- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - Xi'an, China (2019.6.3-2019.6.6)] 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - The application of cascade power electronic transformer in large-scale photovoltaic power generation system
摘要： In this paper, a high frequency isolated photovoltaic dc side connection system based on dual active bridge (DAB) converter with multiple photovoltaic arrays with parallel input and cascade output is proposed. The power transmission capacity of DAB converter is analyzed, its phase-shifting control strategy is designed, and a 300kW/3kV photovoltaic power generation system model is built in MATLAB/Simulink for simulation. The simulation results verify the feasibility of the system structure and the effectiveness of the proposed control strategy.
关键词： maximum power point tracking (MPPT),PV array,photovoltaic power generation,dual active bridge (DAB)
更新于2025-09-11 14:15:04
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[IEEE 2019 54th International Universities Power Engineering Conference (UPEC) - Bucharest, Romania (2019.9.3-2019.9.6)] 2019 54th International Universities Power Engineering Conference (UPEC) - Design of an intelligent MPPT based on ANN using a real photovoltaic system data
摘要： Maximum power point tracking (MPPT) methods are a fundamental part in photovoltaic (PV) system design for increasing the generated power of a PV array. Whilst several methods have been introduced, the artificial neural network (ANN) is an attractive method for MPPT due to its less oscillation and fast response. However, accurate training data is a big challenge to design an optimized ANN-MPPT technique. In this paper, an ANN-MPPT technique based on a large experimental training data is proposed to avoid the system from having a high training error. Those data are collected during one year from experimental tests of a PV system installed at Brunel University, London, United Kingdom. The irradiation and temperature of weather conditions are selected as the input, and the available power at MPP from the PV system as the output of the ANN model. To assess the performance, the Perturb and Observe (P&O) and the proposed ANN-MPPT methods are simulated using a MATLAB/Simulink model for the PV system. The results show that the proposed ANN method accurately tracks the optimal maximum power point and avoids the phenomenon of drift problem, whilst achieving a higher output power when compared with P&O-MPPT method.
关键词： photovoltaic (PV),Perturb and Observe (P&O),Artificial Neural Network (ANN),Maximum power point tracking (MPPT)
更新于2025-09-11 14:15:04
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[IEEE 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Kottayam, India (2018.12.21-2018.12.22)] 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Performance Analysis of Solar Photovoltaic System with Fuzzy Based Variable Step Size MPPT Algorithm Using Matlab /Simulink
摘要： In the recent decades, Photovoltaic (PV) power generation has become one of the primary power source due to the advantages such as less maintenance and environmental benefits. Moreover, the generation source is ultimately free and abundant. However, the major barriers related to PV power generation are low power conversion efficiency, high cost of PV modules and nonlinearity in output power. Because of low power conversion efficiency, PV systems should work always at its Maximum Power Point (MPP). A power conditioning unit with Maximum Power Point Tracking (MPPT) technique is employed in the PV systems to harvest maximum power. The main function of MPPT is to detect the MPP for the given conditions and operate the system at that point. In this paper Fuzzy Logic Controller (FLC) based variable step size MPPT for a standalone solar PV system is presented. Solar PV system with Fuzzy based MPPT controller in Matlab /Simulink. The performance of proposed variable step size fuzzy MPPT algorithm is studied for different input conditions and analyzed in terms of performance parameters such as tracking speed, steady state oscillations, response under variations in irradiance and temparature, average output power and output power ripple. The results are compared with Variable Step Size Incremental Conductance (VSS InC) MPPT algorithm and conventional InC based PV system.
关键词： Solar Photovoltaic (SPV),Fuzzy Logic Control (FLC),MATLAB/Simulink,Simulation,Variable Step Size Incremental Conductance (VSS InC),Maximum Power Point Tracking (MPPT)
更新于2025-09-11 14:15:04
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Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning
摘要： The maximum power point tracking (MPPT) technique is often used in photovoltaic (PV) systems to extract the maximum power in various environmental conditions. The perturbation and observation (P&O) method is one of the most well-known MPPT methods; however, it may face problems of large oscillations around maximum power point (MPP) or low-tracking efficiency. In this paper, two reinforcement learning-based maximum power point tracking (RL MPPT) methods are proposed by the use of the Q-learning algorithm. One constructs the Q-table and the other adopts the Q-network. These two proposed methods do not require the information of an actual PV module in advance and can track the MPP through offline training in two phases, the learning phase and the tracking phase. From the experimental results, both the reinforcement learning-based Q-table maximum power point tracking (RL-QT MPPT) and the reinforcement learning-based Q-network maximum power point tracking (RL-QN MPPT) methods have smaller ripples and faster tracking speeds when compared with the P&O method. In addition, for these two proposed methods, the RL-QT MPPT method performs with smaller oscillation and the RL-QN MPPT method achieves higher average power.
关键词： photovoltaic (PV) system,Q-learning,reinforcement learning,maximum power point tracking (MPPT),Q-network
更新于2025-09-11 14:15:04
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[IEEE 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - Istanbul, Turkey (2019.3.21-2019.3.24)] 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - MPPT Control Strategies for Photovoltaic Applications: Algorithms and Comparative Analysis
摘要： In this paper, five Maximum Power Point Tracking algorithms for PV system are presented, simulated and discussed. Solar Photovoltaic energy has become a popular device of the renewable energies. The power-voltage (P-V) characteristic of PV cells is naturally nonlinear dependent of insolation and temperature degrees. Accordingly, the maximum power point change with the atmospheric conditions. In order to ameliorate the overall efficiency, a control technique for the duty cycle of the DC/DC power converter is required. The aim of this paper is to present a thorough assessment of various MPPT techniques. Five different methods are discussed which are: the Perturbation-Observation (P&O) method, the Incremental Conductance (INC) method, the Fuzzy Logic Control (FLC), the Neural Network control (NNC) and the Sliding mode control (SMC). These algorithms are modeled and simulated with a specific PV chain consisting of a 50W PV panel and a Boost converter in order to evaluate their performances.
关键词： Neural Network Control (NNC),Simulation,Maximum Power Point Tracking (MPPT),Incremental Conductance (INC),DC/DC converter,Fuzzy Logic Control (FLC),Sliding Mode Control (SMC),Perturbation-Observation (P&O),Modeling
更新于2025-09-11 14:15:04
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Developed and STM implementation of modified P&O MPPT technique for a PV system over sun
摘要： The non-linearity of photovoltaic systems and the change in maximum power point with a level of insolation and temperature complicates the tracking of the maximum power point. Several maximum power point tracker methods have been proposed and implemented in literature. The paper studies a modified perturb and observe (P&O) approach for a photovoltaic system in order to extract the maximum power point with more precision, fast speed and avoid the problems caused by the classic P&O method under the change of climatic conditions. This work is tested with a resistive load powered by a photovoltaic generator via a DC/DC converter. These methods are implemented with STM32F4 microcontroller running environment MATLAB/SIMULINK, using a computer incorporating a card DS1104 for visualization. The simulations and experimental results show that the proposed algorithm offers a fast response with smaller stationary oscillations compared to conventional methods.
关键词： photovoltaic generator (PVG),perturb and observe (P&O),maximum power point (MPP),Modified perturb and observe (MP&O),Maximum Power Point Tracking (MPPT)
更新于2025-09-10 09:29:36
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[IEEE 2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom (2018.9.4-2018.9.7)] 2018 53rd International Universities Power Engineering Conference (UPEC) - A Modified P&O-MPPT based on Pythagorean Theorem and CV-MPPT for PV Systems
摘要： Maximum power point tracking MPPT techniques are a crucial part in photovoltaic PV system design to maximise the output power of a PV array which depends on weather conditions. Although several techniques have been developed, Perturb and Observe P&O is widely used for MPPT due to its low cost and simple implementation. However, the main drawbacks of this method are a low converging time, high oscillation around the maximum power point, and drift problem associated with changing irradiance rapidly. In this paper, a modified P&O-MPPT based on Pythagorean theorem and constant voltage CV-MPPT is presented. To assess this modification, conventional and modified P&O methods are simulated by a MATLAB-SIMULINK. Simulation results demonstrate that the modified P&O-MPTT has a highly effective to solve the problem of conventional P&O-MPPT.
关键词： Perturb and Observe (P&O),constant voltage (CV),variable step size (VSS),photovoltaic (PV),Maximum power point tracking (MPPT),Power-Voltage curve
更新于2025-09-10 09:29:36
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[IEEE 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - Coimbatore, India (2017.12.14-2017.12.16)] 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - MATLAB / SIMULINK Simulation of PV System Based on MPPT in Variable Irradiance with EV Battery as Load
摘要： The PV panels have become a ubiquitous renewable resource as it produces clean energy and needs less maintenance. However, in changing environmental conditions less power output is generated. The operating point shifts from the maximum power point (MPP) to some other point. The MPP Tracking (MPPT) controller is designed for the panels to track the changing irradiance and maintain operating point at MPP. The MPPT controller uses an algorithm which generates a dynamic duty ratio for the dc-dc converter. MATLAB simulation of the MPPT PV system using perturb and observe (P&O) algorithm is shown in this paper. In the simulation model, irradiance changes are considered while the temperature remains unchanged. A comparison between non-MPPT and MPPT output is analysed. The result verifies that MPPT algorithm boosts the efficiency of the system in changing climatic conditions and performs better than the non-MPPT system.
关键词： dc-dc Converter,Perturb and Observe (P&O) algorithm,Photovoltaic (PV) Cells,Maximum Power Point Tracking (MPPT)
更新于2025-09-10 09:29:36
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A Multifunctional Single Phase Grid Integrated Residential Solar PV Systems based on LQR Control
摘要： This paper presents a multifunctional single-stage residential photovoltaic power supply based on Linear Quadratic Regulator. The system makes use of a single phase power converter connected to the grid through an LCL filter. A robust LQRI controller is designed to incorporate added functions such as power line conditioner, active power regulator, and voltage stabilizer. The perturb and observe (P&O) algorithm is used to generate the reference signal for the fluctuating DC bus voltage as well as to extract the maximum power from the solar panels. Full modeling of the converter in the D-Q reference frame is presented. A Linear Quadratic Regulator with added Integral action (LQRI) is designed to achieve optimal multi-functionality operation of the residential power supply. Simulation and experimental results confirm the expected performance of the proposed controller for insolation and load variations.
关键词： Maximum power point tracking (MPPT),D-Q model,LCL filter,Perturb and observe (P&O),LQRI controller,single phase,Solar PV system
更新于2025-09-10 09:29:36
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[IEEE 2018 International CET Conference on Control, Communication, and Computing (IC4) - Thiruvananthapuram (2018.7.5-2018.7.7)] 2018 International CET Conference on Control, Communication, and Computing (IC4) - Comparative Study of Adaptive Single Sensor Based MPPT for PV Applications with Conventional Algorithms
摘要： Photovoltaic (PV) Systems are becoming vital for the existence of mankind nowadays. From bulk power generation to space exploration applications, PV systems finds an important role. To extract power from PV device it has to be operated at its Maximum Power Point(MPP) for which different MPPT algorithms are used. On a relative study of these different MPPT algorithms it is found that most of them suffers from certain problems such as highly oscillatory response and slow tracking time. Most of these algorithms uses both current and voltage sensors, this adds to the issue of reliability of such MPPTs. Here in this study, a Single voltage sensor based Adaptive MPPT is using different MPPT compared with MATLAB/SIMULINK simulations.
关键词： MATLAB/Simulink,Adaptive Voltage Sensor based MPPT,Maximum Power Point Tracking (MPPT),Solar power,Single Ended Primary Inductance Converter (SEPIC)
更新于2025-09-04 15:30:14