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Annual performance analysis of different maximum power point tracking techniques used in photovoltaic systems
摘要： This paper presents an annual performance evaluation of three maximum power point tracking (MPPT) methods. The used MPPT techniques (Perturb and Observe, Incremental Inductance and Sliding mode) are evaluated under an annual data of atmospheric conditions of the target site. The main contribution of this work is to consider real fluctuation conditions of solar irradiations, ambient temperatures and wind velocities. It was found that the Sliding mode provides higher energy yields independently of the period. Compared to the basic P&O and the IC techniques, sliding mode has the potential of generating up to 8.18% more electrical energy than other techniques.
关键词： Annual performance,Photovoltaic systems,Maximum power point tracking (MPPT)
更新于2025-09-12 10:27:22
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Recent Developments in Photovoltaic Materials and Devices || A Quick Maximum Power Point Tracking Method Using an Embedded Learning Algorithm for Photovoltaics on Roads
摘要： This chapter presents a new approach to realize quick maximum power point tracking (MPPT) for photovoltaics (PVs) bedded on roads. The MPPT device for the road photovoltaics needs to support quick response to the shadow flickers caused by moving objects. Our proposed MPPT device is a microconverter connected to a short PV string. For real-world usage, several sets of PV string connected to the proposed microconverter will be connected in parallel. Each converter uses an embedded learning algorithm inspired by the insect brain to learn the MPPs of a single PV string. Therefore, the MPPT device tracks MPP via the perturbation and observation method in normal circumstances and the learning machine learns the relationships between the acquired MPP and the temperature and magnitude of the Sun irradiation. Consequently, if the magnitude of the Sun beam incident on the PV panel changes quickly, the learning machine yields the predicted MPP to control a chopper circuit. The simulation results suggested that the proposed MPPT method can realize quick MPPT.
关键词： microconverter,maximum power point tracking (MPPT),incremental learning,modal regression on a fixed memory budget,photovoltaics bedded on road,insect brain,shadow flicker,embedded learning algorithm,partial shading
更新于2025-09-12 10:27:22
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Advances in reduction of total harmonic distortion in solar photovoltaic systems: A literature review
摘要： The use of photovoltaic (PV) systems has increased in recent years due to the high demand for clean energy sources. PV systems can utilize abundant and free energy from the sun, which is a substantial advantage. However, compared with other renewable technologies, the PV system still faces major obstacles such as high cost and low efficiency. In addition, fluctuating incident energy from the sun creates harmonics in the generated power that might lead to undesirable system performance. Total harmonic distortion (THD) is the ratio of distorted power to the main power of the signal, and is most commonly used to indicate the amount of signal distortion. THD has become a serious concern as more PV systems are integrated into grid systems. Previous research and reviews have attempted to reduce THD and its effect, but unfortunately focused on reducing THD at individual parts of the PV system. For the first time, this study holistically and systematically reviews the advances in THD reduction techniques for the entire PV system. The causes of harmonics, current solutions, and research gaps for further investigation are described in detail. Moreover, the current THD reduction techniques used in each stage of the PV system are compared, including their main benefits and drawbacks. Finally, this study recommends the use of adaptive filters as a possible solution for THD reduction because these filters have effectively reduced noise and disturbance in other systems.
关键词： THD reduction,DC-DC converter,harmonics,THD,photovoltaic,inverters,PV,adaptive filters,renewable energy,MPPT
更新于2025-09-12 10:27:22
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[IEEE 2019 International Conference on Smart Energy Systems and Technologies (SEST) - Porto, Portugal (2019.9.9-2019.9.11)] 2019 International Conference on Smart Energy Systems and Technologies (SEST) - Comparison of Swarm Optimization Methods for MPPT in Partially Shaded Photovoltaic Systems
摘要： The use of solar energy for electricity grows mainly due to environmental issues. However, several challenges arise for researchers, such as improving the efficiency of photovoltaic systems in shading situations. In this opportunity, several algorithms attempt to search for the point of maximum power in a photovoltaic system, among them the artificial intelligence algorithms. Thus, this paper investigates the use of artificial intelligence in maximum power tracking techniques for partially shaded systems. A review of different methods is done and performed simulations. As a highlight, the particle swarm optimization was the fastest algorithm and the most accurate was artificial bee colony. Therefore, the tested algorithms obtained good efficiency, being the role of the designer to choose the most suitable for each system.
关键词： MPPT,Photovoltaic,Photovoltaic systems,Artificial intelligence,Shading
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Particle Swarm Optimization of the GMPPT of Photovoltaic Energy Generation under Different Partial Shadding Conditions
摘要： The performance of a photovoltaic (PV) generation system (PGS) is directly associated with the irradiation incidence over the PV panel and the maximum energy will be delivered only for full panel illumination. However, when the PV panel (or strings of panels) operates under a partial shadowing condition (PSC), only a percentage of the maximum power will be delivered. This power can be even lower without a proper configuration of the conversion system. Therefore, we propose a partile swarm optimization (PSO) of the conversion system which improves the Maximum Power Point Tracking (MPPT) and ensures that the maximum power will be delivered despite of the partial shadowing condition.
关键词： Maximum Power Point Tracking (MPPT),Global Maximum Power Point (GMPP),PSO algorithm,photovoltaic system
更新于2025-09-12 10:27:22
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[IEEE 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Xi'an, China (2019.6.19-2019.6.21)] 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Research on the control of three-level photovoltaic grid-connected inverter based on NPC
摘要： For the two stage neutral point clamped three level photovoltaic inverter generation system, the output features of solar cells are analyzed, and the SVPWM control scheme under the 60 DEG coordinate system is analyzed and selected. The control strategy and photovoltaic cell MPPT are simulated using Matlab/Simulink, show the good effect of the control system. Build the experimental hardware platform of DSP+FPGA based on double CPU, the system has a good tracking performance of the power grid voltage, and the system has a fast dynamic response, the output-current sine degree, low total harmonic distortion and realize the unit power factor operation.
关键词： Photovoltaic array,MPPT strategy,Three-level inverter,SVPWM
更新于2025-09-11 14:15:04
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A Lipschitz Optimization Based MPPT Algorithm for Photovoltaic System under Partial Shading Condition
摘要： The power–voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power point tracking (MPPT) algorithms can not guarantee the maximum power output of the PV array. In this study, a novel Lipschitz optimization (LIPO) MPPT algorithm, which is effective under PSCs, is proposed and analyzed. Its tracking speed is very fast and tracking efficiency is above 98%. The characteristics of a PV array under PSCs are first analyzed and then the working principle of the proposed LIPO MPPT algorithm is explained. In order to validate the performance of the proposed algorithm, two popular MPPT algorithms, i.e., the modified particle swarm optimization (M-PSO) algorithm and the modified firefly optimization (M-firefly) algorithm, are chosen to compare with it. All three algorithms are fulfilled and compared with each other through both simulations and experiments and the results show that the proposed MPPT algorithm has good performance.
关键词： Global maximum power point (GMPP),maximum power point tracking (MPPT),Lipschitz optimization (LIPO),partially shaded condition (PSC)
更新于2025-09-11 14:15:04
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Improved Restricted Control Set Model Predictive Control (iRCS-MPC) Based Maximum Power Point Tracking of Photovoltaic Module
摘要： This paper presents a robust two stage maximum power point tracking (MPPT) system of the photovoltaic (PV) module using an improved restricted control set model predictive control (iRCS-MPC) technique. The suggested work is improved in two aspects; a revision in conventional P&O algorithm is made by employing three distinct step sizes for different conditions, and an improvement in conventional MPC algorithm. The improved MPC algorithm is based on the single step prediction horizon that provides less computational load and swift tracking of maximum power point (MPP) by applying the control pulses directly to the converter switch. The computer aided experimental results for various environmental scenarios revealed that compared with the conventional method (conventional P&O + MPC), for the PV power and inductor current, the undershoot and overshoot is decreased to 68% and 35% respectively under stiff environmental conditions. In addition, the settling time needed to reach a stable state is significantly reduced in the proposed system. The viability of the solution suggested is verified in MATLAB/Simulink and by hardware experimentation.
关键词： maximum power point tracking (MPPT),photovoltaic systems,MPC,Boost converter,dc-dc power conversion,model predictive control (RCS-MPC)
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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Study on Shunt Active Power Filter Control Strategies of Three-phase Grid-connected Photovoltaic Systems
摘要： This paper deals with the improvement of the energy quality using shunt active power filter. The three-phase grid-connected photovoltaic generator consists in solar panels, a three-phase voltage inverter connected to the grid and a nonlinear load constituted by a diode rectifier bridge supplying a resistive load in series with an inductor. In so doing, three main challenges arise from the application context. First, the harmonic currents and the reactive power must be compensated. The second challenge is the injection of active solar energy into the grid. Third, Maximum Power Point Tracking (MPPT) must be found. This paper proposes a method addressing those challenges. For the first and the second one, direct current and power controls is used. For the third challenge, an algorithm is proposed which take in account the electrical variables and the variation of the solar irradiation. Simulation results of the proposed method are shown. The method is illustrated with two different strategies: Hysteresis Control and Direct Power Control (DPC) for a variable load. Obtained results are presented and compared in this paper to confirm the robustness and the superiority of DPC strategy compared to Hysteresis Control strategy. In the same context, the simulation carried out in this article shows promising results with THD approximates 1.33 %.
关键词： photovoltaic system,MPPT,Direct Power Control,energy quality,Hysteresis Control
更新于2025-09-11 14:15:04