage ratio and its derivatives whereas appropriate membership functions and fuzzy rules are designed. The benefit of the proposed method is that the MPPT efficiency is improved for varying the step size of the incremental conductance method, thanks to the effective coordination between the proposed fuzzy logic based algorithm and the INC method. The output DC power of the PV array and the tracking speed are presented as indices for illustrating the improvement achieved in MPPT. The proposed method is verified and tested through the simulation of a grid-connected PV system model. The simulation results reveal a valuable improvement in static and dynamic responses over that of the traditional INC method with the variation of the environmental conditions. Further, it enhances the output dc power and reduce the convergence time to reach the steady state condition with intermittent environmental conditions. INDEX TERMS Maximum power point tracking, fuzzy logic, incremental conductance, PV system, dynamic responses.

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Section: Introductionmentioning

confidence: 99%

An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

et al. 2021

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“…Partial shading also reduces the lifetime of the PV system due to the hotspot phenomenon. To avoid hotspot formation and reverse current flow, a bypass diode is integrated in the solar module [31,32]. The maximum power cannot be gained from the solar module without the use of the MPPT, which is located between the solar module and battery on the other side, as shown in Figure 7.…”

Section: Solar Cell Characteristics and Maximum Power Point Trackingmentioning

confidence: 99%

Exploiting Solar Energy during an Aerial Mapping Mission on a Lightweight UAV

Hrovatin¹,

Žemva²

2021

Electronics

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In this study, we present options for extending the endurance of a lightweight unmanned aerial vehicle (UAV), along with their advantages and disadvantages. We present a developed solution based on the use of gallium–arsenide (GaAs) solar modules installed on a UAV and connected to a custom-made maximum power point tracker (MPPT) with an integrated perturb and observe (P&O) algorithm. The mathematical behavior required to calculate the electrical energy production from solar energy on the UAV from known UAV angles of rotation, the position of the sun in the sky, solar irradiance measurements, the solar module area and the solar modules efficiency is presented. A comparison of the calculated and actual measured electrical energy production results during an aerial mapping mission is presented. We perform a number of aerial mapping mission flights and the experimental results confirm an energy efficiency value of more than 96.27% for the MPPT and extended flight endurance by up to 21.25%. In addition, onboard measurements and other data captured during flights confirm the proposed electrical energy production calculation.

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“…To date, great number methods of MPPT algorithms have been reported in the literatures such as: P&O, IC, FLC, Sliding mode control (SC), Extremum seeking control (ESC), Artificial Neural Network (ANN), Particle Swarm Optimization (PSO) ...etc. [61][62].…”

Section: Introductionmentioning

confidence: 99%

PEM Fuel Cell Hydrogen Support Using PV-Electrolyzer Generation System

Bahri¹,

Harrag²

2021

JNMES

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In consequence of increasing global energy consumption, the environmental problems such as pollution and the drain of conventional energy resources such as coal, gas and liquefied petrol. To tame this by implementing seeming technology of renewable energy, hydrogen is one of the promising alternative fuels for the future because it has the capability of storing energy of high quality. Therefore, the hydrogen has been visualized to become the cornerstone of future energy systems. It is produced from water electrolysis under electrochemical interaction. Water electrolyzer converts electricity into chemical energy which produces hydrogen and oxygen; this can be achieved by passing DC electric current between two electrodes separated by electrolyte. The direct electric current is delivered by source renewable energy, photovoltaic or wind system. In this paper the different parts of indirect coupling PV with alkaline electrolyzer for hydrogen production have been studied and investigated using Matlab Simulink environment. The developed models allow us the analysis of current-voltage characteristics for both systems PV and Electrolyzer, respectively, as well as the principal parameters affecting the performance of the alkaline electrolyzer.

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Classification and Evaluation Review of Maximum Power Point Tracking Methods

Cited by 150 publications

References 148 publications

An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

Exploiting Solar Energy during an Aerial Mapping Mission on a Lightweight UAV

PEM Fuel Cell Hydrogen Support Using PV-Electrolyzer Generation System

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