- 标题
- 摘要
- 关键词
- 实验方案
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[IEEE 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - Delhi, India (2018.10.22-2018.10.24)] 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) - A Modified Perturb & Observe Algorithm For Maximum Power Point Tracking With Zero Voltage Switching Buck Boost Converter in Photovoltaic System
摘要： The conventional perturb and observe algorithm used for maximum power point tracking of PV system suffers from major drawbacks such as steady state oscillation around final maximum power point and loss of tracking direction i.e. divergence from actual maximum power point for rapid change in insolation. Both these problems result in significant power loss as the PV system operating point is getting diverted from actual maximum power point. As Buck-Boost converter plays an important role while changing the operating point of PV panel, it contributes to significant amount of power loss in the form of switching loss, conduction loss etc. This paper proposes a method to avoid the above given shortcomings of perturb & observe algorithm. Major focus is given on the designing of Buck-Boost converter as to date nobody has taken into consideration the losses occurring in the converter even though converter forms an integral part of the MPPT set up. The losses occurring in the conventional buck boost converter have been computed and its effect on the efficiency of MPPT system is investigated. The soft-switched buck boost converter for PV applications is designed so as to minimize the losses taking place in converter.
关键词： Buck-boost converter,Perturb and observe (P&O),Photo voltaic (PV),Soft switching,Zero voltage switching (ZVS)
更新于2025-09-16 10:30:52
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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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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 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 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 2018 International Seminar on Application for Technology of Information and Communication (iSemantic) - Semarang, Indonesia (2018.9.21-2018.9.22)] 2018 International Seminar on Application for Technology of Information and Communication - Comparison of First Order Differential Algorithm, Perturb and Observe (P&O) and Newton Raphson Methods for PV Application in DC Microgrid Isolated System
摘要： The necessary for energy always increases every year, so it is necessary energy alternative to overcome the phenomenon. From some alternative energy that is currently widely developed is solar energy. Unfortunately the use of solar energy with the help of solar panels produces power that varies according to the irradiation received and the temperature on the solar panel. Irradiation is the emission of energy coming from the sun. This parameter causes the output power characteristic curve to be non-linear. And the power generated by PV has not reached the maximum power point. To overcome this problem requires an arrangement to find the maximum power point and make it stable at that point. Therefore, this paper proposes "Comparison of First Order Differential Algorithms, Perturb and Observe(P&O) and Newton Raphson Methods for PV Application in DC Microgrid Isolated System" so that the maximum power point can be achieved quickly and accurately. In this paper we tried to compare 3 methods of First-order Differential, P & O (Perturb and Observe) and Newton Raphson by using ZETA Converter as its object in switching settings. By using the simulation can be obtained the results of tracking speed and maximum power level. The results of the simulation show that error power the First-order Differential is 4%, P & O is 0.26389% and Newton Raphson is 0.45178%. It is evident that Raphson's newton algorithm is superior to speed and accuracy.
关键词： Solar Panel,First-Order Differential,Maximum Power Point Tracking (MPPT),Newton Raphson Method,Perturb and Observe (P&O)
更新于2025-09-04 15:30:14