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Photovoltaic maximum power point tracking for mobile applications

ELECTRONICS LETTERS 2010年第22期46卷 1520-1521页

作者： Ridge, A. N. Amaratunga, G. A. J. Univ Cambridge Dept Engn Elect Engn Div Cambridge CB3 0FA England

The photovoltaic maximum power point tracking (mppt) algorithm based on incremental conductance is found to have an error mode which prevents its normal operation under conditions of rapidly changing/oscillating solar input (insolation). An enhancement to the algorithm is investigated and experimentally evaluated. It can be readily added around an existing mppt algorithm to enable it to be used more reliably in mobile applications.

关键词： mppt algorithm error mode incremental conductance insolation maximum power point trackers mobile applications normal operation photovoltaic maximum power point tracking power supplies to apparatus solar cells solar input

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A positive output-super lift Luo converter fed brushless DC motor drive using alternative energy sources

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2021年第2期31卷

作者： Femi, R. Sree Renga Raja, T. Shenbagalakshmi, R. Univ Coll Engn Nagercoil Dept Elect & Elect Engn Nagercoil 629004 Tamil Nadu India SKN Sinhgad Inst Technol & Sci Dept Elect Engn Pune Maharashtra India

In this work, solar PV system and wind driven by permanent magnet synchronous generator (PMSG) are the sources which are driven by a brushless DC motor (BLDC). The solar PV system employs super lift Luo converter to attain DC voltage regulation. The primary intention of employing positive output-super lift (PO-SL) Luo converter is to acquire high voltage gain ratio as well as to derive maximum power from solar panel. The output extracted from the wind is fed to the PWM rectifier to convert AC into DC. The speed regulation of BLDC drive for pumping application is attained via variable DC-Link capacitor through VSI. Additional control circuits are not necessary to regulate the speed of drive. An appropriate control of PO-SL Luo converter duty cycle using optimized control algorithm offers smooth starting of BLDC drive. Maximum power point techniques are adopted to derive the maximum power from a PV network and the fuzzy based maximum power point tracking (mppt) approach has been found to offer better results for unexpectedly varying environment conditions as compared to other approaches. In order to regulate the output voltage from the wind system, PI controller is utilized. It also provides additional support to the entire proposed system in absence of poor solar irradiance. The modeled drive system is capable of achieving higher efficiency. The real-time implementation of the proposed system is also validated through experimental setup.

关键词： BLDC drive efficiency mppt algorithm PI controller PO‐ SL Luo converter speed control VSI

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mppt in PV systems under partial shading conditions using artificial vision

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ELECTRIC POWER SYSTEMS RESEARCH 2018年 162卷 89-98页

作者： Martin, Aranzazu D. Vazquez, Jesus R. Cano, J. M. Univ Huelva Huelva Spain Univ Seville Seville Spain

Maximum power point tracking (mppt) algorithms should track and extract the maximum power from photovoltaic (PV) systems under any environmental conditions. Most of conventional mppt methods are able to reach the maximum point when there is only one peak in the P-V characteristic curve but they fail when the solar cells are affected by partial shading conditions due to the fact that multiple peaks appear in the P-V curve. Thus, a local maximum may be reached instead of the global peak. In this work, a new method to accomplish the maximum power point (MPP) under partial shading conditions using artificial vision is presented. The artificial vision uses a webcam to identify in real time the shadow irradiance and provide the reference voltage that supplies the maximum power, regardless of the number of peaks that the P-V curve presents. Then, the reference voltage is used by a robust and non-linear control, the backstepping controller, to regulate the DC/DC converter input voltage and to guarantee the PV modules maximum energy extraction. Experimental tests carried out outdoor validate the proposed method, obtaining a MPP tracking efficiency that ranges from 98.1% to 99.6%.

关键词： Artificial vision Backstepping control DC/DC converter mppt algorithm Photovoltaic system

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Integral sliding mode control for DFIG based WECS with mppt based on artificial neural network under a real wind profile

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ENERGY REPORTS 2021年 7卷 4809-4824页

作者： Chojaa, Hamid Derouich, Aziz Chehaidia, Seif Eddine Zamzoum, Othmane Taoussi, Mohammed Elouatouat, Hasnae Sidi Mohamed Ben Abdellah Univ Higher Sch Technol Ind Technol & Serv Lab Fes 30000 Morocco Univ Badji Mokhtar Res Lab Ind Risks Non Destruct Control & Operatin Annaba Algeria Mohammed V Univ Rabat Res Ctr Sci & Technol Engn & Hlth Higher Natl Sch Comp Sci & Syst Anal Rabat Morocco

Handling the internal parametric variations and the nonlinearities of the high rated wind energy conversion system (WECS) is remained among the main challenges to maximize the produced energy, ameliorate its quality and ensure its efficient integration on the grid. In this context, a robust integral sliding mode control (ISMC) with Lyapunov function is proposed to control the active and reactive powers of a doubly fed induction generator (DFIG) based wind turbine, and to assure high dynamic performances according to the wind speed variation. To operate around an optimal rotational speed, a robust mppt algorithm with mechanical speed control based on artificial Neural Network Controller (ANNC) is presented in order to extract the maximum power. Thereafter, the robust integral SMC are replaced by Field Oriented Control (FOC_PI) for comparative purposes. The objective is to prove the best performances of the system obtained by the proposed control method in terms of the dynamic response, total harmonic distortion THD (%) of the injected current into the grid, the reference tracking ability, Overshoot (%), precision and robustness. The effectiveness and robustness of each control techniques has been implemented and tested under MATLAB/Simulink environment by using a 1.5 MW wind system model. (C) 2021 Published by Elsevier Ltd.

关键词： Wind energy conversion system (WECS) mppt algorithm Artificial neural network controller (ANN) Integral sliding mode controller (ISMC) Field Oriented Control (FOC)

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Granular control of photovoltaic arrays by means of a multi-output Maximum Power Point Tracking algorithm

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PROGRESS IN PHOTOVOLTAICS 2013年第5期21卷 918-932页

作者： Petrone, Giovanni Andres Ramos-Paja, Carlos Spagnuolo, Giovanni Vitelli, Massimo Univ Salerno Dip Ingn Elettron & Ingn Informat I-84084 Salerno Italy Univ Nacl Colombia Fac Minas Medellin Colombia Univ Naples 2 Dip Ingn Informaz Aversa CE Italy

In this paper, a Distributed Maximum Power Point Tracking (D-mppt) approach in photovoltaic (PV) applications is discussed. The proposed control method is suitable for the granular control of the PV generator at a module level or even at a sub-module level. D-mppt is usually implemented by means of independent converters, each one of them running its own mppt algorithm. Instead, the architecture proposed in this paper consists of only one digital controller, implementing a multivariable mppt algorithm based on the Perturb and Observe approach, acting on a number of dc/dc converters, each one of them dedicated to a single PV module. The proposed control strategy reduces the number of current sensors with respect to the classical D-mppt architecture and tracks the maximum power evaluated at the dc/dc converters' output. Planar solid immersion mirror simulations and experimental results confirm the validity of the approach and of the design guidelines proposed in the paper. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： photovoltaic mppt algorithm

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Performance evaluation of a multistring photovoltaic module with distributed DC-DC converters

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IET RENEWABLE POWER GENERATION 2015年第8期9卷 935-942页

作者： Grasso, Alfio Dario Pennisi, Salvatore Ragusa, Massimiliano Tina, Giuseppe Marco Ventura, Cristina Univ Catania Dipartimento Ingn Elettr Elettron & Informat I-95125 Catania Italy STMicroelectronics Catania Italy

Photovoltaic (PV) systems, especially the ones installed in urban and suburban areas, operate often under non-uniform distribution of solar irradiance and PV cells temperature over the PV array. At this purpose, an architecture of the PV system based on distributed DC-DC converters, that performs the maximum power point tracking algorithm (Dmppt) can effectively counteract the reduction of power efficiency because of electrical, thermal and irradiance mismatch phenomena. Aim of this study is to experimentally assess the effect of the use of DC-DC boost converters with mppt capability, directly applied at the substring level of a single PV module. The novelty of the approach here proposed with respect to the state-of-the-art is that the outputs of the converters are connected in parallel. Comparing the power efficiency of a conventional PV module with that of the considered prototype where the three substrings are connected to a dedicated DC-DC converter, a remarkable improvement of the extracted power ranging from 11 to 25% under non-uniform solar radiation was found.

关键词： maximum power point trackers solar cell arrays multistring PV module performance evaluation distributed DC-DC boost converter photovoltaic system cell array solar irradiance nonuniform distribution maximum power point tracking algorithm mppt algorithm Dmppt power efficiency reduction thermal mismatching phenomena irradiance mismatching phenomena electrical mismatching phenomena

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Improved particle swarm optimization algorithm for photovoltaic system under local shading

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JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 2022年第7期45卷 632-643页

作者： Chiu, Yi-Jui Li, Bi Jian, Sheng-Rui Lien, Shui-Yang Yi, Ji-Ming Xiamen Univ Technol Sch Mech & Automot Engn 600 Ligong Rd Xiamen 361024 Fujian Peoples R China I Shou Univ Dept Mat Sci & Engn Kaohsiung Taiwan Xiamen Univ Technol Sch Optoelect & Commun Engn Xiamen Fujian Peoples R China

To solve the prediction accuracy problem of the commonly used photovoltaic power generation model in industry, the theoretical model of photovoltaic power generation is improved based on the experimental data in this paper. Furthermore, the influences of the photovoltaic module output characteristics and local shading on the power generation efficiency of series photovoltaic modules were analyzed using MATLAB simulations. Finally, to solve the maximum power point tracking problem of the traditional maximum power point tracker algorithm under local shading, an improved particle swarm optimization (PSO) algorithm based on a linearly decreasing inertia weight w and a learning scale factor delta is proposed in this paper. The simulation results showed that the proposed algorithm tracked the power 1.45 times faster than the PSO algorithm, had 5.8 and 5.09 times more power stability at the working points than the PSO and perturb and observe (P&O) algorithms, respectively, and had 1.12 and 1.25 times more power at working points than the PSO and P&O algorithms, respectively.

关键词： Photovoltaic power generation SIMULINK mppt algorithm local shading

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Indirect grid power factor tuning with PV-STATCOM using shift mode phase locking strategy

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ELECTRICAL ENGINEERING 2023年第2期105卷 1317-1329页

作者： Rashid, Zeeshan Amjad, Muhammad Anjum, Waqas Islamia Univ Bahawalpur Dept Elect Engn Bahawalpur Pakistan Islamia Univ Bahawalpur Dept Elect Engn Bahawalpur Pakistan

Reactive power supervision and regulation within the disciplined borderlines have captivated phenomenal attention for the sake of running the power system at stable and efficient potential. Energy sources furnished with advanced power and control architectures present robust and versatile features for load sharing, command-based control, reactive power compensation and power factor tuning for a wide range of loads. Photovoltaic (PV) module integrated with advanced inverter technologies has the ability to indirectly tune the reactive power from the grid with strict precision which is impossible to achieve with conventional passive compensators. This paper presents a novel method for active and/or reactive power compensation from PV-based STATCOM embedded with maximum power point tracking (mppt) algorithm and having the capability of power injection into the grid. The modeling initiates with the implementation of phase locked loop, detection of load current components and inverter reference generation based on the command signal to control the grid current. The effect of enabling the mppt command causes generation of maximum active power from PV module irrespective of the load demand which sinks to the grid in case of its surplus availability. Finally, the reactive power supply from the grid is indirectly controlled by implanting a phase shift equivalent to the set power factor in the PLL output which rotates both the inverter and the grid current vectors. The proposed methodology of command-based tuning of power factor is open loop by nature which eliminates instability issues, produces least steady-state error and is fast enough to converge in a reasonable time.

关键词： PV Active compensation FACTS Power factor Reactive power control mppt algorithm

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A new variable step size neural networks mppt controller: Review, simulation and hardware implementation

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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2017年第Part1期68卷 221-233页

作者： Messalti, Sabir Harrag, Abdelghani Loukriz, Abdelhamid Mohamed Boudiaf Univ Fac Technol Dept Elect Engn BP 166 Ichbilia Msila 28000 Algeria Ferhat Abbas Univ Fac Technol Dept Elect CCNS Lab Setif 19000 Algeria Polytech ENP Dept Elect Engn El Harrach Algeria

In this paper, two new Artificial Neural Network mppt controllers based on fixed and variable step size have been proposed and investigated. The data required to generate the ANN model are generated using the classical Perturbation and Observation algorithm. The neural network mppt controller is developed in two steps: the offline step required for training of different neural networks parameters in order to find the optimal neural network mppt controller (structure, activation function and training algorithm) and the Online step where the optimal neural network mppt controller is used in PV system. The performance of the proposed variable step size and fixed step size ANN-mppt methods are analyzed under different operating conditions using Matlab/Simulink. To validate the simulated system hardware implementation of the proposed algorithms was carried out using experimental prototype mppt based on Flyback converter connected, to Solarex MSX-60 (4 panels) and dsPIC30F4011 control circuit. Analysis and comparative study between the proposed fixed and variable step size ANN-mppt controllers have been presented, showing a real contributions in term of tracking accuracy, response time, overshoot and steady state ripple. In addition, this paper can be considered as a review study on ANN-mppt methods for PV systems.

关键词： Artificial neural network mppt controller mppt experimental design Fixed and variable step size algorithms Modified Perturbation and Observation (P & O) mppt algorithm

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Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine

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RENEWABLE ENERGY 2020年第Part1期147卷 1759-1771页

作者： Mensou, Sara Essadki, Ahmed Nasser, Tamou Idrissi, Badre Bououlid Ben Tarla, Lahssan Mohammed V Univ Rabat Res Ctr Engn & Hlth Sci & Technol ENSET Rabat Morocco Mohammed V Univ Rabat Res Ctr Engn & Hlth Sci & Technol ENSIAS Rabat Morocco ENSAM Moulay Ismail Univ Meknes Electromech Engn Dept Meknes Morocco

This research paper deals whit the control of a doubly fed induction generator (DFIG) driven in rotation by wind turbine, the objective of this work is to control the electromagnetic torque of the generator and have a specified reactive stator power generated whatever perturbations, the mppt method was used to extract the maximum of the power for different wind speed variations. To control the system studied we have used the Nonlinear Backstepping Controller with Lyapunov function, the robustness of our controller is tested in terms of reference tracking under perturbed conditions (generator parameters variations and voltage dips). All were implemented on dSPACE DS1104 Controller card Real-Time Interface (RTI), which runs in Simulink/MATLAB environment and ControlDesk 4.2 graphical interfaces. Hardware simulation results show and validate the performances and robustness of our controller. (c) 2019 Elsevier Ltd. All rights reserved.

关键词： Wind energy DFIG dSPACE board Backstepping controller mppt algorithm

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