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Relevance of the P ＆ O mppt Technique in an Original PV-Powered Water Pumping Application

Journal of Energy and Power Engineering 2015年第11期9卷 1008-1018页

作者： Said Aissou Sebastien Jacques Zahra Mokrani Djamila Rekioua Toufik Rekioua Abdeldjalil Ouahabi Electrical Engineering Department University of Bejaia Bejaia 06000 Algeria Electronics and Energy Department Polytech Tours University ofT ours Tours 37200 France Research Group on Materials Microelectronics Acoustics & Nanotechnology University of Tours Tours 37200 France

Many papers exploiting the various mppt （maximum power point tracking） techniques in PV （photovoltaic） applications, from the simple to the most complicated, can be found in literature. However, these techniques may not always be easy to implement in industrial applications. The main challenge of this paper is to model and implement the P ＆ O （perturb and observe） algorithm in a low-cost PV-powered pumping system. To that end, a comparative investigation of the performance characteristics of the most popular mppt methods, such as FOCV （fractional open circuit voltage）, FSCC （fractional short circuit current）, FLC （fuzzy logic control）, ANN （artificial neural network） and INC （incremental conductance） is presented. This analysis is helpful to highlight the relevance of the P ＆ O technique taking better account of complexity, difficulty of implementation and cost considerations in water pumping applications. The targeted PV-powered pumping system is based on a single-phase induction motor supplied by a three-phase inverter controlled by the DTC （direct torque control） technique. This stand-alone PV system is dedicated to water pumping, especially in rural areas that have no access to national grids but have sufficient amount of solar radiation. Simulation modeling （Matlab/Simulink） and experimental results are presented to demonstrate the relevance of the system.

关键词： DC-DC power converter mppt algorithms P & O stand-alone PV-powered water pumping system.

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Simulation of Maximum Power Point Tracking for Photovoltaic Systems

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Journal of Energy and Power Engineering 2014年第4期8卷 741-748页

作者： Hadi AI-Saadi Reyad Al-Sayed Mohammad Al-Sheikh Hasan Hussein Al-Bahadili Faculty of Information Technology University of Petra Amman 11196 Jordan

A PV （photovoltaic） solar panels exhibit non-linear current--voltage characteristics, and according to the MPT （maximum power transform） theory, it can produce maximum power at only one particular OP （operating point）; namely, when the source impedance matches with the load impedance, a match which cannot be guaranteed spontaneously. Furthermore, the MPP （maximum power point） changes with temperature and light intensity variations. Therefore, different algorithms have been developed for finding mppt （maximum power point tracking） based on offline and online methods. Evaluating the performance of these algorithms for various PV systems operating under highly dynamic environments are essentials to ensure producing reliable, efficient, cost-effective and high performance systems. One possible approach for system evaluation is to use computer simulation. This paper addresses the use of Matlab software as a simulation tool for evaluating the performance of PV solar systems and finding the mppt.

关键词： PV solar energy simulation software mppt algorithms P&O (perturbed and observe) algorithm Matlab.

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Simulations of the Performance of Maximum Power Point Tracking algorithms Based on Experimental Data According to the Topologies of DC-DC Converters

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Journal of Power and Energy Engineering 2021年第5期9卷 76-92页

作者： Abraham Dandoussou Pierre Kenfack Stève Ngoffe Perabi Martin Kamta University of Buea Department of Electrical and Power Engineering Higher Technical Teachers’ Training College (HTTTC) Kumba Cameroon University of Douala Department of Electrical Engineering and Industrial Computing Institut Universitaire de Technologie Douala Cameroon University of Ngaoundere Department of Electrical Engineering Energetic and Automation National School of Agro-Industrial Sci-ences Ngaoundere Cameroon

Maximum Power Point Tracking (mppt) algorithms are now widely used in PV systems independently of the weather conditions. In function of the application, a DC-DC converter topology is chosen without any previous performance test under normal weather conditions. This paper proposes an experimental evaluation of mppt algorithms according to DC-DC converters topologies, under normal operation conditions. Four widely used mppt algorithms i.e. Perturb and Observe (P & O), Hill Climbing (HC), Fixed step Increment of Conductance (INCF) and Variable step Increment of Conductance (INCV) are implemented using two topologies of DC-DC converters i.e. buck and boost converters. As input variables to the PV systems, recorded irradiance and temperature, and extracted photovoltaic parameters (ideality factor, series resistance and reverse saturation current) were used. The obtained results show that buck converter has a lot of power losses when controlled by each of the four MPPT algorithms. Meanwhile, boost converter presents a stable output power during the whole day. Once more, the results show that INCV algorithm has the best performance.

关键词： mppt algorithms DC-DC Converters Photovoltaic Parameters Normal Operating Conditions

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