- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Design of Soft Switching Interleaved Boost Converter for Photovoltaic Application
摘要： The objective of our study is to reduce the size of passive components and reduction of ripple in output voltage and input current by using interleaved soft switching dc-dc converter (interleaving action). The PV system converts solar energy into electrical energy but its output varies with variation of solar radiation and temperature. To provide impedance matching between PV and load a dc-dc converter with MPPT technique is used in PV (Photo Voltaic) Systems. This study incorporates design of the interleaved soft switching dc-dc converter for PV System by using P&O (Perturb and Observe) fuzzy logic controller. The P&O Fuzzy MPPT provides an accurate and fast converging under varying illumination and load conditions compared to conventional MPPT methods. The performance of the system is first analyzed by simulation using Matlab/Simulink software. The results of simulation were compared and analyzed.
关键词： photovoltaic system,perturb and observe,Maximum Power Point Tracking (MPPT),Fuzzy Logic Controller (FLC)
更新于2025-09-16 10:30:52
-
[IEEE 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) - Tamilnadu, India (2019.4.11-2019.4.13)] 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) - Implementation of Particle Swarm Optimization for Maximum Power Absorption From Photovoltaic System Using Energy Extraction Circuit
摘要： The focus of this paper, improvements in universal rules have seen the thrust for larger use of non-conventional energy sector. To absorb the maximum power output from the solar photovoltaic (PV) panel, Particle Swarm Optimization (PSO) based Maximum Power Point tracking (MPPT) control algorithm is suggested. At a specific operating point, PV panel can harvest maximum power called Maximum Power Point (MPP) in which the solar PV panel must operate at this MPP to give maximum efficiency. In this paper, the capability of the PV panel to track the MPP using PSO under great variation of insolation has been modelled and analyzed in MATLAB/SIMULINK.
关键词： Photovoltaic (PV) panel,Particle Swarm Optimization (PSO),Maximum Power Point tracking (MPPT)
更新于2025-09-16 10:30:52
-
Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation
摘要： Smart grids are considered as key solutions to solve current power security issues. Among these suggestions, microgrid is proposed to integrate distributed generations (DGs) such as photovoltaic (PV) system into the network and the control of DGs output power is getting more attention. The output power of PV arrays with nonlinear characteristics is affected by temperature, solar irradiation and load. Various maximum power point tracking (MPPT) methods for photovoltaic (PV) power systems have been considered and developed to maximize the delivered possible power. In this paper, a modelized photovoltaic source is introduced, based on the Thevenin equivalent circuit. An ordinarily employed solar system model is linearized into simple Thevenin source-resistance representation. Next, a control algorithm associated with the relationship between controller’s PWM duty cycle of the MPPT boost converter and solar array output power, namely proposed MPPT algorithm, is introduced. This proposed method is compared with an existing popular MPPT algorithm to confirm its superior performance by using the MATLAB/SIMULINK? simulation. The results show an improvement in the power generation from a PV array in any weather condition, and also help to reduce the impact of rapid change of solar irradiation on the output power variation within the time duration of change. Therefore, the proposed algorithm reduces the effect on grid frequency and motivate the PV generation penetration into the microgrids. Finally, a 50W DC-DC boost converter prototype is implemented and tested to verify the feasibility of the proposed control scheme.
关键词： photovoltaic (PV),renewable energy source,perturbation and observation method (P&O),thevenin equivalent circuit,maximum power point tracking (MPPT)
更新于2025-09-16 10:30:52
-
[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
-
[IEEE 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Interharmonics Reduction in Photovoltaic Systems with Random Sampling MPPT Technique
摘要： An increasing penetration level of grid-connected Photovoltaic (PV) systems raises a concern regarding power quality problem, in particularly, interharmonics. According to previous research, the perturbation from the Maximum Power Point Tracking (MPPT) algorithm is one of the main root-cause of interharmonic emission in PV systems. In general, the interharmonic characteristics are strongly dependent on the sampling rate of the MPPT algorithm. A slow sampling rate of the MPPT algorithm can minimize the interharmonic emission but it results in poor tracking performance of the MPPT algorithm. Thus, there is a trade-off between the interharmonic emission and the MPPT efficiency when selecting the MPPT sampling rate. To overcome this problem, a new MPPT technique implemented with a random sampling rate is proposed in this paper. The proposed method randomly selects the MPPT algorithm sampling rate during each perturbation. This method is simple to be implemented but results in a significant reduction in the interharmonics of the output current and, at the same time, a high MPPT efficiency. The effectiveness of the proposed method has been validated experimentally with a single-phase grid-connected PV system. Moreover, the effect of interharmonic cancellation when implementing the proposed random sampling MPPT technique with parallel-connected PV inverters has also been demonstrated.
关键词： inverters,interharmonics,maximum power point tracking (MPPT),power quality,Photovoltaic (PV) systems
更新于2025-09-12 10:27:22
-
[IEEE 2019 International Conference on Clean Electrical Power (ICCEP) - Otranto, Italy (2019.7.2-2019.7.4)] 2019 International Conference on Clean Electrical Power (ICCEP) - Comparative Analysis of Partial Shading Power Losses in Photovoltaic Topologies
摘要： The productivity of photovoltaic (PV) system is highly affected by the environmental conditions. The impact of partial shading conditions (PSC) on PV systems with various topologies is not necessarily the same. It is essential to demonstrate the role of PV topology in alleviating partial shading power losses. This paper presents a thorough comparative analysis of power losses incurred under partial shading conditions over different reported PV topologies. Power losses are analyzed for equally-rated PV systems subject to the same environmental conditions to highlight the privilege of some topologies over others. Power losses analysis is carried out based on the level of maximum power point tracking (MPPT).
关键词： partial shading conditions (PSC),power losses,photovoltaic (PV) system,maximum power point tracking (MPPT),PV topologies
更新于2025-09-12 10:27:22
-
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
-
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
-
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
-
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