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International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability (TMREES)

作者： Borni, A. Abedelkrim, T. Bouarroudj, N. Bouchakour, A. Zaghba, L. Lakhdari, A. Zarour, Z. CDER URAER Ghardaia 47133 Algeria Univ Constatine 1 Lab Electrotech Constantine Algeria

In this paper, comparisons between control strategies for grid connected photovoltaic system are proposed. mppt algorithms P&O-PI, fuzzy logic-PI and optimized with genetic algorithm(GA) are used to control the DC/DC boost converter responsible to connect and extract the maximum power from the solar panel and transfer it to the DC-link. Another PI controller is used to maintain the DC-link voltage constant and close to its reference value under different conditions. Simulation results under different environmental and operating conditions are presented and discussed to verify the satisfactory of the performance of the proposed control strategies, in which the optimized fuzzy PI controller by GA algorithms gives the better performance specification regarding the P&O-PI algorithm. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： Solar panel mppt algorithms PI controller fuzzy logic Genetic algorithm Grid

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Multi-mode mppt Control for Improved Efficiency

Multi-mode MPPT Control for Improved Efficiency

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IEEE International Conference on Sustainable Energy Technologies

作者： Kwon, Jung-Min Choi, Woo-Young Kwon, Bong-Hwan POSTECH Dept Elect & Elect Engn Pohang 790784 Kyungbuk South Korea

ISBN: (纸本)9781424418879

A multi-mode maximum power point tracking (mppt) control for wide photovoltaic (PV) voltage range and improved efficiency is proposed in this paper. This mppt control is fitted for the two-stage PV power system which is composed of a step-up converter and a step-down inverter. In the low PV voltage, the step-up converter performs the mppt. On the other hand, in the high PV voltage, the inverter performs the mppt control. The proposed mppt control makes the dc link voltage low as soon as possible and improves the power efficiency under the wide PV voltage range.

关键词： Photovoltaic power system mppt algorithms

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Design of a fuzzy current-sensor less maximum power point tracking algorithm for photovoltaic systems

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IET RENEWABLE POWER GENERATION 2020年第18期14卷 3724-3731页

作者： Saremi, Mohammad Pourfarzad, Hamed Nemati, Milad Islamic Azad Univ Coll Tech & Engn Dept Elect Engn West Tehran Branch POB 14687-6378 Tehran Iran Univ Tehran Fac Chem Ctr Excellence Electrochem POB 14155-6455 Tehran Iran Univ Tabriz Elect Power Engn Dept Tabriz Iran

In this study, a fuzzy current-sensor less maximum power point tracking (mppt) algorithm is presented. The algorithm proposed to improve the performance and reduce the cost of photovoltaic systems. The proposed algorithm creates the variable step-size/variable frequency specification in the drift-free single input voltage sensor (SIVS) method designing a reliable and widely used fuzzy control algorithm. The proposed algorithm will improve the SIVS methods employing the advantages of the fuzzy controllers in the mppt algorithms based on the real and false error areas analysis concept developed by Tousi et al. (2016). The proposed method will detect exact drift conditions and move to the optimal setpoint at the maximum speed. The method selects the correct direction, appropriate step-size, and suitable control frequency to increase dynamic efficiency against the drift condition. Also, the steady-state efficiency of the algorithm will increase because of high-frequency and low-power oscillation performances. The proposed method will be simulated and compared in Matlab/Simulink environment and tested in laboratory conditions on the designed solar charge controller.

关键词： maximum power point trackers photovoltaic power systems fuzzy control maximum power point tracking algorithm photovoltaic systems drift-free single input voltage sensor method reliable used fuzzy control algorithm widely used fuzzy control algorithm SIVS methods fuzzy controllers mppt algorithms real error areas analysis concept false error areas analysis concept exact drift conditions maximum speed appropriate step-size suitable control frequency drift condition low-power oscillation performances designed solar charge controller

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Experimental investigation of Harris Hawk optimization-based maximum power point tracking algorithm for photovoltaic system under partial shading conditions

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OPTIMAL CONTROL APPLICATIONS & METHODS 2023年第2期44卷 577-600页

作者： Gali, Vijayakumar Babu, B. Chitti Mutluri, Ramesh Babu Gupta, Manoj Gupta, Sunil Kumar Poornima Univ Dept Elect & Elect Engn Jaipur 303905 Rajasthan India Indian Inst Informat Technol Design & Mfg Kanchee Photovolta PV Res Lab Chennai Tamil Nadu India Aryabhatta Coll Tech Educ Dept Elect Engn Ajmer Rajasthan India

An integrated quasi Z-source DC-DC converter (qZSC) along with Harris Hawk Optimization (HHO)-based maximum power point tracking (mppt) algorithm is proposed in this paper to increase the efficiency of photovoltaic (PV) system. The qZSC-based PV system experiences more voltage and current stress during partial shading conditions (PSCs), which causes overheat on qZSC components hence, degrade the efficiency and reliability of the system. Conventional swarm intelligence-based mppt algorithms track the G(MPP) during PSC, but these take longer convergence time and fail to settle at G(MPP). This uncertainty of finding the G(MPP) leads to fluctuations at output of qZSC, hence more stress on the converter components. HHO in tracking the G(mpp) eliminates premature local MPPs, enhances convergence speed by expanding the search space for finding the G(MPP). The proposed system is developed in MATLAB/Simulink environment and verified the results by developing prototype model in the laboratory by using C2000 (TM) Piccolo (TM) Launch Pad (TM), LAUNCHXL-F28027 controller. The tracking performance of the proposed HHO-based mppt algorithm is tested under fast changing and PSCs in comparison with perturb & observe (P&O), particle swarm optimization (PSO), and artificial bee colony (ABC)-based mppt algorithms. The simulation and experimental results show that the proposed HHO-based mppt algorithm is robust, tracks maximum power point in minimum convergence time in comparison with P&O, PSO and ABC-based mppt algorithms. Hence, voltage and current fluctuations at the output of qZSC are reduced. Therefore, voltages and current stress on qZSC components are reduced and the efficiency of the system is improved.

关键词： Harris Hawk optimization mppt algorithms partial shading conditions photovoltaic system quasi Z-source DC-DC converter

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Improved teaching-learning-based optimization algorithm-based maximum power point trackers for photovoltaic system

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ELECTRICAL ENGINEERING 2018年第3期100卷 1773-1784页

作者： Fathy, Ahmed Ziedan, Ibrahim Amer, Dina Zagazig Univ Fac Engn Elect Power & Machines Dept Zagazig Egypt Zagazig Univ Fac Engn Comp Engn Dept Zagazig Egypt

This paper presents an improved teaching- learning-based optimization algorithm (ITLBO) for designing and implementing the maximum power point trackers (mppt) incorporated with a photovoltaic (PV) module to extract the maximum power from the PV generating unit. The proposed algorithm is based on a population-based optimization algorithm to design a practical circuit of mppt controller based on Arduino microcontroller. A modification in the teaching-learning-based optimization algorithm is considered where the best learner is considered as a teacher in the learner phase. The ITLBO-mppt is physically implemented with Arduino Uno microcontroller which is presented as an open source. An experimental circuit comprising a PV module, a converter controlled via Arduino which is programmed by the proposed algorithm, ITLBO, is implemented, and the results are tabulated via three days of different operating conditions. A significant improvement in the global maximum power point is obtained via the proposed approach compared with that obtained via PSO and TLBO.

关键词： PV panel mppt algorithms Teaching-learning-based optimization (TLBO) Arduino microcontroller

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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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Efficient maximum power point tracking based on reweighted zero-attracting variable stepsize for grid interfaced photovoltaic systems

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COMPUTERS & ELECTRICAL ENGINEERING 2020年 85卷 106672-106672页

作者： Mohamed-Kazim, Haider A. Abdel-Qader, Ikhlas Harb, Ahmad M. Western Michigan Univ Elect & Comp Engn Dept Kalamazoo MI 49008 USA German Jordanian Univ Energy Engn Dept Amman Jordan

Maximum Power Point Tracking (mppt) algorithms mainly govern the performances of solar photovoltaic (PV) array of smart grid systems. To optimize systems' output power in both steady-state and transient situations of the tracking process, a framework using an individualized sparse-aware time-adjusting stepsize adaptation technique for the traditional mppt method is presented. The objective of this framework is to adaptively predict the produced power of a PV system instead of utilizing the currently estimated power to achieve better performance with the improved tracking abilities. This framework is based on predicting the power using the previously estimated values of the PV output voltage. In addition, the adaptation process is based on a time-varying stepsize that adjusts in accordance with the value of PV voltage. This approach presents a superior performance compared to the conventional method by providing an outstanding tracking ability and maintaining a stable performance under rapid alterations of atmospheric circumstances. (c) 2020 Elsevier Ltd. All rights reserved.

关键词： Solar photovoltaic array Adaptive Linear Prediction Filter Sparse-Aware algorithms Time-Varying Stepsize algorithms mppt algorithms Perturb & Observe Method

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Artificial neural network-based maximum power point tracking controller for real-time hybrid renewable energy system

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SOFT COMPUTING 2021年第8期25卷 6557-6575页

作者： Khan, Mohammad Junaid Mathew, Lini Mewat Engn Coll Dept Elect & Elect Engn Nuh Haryana India Natl Inst Tech Teachers Training & Res Dept Elect Engn Chandigarh 160019 India

Development of various maximum power point tracking (mppt) control techniques for proposed systems such as solar photo-voltaic (PV), wind turbine (WT), fuel cell (FC) and hybrid renewable energy system (HRES). HRES is the combination of PV, WT and FC which is connected parallelly by DC link. It is implemented in real-time using OPAL-RT system. In this research article, the mppt algorithms viz. Perturb and Observe (P&O), Fuzzy Logic (FL), Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS) have been analyzed and compared. Results have been carried out to record tracking performance of mppt controllers by introducing changes in the radiation, wind speed hydrogen fuel rate. It has been observed that the proposed HRES using ANFIS-based mppt controller provides better response as compared to other specified mppt controllers.

关键词： ANFIS ANN FC FL controller Hardware in the loop (HIL) HRES mppt algorithms OPAL-RT simulator P& O Power converters PV and WT

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Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System

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IEEE ACCESS 2022年 10卷 101922-101935页

作者： Shutari, Hussein Ibrahim, Taib Nor, Nursyarizal Bin Mohd Saad, Nordin Tajuddin, Mohammad Faridun Naim Abdulrab, Hakim Q. A. Univ Teknol PETRONAS Dept Elect & Elect Engn Seri Iskandar 32610 Perak Malaysia Quest Int Univ Fac Comp & Engn Ipoh 30250 Perak Malaysia Univ Malaysia Perlis Fac Elect Engn Technol Arau 02600 Perlis Malaysia

The growing tendency of wind energy technology usage has induced researchers to seek more studies on the improvement of wind energy harvesting systems with highly reliable power injected into the electric grid. The amount of extracted wind energy by a wind turbine depends on the accuracy of the maximum power point tracking (mppt) algorithm associated with the control scheme of the wind energy conversion system (WECS). This paper aims to present a novel development of mppt algorithm based on parabolic prediction techniques (PPT) for variable speed wind turbines (VSWT) so as to achieve maximum wind power extraction and efficiency enhancement. The developed PPT-mppt algorithm uses parabolic convex functions to estimate the parabola wind turbine output curve and locate the maximum power point on that curve. Simultaneously the algorithm establishes a systematic procedure for adjusting the concavity and the optimal part of the estimated parabola curve to make sure that the proposed technique is in continuous convergence. The feasibility of the developed PPT-mppt algorithm has been validated under rapid and random changing wind speed profiles via the MATLAB/Simulink environment. The performance of the proposed PPT-MMPT algorithm is evaluated by comparing the simulation finding to those obtained using the benchmark perturb and observe(P&O) algorithms. The simulation outcomes affirm that the proposed PPT-mppt algorithm outperformed the other algorithms in terms of tracking efficiency and extracted power which can be regarded as an efficacious manner to improve the VSWT system.

关键词： Wind speed Wind turbines Prediction algorithms Velocity control Oscillators Mathematical models Maximum power point trackers Wind power generation mppt algorithms WECS PMSG VSWT wind power wind turbine parabolic

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A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems

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INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL 2024年第9期12卷 3494-3516页

作者： Teklehaimanot, Yakob Kiros Akingbade, Francis Kayode Ubochi, Brendan Chijioke Ale, Thomas Olabode Fed Univ Technol Akure FUTA Elect & Elect Engn FUTA Main Rd Akure 34011 Ondo Nigeria

In the current era, renewable energy has emerged as a vital alternative to fossil fuels, driven by the repercussions of global warming and the depleting supply of fossil fuels. Among these alternative energies, wind energy is particularly noteworthy due to its minimal greenhouse gas emissions, cost-effectiveness, and widespread availability. Nonetheless, achieving efficient extraction of wind energy requires precise control of wind turbine operations to optimize power generation. This involves the utilization of different maximum power point tracking (mppt) algorithms. This review paper extensively examines a variety of mppt algorithms, classifying them into four main categories: indirect power control (IPC) algorithm, direct power control (DPC) algorithm, hybrid algorithm, and intelligent algorithm control techniques. The review explores the performance of conventional IPC and DPC algorithms, discussing and comparing them with modified conventional methods. Additionally, the hybrid approach, combining multiple mppt algorithms to leverage benefits while mitigating drawbacks, is examined. Intelligent mppt algorithms are discussed both independently and in hybrid configurations. The paper introduces a hybrid fractional-order intelligent mppt algorithm, offering a detailed discussion and comparison with other intelligent algorithms. A meticulous comparison is conducted based on key parameters such as adaptability, computational complexity, efficiency, oscillation, overall expense, robustness, speed of convergence, storage, time response, wind speed measurement, and wind turbine characteristics. Acknowledging the exponential growth in wind energy systems and their increasing significance, this review paper aims to be an indispensable and technically advanced reference for future studies in the dynamic domain of mppt algorithm control techniques for wind energy systems.

关键词： Fractional-order mppt algorithms Renewable energy Wind energy conversion systems Wind turbine

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