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Modeling and evaluation of main maximum power point tracking algorithms for photovoltaics systems

RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2016年 58卷 1578-1586页

作者： Enany, Mohamed A. Farahat, Mohamed A. Nasr, Ahmed Zagazig Univ Fac Engn Elect Power & Machines Dept Zagazig Egypt

This paper presents modeling and evaluation of more widely used maximum power point tracking (MPPT) algorithms. These algorithms are simulated in Matlab/Simulink environment in order to provide a comparison in terms of sensors required, ease of implementation, efficiency, and the dynamic response of the Photovoltaics (PV) systems to variations in temperature and irradiance. This simulation based evaluation can be useful in specifying the appropriateness of the MPPT algorithms for the different PV system applications. It can be used as a reference modeling for future research related to the PV power generation. Furthermore, a novel artificial intelligence technique based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is presented in this work. The solar irradiance and cell temperature are used as input to predict the duty cycle of the electronic switch of the DC-DC converter adopted in the system. The proposed technique provides high accuracy, stability, very fast tracking algorithm. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： maximum power point tracking algorithms Photovoltaics systems Adaptive Neuro-Fuzzy Inference System

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A software tool for testing maximum power point tracking algorithms using real working conditions

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2016年第29期41卷 12525-12534页

作者： Amrouche, Badia Belhaouas, Nasreddine Achachera, Soulef Boukadoum, Mohamed Tahar CDER Algiers 16340 Algeria

This paper presents a software application developed to study and compare maximum power point tracking (MPPT) algorithms for photovoltaic (PV) systems. This user-friendly simulation tool is designed to image a PV system. The first edition of this tool contains a database of real time working conditions (solar irradiance and ambient temperature) based on four PV modules models (B-model, one diode based model, two diodes based model and Akbaba model), a boost DC DC inverter with MPPT, several MPPT algorithms and a resistive load. The advantage of this work is that it permits to easily redo simulations to study the efficiency of the whole system by changing only one or more of the studied parameters. A great number of combinations are then possible: PV arrays of different sizes, different MPPT algorithms, and different working conditions allowing the analysis of the static and dynamic behavior of the MPPT algorithms. The available database allows the choice of different profiles for solar irradiance: sunny days with smooth variations and cloud covered days with sudden variations to simulate static and dynamic working conditions respectively. In addition to the comparison of the MPPT algorithms efficiency, this tool is of major interest for the analysis of the behavior of each MPPT algorithm. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Photovoltaic energy maximum power point tracking algorithms Simulation study Software tool

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The Analyze of the Dynamic Performances of Two maximum power point tracking algorithms for Photovoltaic Systems

The Analyze of the Dynamic Performances of Two Maximum Power...

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International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)

作者： Craciunescu, Aurelian Popescu, Claudia Popescu, Mihai Florea, Marin-Leonard Drugan, Elena Colt, Gabriel Univ Politeh Bucharest Fac Elect Engn Bucharest 060042 Romania

ISBN: (纸本)9780735412873

In this paper the dynamic performances of the Perturb and Observe and Incremental Conductance algorithms, which are commonly used to track the maximum power point of photovoltaic power plants, are analyzed according to the procedure provided in the European Standard EN 50530. The analysis was performed by simulation in MATLAB/SIMULINK for a grid-connected photovoltaic system.

关键词： Photovoltaic systems maximum power point tracking algorithms dynamic performances

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A Novel Hybrid maximum power point tracking Controller Based on Artificial Intelligence for Solar Photovoltaic System Under Variable Environmental Conditions

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2021年第4期16卷 1879-1889页

作者： Khan, Mohammad Junaid Pushparaj Mewat Engn Coll Dept Elect & Elect Engn Nuh Haryana India Natl Inst Tech Teachers Training & Res Dept Elect & Commun Engn Chandigarh India

Solar Photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which relies on ecological conditions such as solar radiation and ambient temperature. In order to obtain continuous maximum power (MP) from PV arrays under varying ecological conditions, maximum power point tracking (MPPT) control methods are employed. MPPT is utilized to extract MP from the solar-PV array;high-performance soft computing techniques can be used. In this paper, the proposed hybrid MPPT algorithm is used in the solar-PV system with variable climatic conditions. The performance of the proposed hybrid MPPT algorithm with different membership functions is analyzed to optimize the MPP. Simulation results establish that with the application of MPPT controller such as Perturb and Observe, Fuzzy Logic and a proposed hybrid MPPT for the solar-PV system, the proposed hybrid MPPT controller provides more accurate performance and also reduces the fluctuation about the MPP as compared to other MPPT techniques.

关键词： Solar photo-voltaic maximum power point tracking algorithms Perturb and observe Fuzzy logic controller Proposed hybrid controller

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maximum power point tracking Algorithm for Photovoltaic Systems under Partial Shaded Conditions

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IFAC-PapersOnLine 2016年第13期49卷 217-222页

作者： Oulcaid, M. El Fadil, H. Yahya, A. Giri, F. ESIT Team LGS Lab. ENSA Ibn Tofail University Kénitra14000 Morocco GREYC Lab UMR CNRS University of Caen Basse-Normandie Caen14032 France

The P-V characteristic of photovoltaic (PV) module under standard conditions (temperature and irradiation) presents one unique maximum, which can easily be tracked using conventional maximum power point tracking (MPPT) techniques. But under partial shading conditions, photovoltaic array exhibits several local maximum power points, only one of them is the global maximum. Therefore, the above techniques may fail to track the global maximum, reducing the extracted power as a result. The present paper deals with the problem of tracking the global maximum under different conditions. A new Perturb and Observe (P& O) modified algorithm is then presented. The algorithm monitors the maximum power point voltage and triggers a current-voltage sweep only when a partial shadow is detected, minimizing then the power loss due to repeated current-voltage sweeps. © 2016

关键词： maximum power point trackers Photovoltaic cells tracking (position) maximum power point tracking maximum power point tracking algorithms Mppt algorithms Partial shading Photovoltaic arrays Photovoltaic energy Photovoltaic modules Photovoltaic systems

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Improved hybrid algorithms-based MPPT algorithm for PV system operating under severe weather conditions

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IET power ELECTRONICS 2019年第4期12卷 703-711页

作者： Bataineh, Khaled Jordan Univ Sci & Technol Dept Mech Engn Irbid Jordan

This study aims to provide a comparison between several maximum power point tracking (MPPT) algorithms for PV system under severe weather conditions. Two MPPT hybrid algorithms are proposed, namely (a) hybrid combination of fuzzy logic controller (FLC) and the incremental conductance (IC) and (b) MPPT controller integrates FLC and perturb and observe (P&O) method. The two developed hybrid algorithms combined the strength of both P&O, IC with FLC in single framework. MATLAB/Simulink is used to investigate the response of both algorithms. Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) partial shading. Under partial shading on PV panel, multi-peaks appear in power-voltage characteristics of the panel. Simulation results showed that ability of FLC to track MPP degrade significantly when testing at weather conditions far from those used for training. Finally, the proposed hybrid algorithms successfully eliminate the previous limitations associated with FLC, IC, and P&O algorithms individually with efficiency exceeds 97%.

关键词： photovoltaic power systems fuzzy control maximum power point trackers power generation control fuzzy logic controller FLC partial shading PV panel improved hybrid algorithm-based MPPT algorithm PV system operating maximum power point tracking algorithms MPPT hybrid algorithms incremental conductance power-voltage characteristics perturb and observe method

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Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica

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IET RENEWABLE power GENERATION 2018年第3期12卷 342-350页

作者： Llano, Danilo Xavier McMahon, Richard Anthony Univ Cambridge Elect Engn Div 9 JJ Thomson Ave Cambridge CB3 0FA England Univ Warwick WMG Coventry CV4 7AL W Midlands England

This study presents the modelling, control and sensorless speed estimation of two micro-wind turbines deployed by the British Antarctic Survey (BAS) in Antarctica. Mathematical models for the generators attached to an Ampair 100 and Rutland 913 wind turbines and their experimental validation are given. A model for the wind turbines, particularly taking into account the power coefficient C-p versus tip speed ratio lambda relationship, was proposed and successfully evaluated on a wind turbine emulator test rig. This study describes an analogue speed estimator board and a Kalman filter for estimating the shaft speed. These estimators use only DC-side measurements to match the characteristics of the current version of the turbine control board. The wind turbine control and speed estimators were tested on the emulator test rig using real wind data from BAS research bases in Antarctica. Using only DC-side measurements leads to low computation requirements to execute the algorithms in comparison with commonly used schemes that rely on AC measurements. The estimation algorithms are based on the model of a permanent magnet generator connected to a diode rectifier, as they can be used in a wider range of applications including DC-DC converters with maximum power point tracking algorithms.

关键词： wind turbines power system simulation power system control mathematical analysis Kalman filters permanent magnet generators maximum power point trackers sensorless speed estimation micro-wind turbines Antarctica British Antarctic Survey mathematical models Ampair 100 Rutland 913 wind turbines wind turbine emulator test rig analogue speed estimator board Kalman filter permanent magnet generator diode rectifier DC-DC converters maximum power point tracking algorithms

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Review on control techniques and methodologies for maximum power extraction from wind energy systems

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IET RENEWABLE power GENERATION 2018年第14期12卷 1609-1622页

作者： Kumar, Mekalathur B. Hemanth Saravanan, Balasubramanian Sanjeevikumar, Padmanaban Blaabjerg, Frede VIT Univ Sch Elect Engn Vellore Tamil Nadu India Aalborg Univ Dept Energy Technol Esbjerg Denmark Aalborg Univ Dept Energy Technol Ctr Reliable Power Elect CORPE Aalborg Denmark

This review study focuses on various methods and technologies used in past and present for obtaining maximum output power from a wind energy conversion system. There are plenty of solution for maximum power point (MPP), but the problem lies in the effective choice made among them and it needs the expert knowledge on every technique for picking up the best MPP method as every method on its own has some advantages and disadvantages. A comparison has been made among various MPP methods in terms of convergence time, efficiency, training, complexity and wind measurement. Here, different MPP tracking (MPPT) algorithms are classified based on wind speed measurement (WSR) and without WSR models. In this study, from the literature, a novel maximum electrical power tracking (MEPT) and maximum mechanical power tracking (MMPT) methods are compared with state-of-the-art MPPT algorithms. On basis of the results obtained from the literature available, the MEPT algorithm has fast convergence rate of 15 ms;on the other hand, optimal relation-based method is having large convergence rate of 364 ms and less efficient. A case study has been considered for performance validation, and MEPT and MMPT are having a good response for dynamic variation in wind speed.

关键词： power control maximum power point trackers power generation control velocity measurement wind power plants expert knowledge wind velocity measurement wind speed measurement WSR models maximum mechanical power tracking methods MEPT algorithm optimal relation-based method wind energy conversion system maximum power point tracking algorithms MPPT algorithms maximum electrical power tracking algorithm MMPT method time 15 0 ms time 364 0 ms

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Utility intertie multi-photovoltaic-inverters-based microgrid control for solar rooftop

IET ENERGY SYSTEMS INTEGRATION

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IET ENERGY SYSTEMS INTEGRATION 2022年第2期4卷 247-266页

作者： Chauhan, Shubhra Singh, Bhim Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

The solar photovoltaic (PV)-based microgrid is one of the most ideal renewable energy resources. This paper presents a utility grid intertie multi-PV-inverter-based microgrid (MG) control for the solar rooftop application. The main and ancillary voltage source converters (VSCs) DC links are assimilated with PV arrays of independent maximum power point tracking (MPPT) algorithms for the economical and efficacious single-stage configuration. At the point of common coupling (PCC), parallel VSCs arrangement increases the MG's power rating with distinctive local loads. In normal circumstances, the current control methodology is employed by the main VSC under the grid-interactive mode. Conversely, in some grid contingency conditions under the isolated mode, its control transfers to the voltage control, which regulates the frequency and the voltage at PCC and acts like a grid-forming inverter. The ancillary VSC operation is implemented with the current control algorithm. The main VSC supplies the active power towards the grid and accomplishes the load requirement, whereas the ancillary VSC retains its load demand in a grid-interactive mode and also regulates the load requirement in an islanded mode of operation. The utilization of feed-forward components for PV arrays powers in the VSCs current control techniques improves the MG dynamic performance. The seamless mode transfer performance of the main VSC is implemented via a power electronics switch. The MATLAB software is used to model a microgrid and its performance is analysed via RT-LAB in real time through the OPAL-RT (OP4510) controller for various scenarios, that is, varying solar insolation, load alterations and unbalanced non-linear loads. The utilization of the modified Kwong's algorithm-based current control enhances the power quality such as harmonics current elimination and improvement in the power factor. The voltage profile of PCC voltages is enhanced via using a modified Kwong's algorithm-based filter in the

关键词： intertie multiphotovoltaic-inverters-based microgrid control power generation control least-mean-square method PV arrays distributed power generation distinctive local loads grid-interactive mode seamless mode transfer performance nonlinear loads single-stage configuration mean square error methods economical stage configuration OPAL-RT controller VSC current control techniques power electronics Kwong algorithm RT-LAB solar photovoltaic-based microgrid power supply quality invertors feed-forward components harmonics current elimination grid-forming inverter power electronics switch voltage-source convertors maximum power point tracking algorithms active power power quality ideal renewable energy resources voltage source converters IEEE-519 standard voltage controller solar rooftop application PCC voltages power factor voltage control total harmonic distortion grid contingency conditions solar power stations maximum power point trackers photovoltaic power systems electric current control power grids MG power rating MPPT harmonic distortion

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PV ARRAY SIMULATOR DEVELOPMENT AND VALIDATION

PV ARRAY SIMULATOR DEVELOPMENT AND VALIDATION

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35th IEEE Photovoltaic Specialists Conference

作者： Gonzalez, Sigifredo Kuszmaul, Scott Deuel, Don Lucca, Roberto Sandia Natl Labs Photovolta & Grid Integrat Dept Albuquerque NM 87185 USA

ISBN: (纸本)9781424458912

The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable power to develop and demonstrate a multi-port TerraSAS PV array simulator.

关键词： dynamic irradiance condition operation maximum power point tracking algorithms photovoltaic array solar cell arrays

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