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- 2019
- composite electrode
- silver nanowire
- reduced graphene oxide
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- Optoelectronic Information Materials and Devices
- China Jiliang University
- Guangdong Poly-Optoelectronics Co.
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Modified variable step incremental-conductance MPPT technique for photovoltaic system
摘要： Maximum power point (MPP) Tracking, which is usually referred as MPPT, is a setup that forces the photovoltaic (PV) module to operate in such a way that the PV module will yield the maximum power, which in turn depend upon the solar illumination and surrounding temperature. Amidst all the MPPT designs, perturb & observe and incremental conductance (INC) algorithms are mostly selected due to easy implementation and good tracking credibility. The conventional MPPTs based on fixed step size give less power output and at every step tracking is required for new location due to random variation is a tedious job. In this paper the variable step size INC-MPPT technique is proposed which automatically tracks the next step size to maximize the power output. The comprehensive comparison is presented using MATLAB/SIMULINK between conventional and improved MPPT.
关键词： Maximum power point tracking (MPPT),Variable step size INC,Maximum power point (MPP),Photovoltaic (PV),Incremental-conductance (INC)
更新于2025-09-23 15:19:57
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Maximum power point tracking in photovoltaic systems under different operational conditions by using ZA-INC algorithm
摘要： Today, environmental pollution has increased due to excess use of fossil resources. Amidst, renewable energy resources, solar energy is one of the infinite, clean and accessible options. Each solar cell has a unique operating point which is called maximum power point. Considering nonlinearity of I–V and P–V curves of Photovoltaic (PV) resources, their delivered power depends on operating point of the PV. That is, for changes in temperature or irradiation, some actions should be taken to obtain maximum operating point which is called maximum power point tracking (MPPT). This paper tries to configure power circuit using distributed maximum power point tracking (DMPPT) with a fly-back converter, optimize power and reduce fluctuations around maximum power point. MPPT is analyzed through simulation using P&O, INC and zero fluctuation, adaptive step, increasing (ZA-INC) guidance algorithms in two steps including variable irradiation with constant temperature and variable temperature with constant irradiation using DMPPT and centralized MPPT. In DMPPT scheme using ZA-INC algorithm, power is optimized, losses are reduced, fluctuations around maximum power point are reduced, gain and tracking speed are increased.
关键词： MPPT,Weather conditions,Photovoltaic,ZA-INC algorithm,Flyback converter
更新于2025-09-12 10:27:22
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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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Advanced MPPT Algorithm for Distributed Photovoltaic Systems
摘要： The basic and adaptive maximum power point tracking algorithms have been studied for distributed photovoltaic systems to maximize the energy production of a photovoltaic (PV) module. However, the basic maximum power point tracking algorithms using a fixed step size, such as perturb and observe and incremental conductance, suffer from a trade-off between tracking accuracy and tracking speed. Although the adaptive maximum power point tracking algorithms using a variable step size improve the maximum power point tracking efficiency and dynamic response of the basic algorithms, these algorithms still have the oscillations at the maximum power point, because the variable step size is sensitive to external factors. Therefore, this paper proposes an enhanced maximum power point tracking algorithm that can have fast dynamic response, low oscillations, and high maximum power point tracking efficiency. To achieve these advantages, the proposed maximum power point tracking algorithm uses two methods that can apply the optimal step size to each operating range. In the operating range near the maximum power point, a small fixed step size is used to minimize the oscillations at the maximum power point. In contrast, in the operating range far from the maximum power point, a variable step size proportional to the slope of the power-voltage curve of PV module is used to achieve fast tracking speed under dynamic weather conditions. As a result, the proposed algorithm can achieve higher maximum power point tracking efficiency, faster dynamic response, and lower oscillations than the basic and adaptive algorithms. The theoretical analysis and performance of the proposed algorithm were verified by experimental results. In addition, the comparative experimental results of the proposed algorithm with the other maximum power point tracking algorithms show the superiority of the proposed algorithm.
关键词： DC–DC converter,INC,DMPPT,PV system,P&O,adaptive
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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[IEEE 2018 International conference on computation of power, energy, Information and Communication (ICCPEIC) - Chennai, India (2018.3.28-2018.3.29)] 2018 Internat2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)ional conference on computation of power, energy, Information and Communication (ICCPEIC) - Solar PV Array Based Water Pumping by Using Srm Drive: A Review
摘要： This paper is a review on 4 phase 8/6 switched reluctance motor (S RM) powered by solar PV array using the buck-boost dc-dc con verter. The water pumping system is operating S RM. The main objective of this paper is to regulate the speed of S RM dri ve to pump the water through the DC link voltage of a mid-point converter. The split capacitor con verter for S RM dri ve called as mid-point converter is electronically commutated is inexpensive, reliable and efficient than conventional DC and AC electrical machines used in this application, because of its simple construction. The losses in mid-point converter can be reduced by using S RM drive at its fundamental frequency and also the efficiency of the proposed system can be increased. The DC-DC buck-boost con verter is working in continuous conduction mode (CCM). The CCM operation decreases the losses of DC-DC converter. The soft starting of 4 phase 8/6 S RM drive is also achieved through proper selection of step-size in incremental conductance (InC) algorithm method of maximum power point tracking (MPPT). The DC-DC buck-boost con verter is the unique converter which allows excellent tracking of PV array maximum MPP rather than of temperature and insolation levels.
关键词： Solar PV Array,SRM,soft starting,InC-MPPT algorithm,Buck-boost converter
更新于2025-09-10 09:29:36
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Variability of Multispectral Lidar 3D and Intensity Features with Individual Tree Height and Its Influence on Needleleaf Tree Species Identification
摘要： Tree species identification is important in forest management. The multispectral lidar Titan of Teledyne Optech Inc. can improve tree species separation by providing classification features computed from the three-channel intensities, ratios and normalized differences. However, the value of features used in classification algorithms (e.g., random forest, RF) may vary with tree size. The focus of the present study is to show how tree height influences the 3D and intensity features, how this relationship may affect the species classification accuracy, and how different classification strategies may circumvent this problem. Six needleleaf species (Pinus resinosa, Pinus strobus, Pinus sylvestris, Larix laricina, Picea abies and Picea glauca), found in plantations of different ages, were sampled to train classifiers. Some features yielded a good discriminatory power for species identification, despite their relation to tree height (r2 up to 0.6). Two classification strategies—a) using only size-invariant features (SIF) and b) training separate classifiers per tree height strata (HSC)—were compared to a standard classification (STD: all features, without height stratification). The accuracy of the SIF approach was lowest, useful variables being removed due to their relationship to tree height. The HSC provided only a minor improvement over the STD results.
关键词： tree species identification,Teledyne Optech Inc.,Titan,random forest,3D features,intensity features,multispectral lidar
更新于2025-09-04 15:30:14
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Reduced Current Sensor Based Solar PV Fed Motion Sensorless Induction Motor Drive for Water Pumping
摘要： This paper proposes a solar photovoltaic (PV) array fed induction motor (IM) drive operated water pumping system with an speed adaptive estimator. It focuses on the implementation of a space vector modulation (SVM) of voltage source inverter (VSI) without current sensors. The motor phase currents are estimated from the DC link current. The VSI is used for maximum power tracking and to drive an IM. A generalized integrator based flux adaptation approach is used to improve the drive performance. Moreover, a modified model reference adaptive system (MRAS) based speed estimation with rotor fluxes and stationary frame currents enhances its stability throughout the operating range. A modified algorithm based on incremental-conductance (InC) is proposed for maximum power point (MPP), which is used for peak power tracking at each insolation with a technique to control flow-rate. The overall system incorporating a single-stage PV powered space vector modulation (SVM) based VSI fed IM driven water pump is modeled and its performance is simulated in MATLAB/Simulink environment. The appropriateness of proposed system is verified experimentally on a prototype developed in the laboratory under various operating conditions.
关键词： Incremental-conductance (InC) algorithm,Speed adaptation,PV array,Induction motor drive (IMD),Water pump,Current sensor reduction,Field-oriented control (FOC)
更新于2025-09-04 15:30:14