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Comparative analysis of mppt algorithms bio-inspired by grey wolves employing a feed-forward control loop in a three-phase grid-connected photovoltaic system

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IET RENEWABLE POWER GENERATION 2019年第8期13卷 1379-1390页

作者： Sampaio, Leonardo Poltronieri da Rocha, Maykon Vichoski Oliveira da Silva, Sergio Augusto Takami de Freitas, Marcelo Hideo Fed Univ Technol UTFPR CP Dept Elect Engn Ave Alberto Carazzai 1640 BR-86300000 Cornelio Procopio PR Brazil

It is well-known that performance of photovoltaic (PV) systems can be severely deteriorated when PV arrays are subjected to partial shading conditions, once the traditional techniques used for maximum power point tracking (mppt) could not operate in the global maximum power point (GMPP). Thus, to overcome this problem and achieve the GMPP, four mppt techniques bio-inspired in the grey wolf optimisation (GWO) are presented. These mppt techniques, which are named as GWO, GWO-Beta, GWO-IC (Incremental Conductance), and GWO-P&O (Perturb and Observe), are evaluated and compared to each other by employing a double-stage three-phase grid-connected PV system, which is composed of DC/DC converter and three-phase inverter. Commonly, the DC-bus voltage regulation of double-stage PV systems presents slow dynamic behaviour to avoid disturbances in the currents injected into the grid. As a result, mppt algorithms suffer with this problem since they must be executed considering this condition. To overcome this problem, a feed-forward control loop (FFCL) is implemented to improve the DC-bus voltage regulation during abrupt solar irradiance changes, as well as accelerating the mppt algorithms dynamics. By means of extensive experimental and simulation results, the performance and effectiveness of the four mppt techniques, as well as the FFCL, are evaluated.

关键词： photovoltaic power systems invertors power grids maximum power point trackers power generation control voltage control feedforward comparative analysis grey wolves feed-forward control loop three-phase grid-connected photovoltaic system photovoltaic systems PV arrays partial shading conditions traditional techniques maximum power point tracking global maximum power point GMPP mppt techniques bio-inspired grey wolf optimisation GWO-Beta GWO-IC three-phase inverter DC-bus voltage regulation mppt algorithms dynamics mppt algorithms incremental conductance GWO-P&O technique double-stage three-phase grid-connected PV system double-stage PV systems slow dynamic behaviour FFCL solar irradiance

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Comparative study of the reliability of mppt algorithms for the crystalline silicon photovoltaic modules in variable weather conditions

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Journal of Electrical Systems and Information Technology 2017年第1期4卷 213-224页

作者： Abraham Dandoussou Martin Kamta Laurent Bitjoka Patrice Wira Alexis Kuitché Department of Electrical and Power Engineering Higher Technical Teachers’ Training College (HTTTC) University of Buea Kumba Cameroon Laboratory of energy signal image and automation (LESIA) National School of Agro-Industrial Sciences University of Ngaoundere P. O. Box 455 Ngaoundere Cameroon Laboratory MIPS University of Haute Alsace 61 Road Albert Camus 68093 Mulhouse Cedex France

The crystalline silicon photovoltaic modules are widely used as power supply sources in the tropical areas where the weather conditions change abruptly. Fortunately, many mppt algorithms are implemented to improve their performance. In the other hand, it is well known that these power supply sources are nonlinear dipoles and so, their intrinsic parameters may vary with the irradiance and the temperature. In this paper, the mppt algorithms widely used, i.e. Perturb and Observe (P&O), Incremental Conductance (INC), Hill-Climbing (HC), are implemented using Matlab ® /Simulink ® model of a crystalline silicon photovoltaic module whose intrinsic parameters were extracted by fitting the I(V) characteristic to experimental points. Comparing the simulation results, it is obvious that the variable step size INC algorithm has the best reliability than both HC and P&O algorithms for the near to real Simulink ® model of photovoltaic modules. With a 60 Wp photovoltaic module, the daily maximum power reaches 50.76 W against 34.40 W when the photovoltaic parameters are fixed. Meanwhile, the daily average energy is 263 Wh/day against 195 Wh/day.

关键词： Crystalline silicon photovoltaic module Fittings mppt algorithms Modelling Simulation

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Experimental Evaluation of mppt algorithms: A Comparative Study

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INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH 2021年第1期11卷 486-494页

作者： Chellal, Majd Guimaraes, Thiago Fialho Leite, Vicente Super Sch Appl Sci BP 165 RP Bel Horizon Tilimsen 13000 Algeria Technol Fed Univ Parana BR-80230901 Curitiba Parana Brazil Polytech Inst Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Campus Santa ApoIonia P-5300253 Braganca Portugal

Photovoltaic (PV) energy is among the most used renewable sources. Grid-connected PV systems should yield as much energy as possible. However, external influencers such as irradiance and temperature impose a non-linear characteristic of the PV system, which hinder its operation at the maximum power point. Additionally, other factors, such as shading or internal degradation, can change this characteristic by making local maximums appear, which makes it difficult to extract the maximum available power. There are several techniques for maximum power point tracking (mppt) and very diverse algorithms for this purpose. There are also some published works with comparative studies. However, in most of these works, the comparison is based on a literature review or on simulation. An experimental evaluation of mppt techniques, from the simplest to the most complex, remains relevant. Thus, this paper presents an experimental analysis of five mppt algorithms: two of the simplest and widely used (Perturb & Observe and Incremental Conductance) and three of the most complex (Fuzzy Logic Controller, Kalman Filter and Particle Swarm Optimization). The experimental tests were carried out under real test conditions, using Simulink and the dSPACE 1103 real-time controller board. The results show that the five mppt algorithms are able to track the MPP with a difference of less than 2% in their efficiency under normal operating conditions. This difference increases under shadow effect. The PSO algorithm was the only one able to find the global MPP under the effect of partial shading.

关键词： mppt algorithms Perturb and Observe Incremental Conductance Fuzzy Logic Control Kalman filter Particle Swarm Optimization

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Performance Evaluation in Lima of mppt algorithms Implemented Over a Low Cost Microcontroller

Performance Evaluation in Lima of MPPT Algorithms Implemente...

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IEEE International Congress on Electronics, Electrical Engineering and Computing (INTERCON)

作者： R. Adriano A. Osorio M. Quispe J. E. Luyo National University of Engineering Lima Perú National Institute of Research and Training on Telecommunications Lima Perú

ISBN: (数字)9781728193779

ISBN: (纸本)9781728193786

The distributed generation based on renewable energies is a new technology in the current development of microgrids. In this article the analysis of the performance of the three most used algorithms to track the maximum power point in a photovoltaic generation system is shown. The algorithms were implemented in a low-end microcontroller (ATMEGA328); the evaluations were made for the typical climatic conditions of Lima in the month of April 2017. The results show that the incremental conductance algorithm responds with higher performance than the Perturb and Observe and fuzzy algorithms.

关键词： mppt algorithms Perturb and Observe incremental conductance fuzzy low cost microcontroller Incremental conductance Fuzzy Performance Evaluation algorithms Microcontrollers photovoltaic power systems Fuzzy algorithms distributed power generation maximum power point trackers Renewable energy Climatic conditions

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Power Boost Converter Modeling, Design and mppt Control Comparative Study for Photovoltaic Power Generation in Connected Smart Micro Grid 1st

Power Boost Converter Modeling, Design and MPPT Control Comp...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： Mouheddani, Hind Bourki, Fatima Zahra Abaali, LHoussine ERTTI Laboratory Engineering Science Department Faculty of Sciences and Technics Moulay Ismail University of Meknes Errachidia Morocco

ISBN: (纸本)9783031867040

This work proposes the modeling, design and a comparative study of P&O and incremental conductance mppt control algorithms for power boost converter for photovoltaic power generation in connected smart micro grid. Under non-linear output of a photovoltaic module PV and different irradiance and temperature levels the proposed model and the comparative study are tested and evaluated with operating point changes and effect of restore inductance filter of power boost converter. A behavioral analysis of the proposed model and two maximum power point tracking algorithms in terms of speed, accuracy, and stability has been established through numerical simulation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： mppt algorithms Photovoltaic power generation Power boost converter

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System Identification Based ARV-mppt Technique for PV Systems Under Variable Atmospheric Conditions

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IEEE ACCESS 2022年 10卷 51325-51342页

作者： Gundogdu, Ahmet Batman Univ Dept Elect & Elect Engn TR-72070 Batman Turkey

Different tracking algorithms have been developed to obtain maximum efficiency from the PV power systems under changing atmospheric conditions. Some of these algorithms are effective under uniform irradiance, while the others are effective under partial shading conditions. In this study, a new mppt method designed with System Identification-SI and named SI-based polynomial ARV is proposed for a PV system under uniform irradiance. The recommended method is also an adaptive reference voltage-ARV-based method. In this method, the model in which the reference voltage is obtained has a simple polynomial structure. This polynomial model has been obtained by assuming that the PV system is a nonlinear black-box type system. The input-output data, which are required for modeling, were created in MATLAB/Simulink environment. Then, by using these data with SI-Toolbox, the mathematical model of the PV system in polynomial structure giving the input-output relationship was obtained. T temperature information was used as model input, which was the generated reference voltage. Simulation studies were carried out under two different changing atmospheric scenarios;and the performance of the proposed method was analyzed. The obtained results were compared with perturb & observe-PO, incremental conductance-IC, constant voltage reference-CVR, artificial neural network-ANN-based ARV, and SI-based nonlinear ARV methods. All simulation results showed that the recommended method is simple structured, applicable, and has high performance.

关键词： Integrated circuits Signal processing algorithms Particle swarm optimization Optimization Classification algorithms Mathematical models Atmospheric modeling Energy conversion energy management mppt algorithms photovoltaic energy renewable energy system identification

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Performance comparison of a two PV module experimental setup using a modified mppt algorithm under real outdoor conditions

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SOLAR ENERGY 2018年 169卷 401-410页

作者： Soulatiantork, P. Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy

The importance of Photovoltaic (PV) systems as a sustainable energy resource is widely recognized. The real maximum power point (MPP) is the most crucial parameter that must be considered to assure that maximum power is harvested from the PV module at all operating points. To this end, several PV testing systems and MPP tracker algorithms have been developed to find the real MPP. Issues related to the comparison of maximum power point tracking (mppt) algorithms, evaluation, and comparison of PV testing system performances are the repeatability and reproducibility of testing conditions such as solar irradiation and PV module temperature. In this work, a flexible, low-cost testing system for PV applications is presented, and two identical PV modules have been compared at the same environmental conditions. A model-based (MB) mppt algorithm, previously developed by the authors of this study, has been used. The MB algorithm has been evaluated and its efficiency is reported as 99.65%. The experimental test has been carried out and the performance of the developed architecture is validated, and two PV modules have been compared in real-time. It has been shown that the generated energy percentage difference between two identical PV modules is 0.6%. It is also worth mentioning that the proposed testing system is capable of hosting, evaluating and comparing four different mppt algorithms, four PV modules and a combination of them.

关键词： Photovoltaic modules mppt algorithms DC-DC Converter Real-time measurement

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Improved Photovoltaic mppt Algorithm Adapted for Unstable Atmospheric Conditions and Partial Shading

Improved Photovoltaic MPPT Algorithm Adapted for Unstable At...

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International Conference on Clean Electrical Power (ICCEP 2009)

作者： Zbeeb, Ahmad Devabhaktuni, Vijay Sebak, Abdel Concordia Univ ECE Dept 1455 Maisonneuve W Montreal PQ H3G 1M8 Canada Univ Toledo Dept EECS Toledo OH 43606 USA

ISBN: (纸本)9781424425433

An this paper, we present and implement an improved maximum power point tracking (mppt) algorithm for photovoltaic (PV) applications. The proposed algorithm incorporates an online current measurement and periodic interrupts to address certain challenges associated with rapidly changing insolation and partial shading. A new rule for updating the adaptive step-size is introduced for improving dynamic and steady-state responses. This rule exploits the First and second derivatives of power as a function of duty-cycle. The algorithm is implemented on a micro-controller, and the technical issues concerning the hardware design and implementation are discussed. Finally, we present both simulation and experimental results, under different irradiation schemes.

关键词： Adaptive step-size mppt algorithms partial shading photovoltaic

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Performance of Different mppt Control Techniques for Photovoltaic Systems

Performance of Different MPPT Control Techniques for Photovo...

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International Conference on Electrical Engineering (ICEE)

作者： Hassan, Syed Zulqadar Li, Hui Kamal, Tariq Ahmad, Jawad Riaz, Muhammad Hussnain Khan, Muhammad Abbas Chongqing Univ Sch Elect Engn State Key Lab Power Transmiss Equipment & Syst Se Chongqing Peoples R China Sakarya Univ Fac Engn Dept Elect & Elect Engn Sakarya Turkey Univ Engn & Technol Dept Elect Engn Lahore Pakistan Balochistan Univ Informat Technol Engn & Manageme Quetta Pakistan

ISBN: (纸本)9781538609224

Photovoltaic (PV) energy being clean and inexhaustible is an important renewable energy source. For the efficient utilization of output energy of PV arrays, it is essential to operate PV systems in the Maximum Power Point (MPP). In contrast, the nonlinear behavior of PV systems, maximum power point variations with temperature and solar irradiance level make its tracking complicated. Since, there are various mppt approaches proposed in the literature. This work presents a comparative study among three Maximum Power Point Tracking (mppt) algorithms which are Proportional Integral Derivative (PID)-based incremental conductance, PID-based perturb and observe and Fuzzy Logic Controller (FLC) based modeling of PV systems. The controllers were stimulated using MATLAB/Simulink under various weather and load conditions in terms of efficiency, power quality and MPP error. The results of simulation show that the mppt technique based on FLC is more efficient in comparison to other techniques, giving a fruitful energy conversion efficiency of 97.02%.

关键词： Photovoltaic Fuzzy Logic mppt algorithms Incremental Conductance Perturb and Observe

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High-Performance mppt Based on Developed Fast Convergence for PV System-Experimental Validation 2nd

High-Performance MPPT Based on Developed Fast Convergence fo...

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3rd International Conference on Digital Technologies and Applications

作者： Adaliou, Abdel Hamid Lamreoua, Abdelhak Isknan, Ismail Doubabi, Said Melhaoui, Mustapha El Ouariachi, Mostafa Hirech, Kamal Univ Mohammed 1 Higher Sch Technol Lab Elect Engn & Maintenance Oujda Morocco Cadi Ayyad Univ Fac Sci & Technol Marrakech Morocco Mohammed I Univ Higher Sch Educ & Training Oujda Morocco Ibn Zohr Univ Lab Mat & Renewable Energies Agadir Morocco

ISBN: (纸本)9783031298561;9783031298578

This paper proposes high-performance maximum power point tracking (mppt) based on a developed fast convergence approach. The methodology developed in this work is based on the rapid convergence of the operating point to the maximum power point. This approach is compared with conventional mppt techniques, such as perturbation and observation (P&O) and incremental conductance (IC) algorithms. This technique offers better performance in terms of start-up, steady-state and transient characteristics for climatic conditions. Additionally, this algorithm is based on the characteristics of the photovoltaic (PV) model and is also simpler than conventional mppt techniques. This proposal has been validated by experimental studies, using aDC-DC Boost converter controlled by a control circuit realized in our laboratory, under changing climatic conditions.

关键词： Fast convergence approach mppt algorithms Photovoltaic system

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