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Application of a Control algorithm for the Master Unit of a Distributed Photovoltaic System

INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS 2022年第4期68卷 863-866页

作者： Swiderski, Mariusz Gssiorek, Amadeusz Poznan Univ Tech Fac Control Robot & Elect Engn Poznan Poland

presented distributed photovoltaic system is made of divided into individual modules photovoltaic panel, consisting of several photovoltaic cells properly connected and coupling them with low-power DC / DC converters. The essence of the research is to increase the reliability of the system and the resultant efficiency of the entire system, so that it is possible to convert solar radiation energy into electricity with the greatest efficiency. The article focuses on the presentation of the implementation and tests of the overriding control algorithm, the task of which is to provide full functionality for a distributed photovoltaic system. The control is designed to minimize the negative effects of shadows on the operation of the photovoltaic system and conduct self-diagnostics. The conclusion for the carried out work is the formulation of hardware and interface requirements for the further development of the project.

关键词： -photovoltaic cell photovoltaic systems solar energy mppt algorithm DC DC converters shading

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Efficient and robust control of a standalone PV-storage system: An integrated single sensor-based nonlinear controller with TSCC-battery management

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JOURNAL OF ENERGY STORAGE 2024年 95卷

作者： Belghiti, Hamid Kandoussi, Khalid Harrison, Ambe Benbba, Rania El Otmani, Rabie Chellakhi, Abdelkhalek Sadek, El Mostafa Univ Chouaib Doukkali Natl Sch Appl Sci Lab Engn Sci Energy El Jadida Morocco Univ Buea Coll Technol COT Dept Elect & Elect Engn POB Buea 63 Buea Cameroon Cadi Ayyad Univ Fac Sci Semlalia Mat Energy & Environm Lab Marrakech Morocco

The aim of this research undertaking is to investigate an integrated approach that extends the battery life of a single-stage off-grid photovoltaic system while simultaneously increasing the availability of solar photovoltaic power. This paper takes a synergistic approach to addressing these issues, in contrast to the numerous prior papers that have investigated them individually. In regard to the initial issue, this article proposes a hybrid mppt solution which combines a backstepping controller with a distinct single-sensor mppt approach. The aforementioned integrated system guarantees the exact attainment of the maximum power point (MPP) of the photovoltaic solar array, regardless of weather fluctuations. With regard to the second issue at hand, the effective management of charge for lead-acid batteries is accomplished by employing a three-stage charging controller (TSCC). The simulation results generated in MATLAB/Simulink indicate that mppt tracking and battery charge control exhibit markedly improved performance across a range of weather conditions when the climatic conditions of El Jadida city, Morocco are taken into account. The hybrid method, as proposed, indisputable surpasses alternative mppt approaches such as Inc-PI, FLC, PSO, RegP, and IMP-PO, with respect to convergence time (<3 milliseconds), variation (<0.19 watts), and tracking efficiency (over 99.86 %). Furthermore, the battery station is outfitted with secure and appropriate charging modes. In conclusion, the experimental validation of the proposed system against an actual experimental system in the laboratory verifies its hardware and practical viability.

关键词： mppt algorithm Photovoltaic system Battery charger Three-stage charging controller (TSCC) performance Buck converter

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A deep recurrent reinforcement learning approach for enhanced mppt in PV systems

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APPLIED SOFT COMPUTING 2024年 162卷

作者： Wadehra, Archit Bhalla, Siddhant Jaiswal, Vicky Rana, K. P. S. Kumar, Vineet Netaji Subhas Univ Technol Instrumentat & Control Engn Dept Sect-3 New Delhi 110078 India

Under partial shading condition (PSC), for efficient usage, solar photovoltaic (PV) systems are required to operate at global maximum power point (GMPP). A maximum power point tracking (mppt) controller is usually employed for this task. In this work, for mppt under PSC, a recurrent deep reinforcement learning (DRL) approach has been developed and investigated. The optimized neural network, augmented by long short-term memory (LSTM), is trained using the proximal policy optimization (PPO) DRL algorithm. The mppt performance of the proposed scheme was assessed using the GMPP attainment accuracy (%), on several realistic static and dynamic test cases. The presented investigations revealed the proposed controller's average mppt accuracy of 97.79 % for the considered random static PSCs. Similarly, average mppt accuracies of 95.69 % under changing irradiance, 95.70 % under change in temperature and 95.77 % under changes in both irradiance and temperature were recorded. These accuracies are found to be significantly superior to recent reported works. The resulting performance enhancement is attributed to the inclusion of LSTM, which allowed the agent to retain information about past states and actions, enabling it to make informed decisions. Therefore, based on the presented investigations, it is concluded that the proposed PPO-LSTM approach is an excellent mppt alternative for PV systems.

关键词： Partial shading mppt algorithm Deep reinforcement learning Optimization

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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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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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Maximum Power Point Tracking for Photovoltaic Panels Using Model Predictive Control and Incremental Conductance

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2021年第4-5期49卷 345-360页

作者： Lopes Filho, Gilberto Pereira Franco, Ricardo Augusto Teles Vieira, Flavio Henrique Univ Fed Goias UFG Escola Engn Elect Mecaninca & Comp Goiania Go Brazil Univ Fed Goias UFG Inst Informat Goiania Go Brazil

In this work, a novel maximum power point tracking algorithm (mppt) based on Model Predictive Control (MPC) for photovoltaic systems is proposed. The considered system is composed by a photovoltaic panel connected to a load using a flyback converter. The proposed approach combines MPC with a modified Incremental Conductance algorithm with a variable step size, verified in this work to be more efficient than the Perturb and Observe algorithm in tracking maximum power point, making the PV system to generate more energy. Computational simulations are carried out to compare the performance of the considered mppt algorithms, analyzing the output voltage and output power behavior at the photovoltaic panel. The results of the simulations show that the proposed algorithm provides better performance for the photovoltaic system than the main mppt algorithms in the literature.

关键词： mppt algorithm MPC photovoltaic panel

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Maximum power point tracking algorithm for photovoltaic systems considering error minimization and power derivative

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2021年第3期22卷 297-308页

作者： Lopes Filho, Gilberto Pereira Franco, Ricardo Augusto Teles Vieira, Flavio Henrique Univ Fed Goias BR-74605220 Goiania Go Brazil

In this work, a new maximum power point tracking algorithm (mppt) for photovoltaic systems is proposed. The considered system is composed of a photo-voltaic panel charging a battery using a buck-type DC-DC converter. Computational simulations are carried out to compare the performances of the mppt algorithms, therein analyzing the output voltage and output power behavior at the photovoltaic panel. Three evaluation scenarios are considered: with constant irradiance and temperature, randomly chosen conditions and using real data. The results of the simulations show that the proposed algorithm applied to the photovoltaic system achieves a better performance than the main mppt algorithms in the literature.

关键词： buck converter mppt algorithm photovoltaic panel

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A Comprehensive Control Strategy for a Push-Pull Microinverter Connected to the Grid

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ENERGIES 2023年第7期16卷 3196页

作者： Diaz, Manuel Munoz, Javier Rivera, Marco Rohten, Jaime Univ Talca Fac Engn Engn Sci Masters Program Curico 3340000 Chile Univ Talca Fac Engn Curico 3340000 Chile Univ Nottingham Fac Engn 15 Triumph Rd Nottingham NG7 2GT England Univ Bio Bio Dept Elect & Elect Engn Concepcion 4051381 Chile

The effects of partial shading or dust accumulation on the panels of photovoltaic systems connected to the grid can generate a considerable reduction in energy performance, being necessary to provide the appropriate voltage to the grid regardless of the irradiance level. This paper addresses this problem and presents a comprehensive control strategy and its implementation for a grid-connected microinverter composed of a push-pull converter followed by an H-bridge inverter. In the push-pull converter, a hybrid mppt algorithm and a PI control enable work in the MPP of the PV panel. In the H-bridge inverter, a cascade control consisting of a PI control and a predictive control allows the connection to the grid. A proof-of-concept prototype is implemented in order to validate the proposal. Experimental tests were performed by connecting the microinverter to a PV panel and a programmable photovoltaic panel emulator to check the mppt performance. Furthermore, partial shading conditions were simulated on the dc source to check if the global maximum power point is reached. Experimental results demonstrate the feasibility of the topology and the control approach, obtaining mppt performance in the topology above 99% at different power and voltage levels on the mppt, even in the presence of partial shading conditions.

关键词： microinverter mppt algorithm push-pull converter renewable energy

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Method to Improve the Power Coefficient of Vertical Axis Wind Turbines 1

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AUN/SEED-Net Joint Regional Conference in Transportation, Energy, and Mechanical Manufacturing Engineering, RCTEMME 2021

作者： Nguyen, Bao The Ngo, Minh Van Ngo, Huy Gia University of Technology – Vietnam National University Ho Chi Minh City Viet Nam Institute of Sustainable Energy Development Ho Chi Minh City Viet Nam

ISBN: (数字)9789811919688

ISBN: (纸本)9789811919671

Vertical axis wind turbines (VAWTs) have recently been gotten the attention for off-grid power generation due to their advantages over the popular horizontal axis wind turbines (HAWTs) such as omni-directionality, simplicity in design, operating at a lower tip speed ratio (TSR) leading to lower noise emission, etc. These advantages of VAWTs make them more suitable for the urban environment. The paper first applies the Double-Multiple Stream tube (DMST) Model to calculate the power coefficient of a VAWT using GOE 222 blades, then determines the optimum tip speed ratio to achieve the maximum power coefficient CP. After that, a method to improve the power coefficient CP is proposed. This method is based on an mppt algorithm of adjusting the output voltage of the controller to achieve the maximum power output of VAWTs. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Double-Multiple Stream tube (DMST) model mppt algorithm Power coefficient CP Tip speed ratio (TSR) Vertical axis wind turbines (VAWT)

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A novel optimiser of mppt by using PSO-AG and PID controller

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INTERNATIONAL JOURNAL OF AMBIENT ENERGY 2021年第1期43卷 5199-5206页

作者： El Hariz, Zahira Hicham, Aissaoui Mohammed, Diany Sultan Moulay Slimane Univ Sustainable Dev Lab Beni Mellal Morocco

This article presents a new methodology based on the application of the proportional-integral-derivative controller (PID) for the monitoring of the maximum power point of a solar system. The method explored is an evolving technique called PSOAG used in the detection and exploitation of the maximum power of the photovoltaic panel to improve its efficiency. The proposed methodology is based on three optimisation techniques: perturbation and observation (P&O), genetic algorithm (AG) and the particle swarm of optimisation (PSO). The main role of the PSO method, on the one hand, is to help the PID controller to discover the gains, in a dynamic situation, and on the other hand to increase the response time, the Settling Time and reduce the ripples of the power signal. The analysis of the performances and the rentability of the proposed method are made for a photovoltaic module-type Soltech 1STH-250-WH. In addition, the performance is also analysed by a comparative study with PSO-PID and AG-PID methods.

关键词： Solar energy mppt algorithm Particle Swarm of Optimisation genetic algorithm PID controller

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