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- 摘要
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- 实验方案
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A novel Lyapunov stable higher order B-spline online adaptive control paradigm of photovoltaic systems
摘要： In this paper, research on the control of photovoltaic (PV) using a novel higher order B-spline online adaptive neuro-fuzzy paradigm considering high external uncertainties in weather and load demand is presented. We optimize the existing neuro-fuzzy technique by incorporating third order B-spline membership functions in its antecedent part, which we solve using an on-line learning gradient-decent back propagation method. We fit the system parameters online through adaptive fuzzy rules extracted from the maximum power point tracking (MPPT) error and its derivative. Unlike many existing neuro-fuzzy techniques, our method addresses the trapping in local minima. The proposed controller is demonstrated to be stable using Lyapunov stability analysis. The performance of our control philosophy is checked in terms of output power tracking, efficiency, and MPPT error. Finally, we validate via simulation the high robustness and the self-adaptation ability of the proposed method over other existing traditional and intelligent techniques.
关键词： B-spline membership functions,Photovoltaic systems,Maximum power point tracking,Adaptive neuro-fuzzy control,Lyapunov stability
更新于2025-09-16 10:30:52
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A MPPT Method based on Improved Fibonacci Search Photovoltaic Array
摘要： The P-U curve of photovoltaic arrays (PVAs) has multi-peak characteristics under uneven illumination environments, and the maximum power point tracking (MPPT) strategy for the single peak may fail. An improved Fibonacci search algorithm is proposed to carry out MPPT of photovoltaic arrays under uniform illumination or light mutation. A multiple-interval search algorithm based on a circuit analysis method is presented for different topology arrays and illumination distributions. The series array analysis adopts the current analysis method, the parallel array analysis adopts the voltage analysis method, and the series and parallel array analysis adopts the current and voltage analysis method; then, the output control volume is determined, and the search interval is divided. The search steps in the Fibonacci method and the real-time changes of parameters in the optimization process can be observed by MATLAB simulation. Experimental results show that the algorithm uses less computation time and small area search instead of global search.
关键词： Fibonacci search,MATLAB simulation,photovoltaic array,circuit analysis method,maximum power point tracking
更新于2025-09-16 10:30:52
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[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
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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
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[IEEE 2019 4th World Conference on Complex Systems (WCCS) - Ouarzazate, Morocco (2019.4.22-2019.4.25)] 2019 4th World Conference on Complex Systems (WCCS) - A Comparative Study of Photovoltaic Array Configurations effect on the Output Power under Partial Shading Conditions
摘要： In the case of uniform conditions of temperature and radiation, the Power-Voltage characteristic of photovoltaic fields presents a Global Maximum Power Point (GMPP). In the case of non-uniform conditions, the Power-voltage characteristic has several Local Maximum Power Points (LMPPs), which can mislead conventional Maximum Power Point Tracking (MPPT) algorithms. The main objective of this study is to analyze the effect of partial shading on the output power by altering the adopted configuration of the photovoltaic PV array. The performance evaluation of each configuration is carried out by considering the Maximum Power Points (MPPs) generated, mismatching losses due to Partial Shading Conditions (PSCs), Open Circuit (OC) and Short Circuit (SC) conditions and the Fill Factor (FF). Photovoltaic field simulation is performed on Matlab / Simulink using a (5 * 3) configuration of photovoltaic panels.
关键词： Partial Shading Conditions,Maximum Power Point,Maximum Power Point Tracking,Photovoltaic Array Configuration
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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Fixed- and variable-frequency sliding mode controller–maximum power point tracking converter for two-stage grid-integrated photovoltaic system employing nonlinear loads with power quality improvement features
摘要： This article presents a reliable and efficient photovoltaic sliding mode voltage-controlled maximum power point tracking DC-DC converter–active power filter integration system to supply real power to grid. This integrated active power filter system performs power quality enhancement features to compensate current harmonics to make distortion-free grid supply current and reactive power employing nonlinear loads. The proposed proportional–integral–derivative–based sliding mode controller is designed with fixed-frequency pulse-width modulation based on equivalent control approach. The main objective of this paper is to design a photovoltaic system with a new sliding surface to force the photovoltaic voltage to follow the reference maximum power point voltage with the alleviation of slow transient response and disadvantages of chattering effects of variable-frequency hysteresis modulation sliding mode controller–maximum power point tracking. The perturbations caused by the uncertainties in climatic conditions and converter output bulk oscillations during grid integration are also mitigated. The features of the proposed photovoltaic–active power filter integration system are confirmed at different operating conditions through PSIM simulation software, and its performance is also compared with a conventional variable-frequency sliding mode-controlled maximum power point tracking. The obtained simulation and experimental results give good dynamic response under various operating conditions of environmental and local load conditions.
关键词： sliding mode controller,pulse-width modulation,photovoltaic,power quality,active power filter,Maximum power point tracking,high step-up DC-DC converter
更新于2025-09-12 10:27:22
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[IEEE 2019 Chinese Control And Decision Conference (CCDC) - Nanchang, China (2019.6.3-2019.6.5)] 2019 Chinese Control And Decision Conference (CCDC) - Tracking the Maximum Power Point of Photovoltaic Power Generation Based on Self-coding Neural Network
摘要： The current and voltage of photovoltaic power generation system constantly are changed by the external temperature and radiation, which can lead to the constant change in the maximum power point of photovoltaic power generation. To resolve this problem, we propose a novel method based on the self-encoding neural network technology which is applied to the maximum power point tracking of photovoltaic power generation. The method is based on the deep learning network training of stacking encoders and fine-tuning the self-coding neural network which utilizes the reverse propagation method with supervised learning. Finally the model analysis of photovoltaic power generation system is carried out by MATLAB/simulink environment. The results show that this method can track the maximum power point of photovoltaic power more quickly and accurately than the conventional conductance increment method and improve the efficiency of photovoltaic power generation.
关键词： Photovoltaic Power Generation,Maximum Power Point Tracking,Self-encoding Neural Network
更新于2025-09-12 10:27:22
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[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
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[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