Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT

Paz, Francisco; Ordonez, Martin

doi:10.1109/tie.2014.2311414

Cited by 92 publications

(47 citation statements)

References 30 publications

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“…A common regulator used for renewable energy conversion employs power electronics. In [6,52,53,54], power electronics are alternatively used in wind and solar energy conversion systems in order to extract the power maximum of the wind turbine and solar panel. For example, a power converter is used to control voltage/current in a PV system [15,55] and speed in a wind system [56,57,58,59,60,61].…”

Section: Speed Regulationmentioning

confidence: 99%

“…Generally, the MPPT of photovoltaics system using the P&O techniques is known to have the drawback of the operating point oscillating around the MPP at steady state [90,52]. The step-size selection of this method also directly affects the accuracy and speed of convergence to MPP.…”

Section: Review Of Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

“…Recently Paz and Ordonez [52] and Kadri et al [105], presented P&O based MPPT methods for PV systems that avoid search direction confusions. This is achieved by indirectly detecting a ramp change of irradiances by measuring the PV output voltage regulator error and adjusting the reference voltage in proportion to that error.…”

Section: Fuzzy Logic Control (Flc) Is Another Technique That Has Beenmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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The thesis is concerned with a small-scale compressed air energy storage (SS-CAES) system. Although these systems have relatively low energy density, they offer advantages of low environmental impact and ease of maintenance.The thesis focuses on solving a number of commonly known problems related to the perturb and observe (P&O) maximum power point tracking (MPPT) system for SS-CAES, including confusion under input power fluctuation conditions and operating point dither.A test rig was designed and built to be used for validation of the theoretical work. The rig comprised an air motor driving a permanent magnet DC generator whose power output is controlled by a buck converter. A speed control system was designed and implemented using a dSPACE controller. This enabled fast convergence of MPPT.Four MPPT systems were investigated. In the first system, the air motor characteristics were used to determine the operating speed corresponding to MPP for a given pressure. This was compared to a maximum efficiency point tracking (MEPT) system. Operating at the maximum power point resulted in 1% loss of efficiency compared to operating at the maximum efficiency point. But MPPT does not require an accurate model of the system that is needed for MEPT, which also requires more sensors.The second system that was investigated uses a hybrid MPPT approach that did not require a prior knowledge system model. It used the rate of change of power output with respect to the duty cycle of the buck converter as well as the change in duty cycle to avoid confusion under input power fluctuations. It also used a fine speed step in the vicinity of the MPP and a coarse speed step when the operating point was far from the MPP. Both simulation and experimental results demonstrate the efficiency of this proposed system. The third P&O MPPT system used a fuzzy logic approach which avoided confusion and eliminated operating point dither. This system was also implemented experimentally.A speed control system improved the controllable speed-range by using a buck-boost converter instead. The last MPPT system employed a hybrid P&O and incremental inductance (INC) approach to avoid confusion and eliminate operating point dither. The simulation results validate the design.Although the focus of the work is on SS-CAES, the results are generic in nature and could be applied to MPPT of other systems such as PV and wind turbine.

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Section: Speed Regulationmentioning

confidence: 99%

Section: Review Of Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

Section: Fuzzy Logic Control (Flc) Is Another Technique That Has Beenmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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“…Many mathematical models have been reported in literature to extract the I-V curve of a PV generator [13]. The features of this PV generator is usually translated either to an equivalent circuit of one-diode model or an equivalent circuit of two-diode model containing a photocurrent source, a diode or two diodes, a shunt resistance (R sh ) and a series resistance (R s ) in the load branch [14].…”

Section: Modeling and Characterization Of The Pv Generatormentioning

confidence: 99%

Relevance of the P & O MPPT Technique in an Original PV-Powered Water Pumping Application

Aissou¹,

Jacques²,

Mokrani³

et al. 2015

JEPE

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Many papers exploiting the various MPPT (maximum power point tracking) techniques in PV (photovoltaic) applications, from the simple to the most complicated, can be found in literature. However, these techniques may not always be easy to implement in industrial applications. The main challenge of this paper is to model and implement the P & O (perturb and observe) algorithm in a low-cost PV-powered pumping system. To that end, a comparative investigation of the performance characteristics of the most popular MPPT methods, such as FOCV (fractional open circuit voltage), FSCC (fractional short circuit current), FLC (fuzzy logic control), ANN (artificial neural network) and INC (incremental conductance) is presented. This analysis is helpful to highlight the relevance of the P & O technique taking better account of complexity, difficulty of implementation and cost considerations in water pumping applications. The targeted PV-powered pumping system is based on a single-phase induction motor supplied by a three-phase inverter controlled by the DTC (direct torque control) technique. This stand-alone PV system is dedicated to water pumping, especially in rural areas that have no access to national grids but have sufficient amount of solar radiation. Simulation modeling (Matlab/Simulink) and experimental results are presented to demonstrate the relevance of the system.

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“…[5] develops and discusses in detail an MPPT algorithm with zero oscillation and slope tracking to address those technical challenges. The strategy combines three techniques to improve steady-state behavior and transient operation: 1) idle operation on the maximum power point (MPP); 2) identification of the irradiance change through a natural perturbation; and 3) a simple multilevel adaptive tracking step.…”

Section: Literature Surveymentioning

confidence: 99%

Solar Powered Optimal Battery Charging Scheme For Moving Robotic Vehicle

Andhare¹

2015

IJRITCC

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Abstract-This paper focuses on the design and development of an optimization charging system for Li-Po batteries with the help of solar tracking panels. Therefore, the implementation of a complete energy management system applied to a robotic vehicle. The proposed system is to design Moving robotic Vehicle. The design concept, based on a microcontroller. On this basis, our proposal makes a dual significant contribution. First upon, it presents the construction of a solar tracking mechanism aimed at increasing the robots power regardless of its mobility. Secondly, it proposes an alternative design of power system performance based on a pack of two batteries. The aim is completing the process of charging a battery independently while the other battery provides all the energy consumed by the robotic vehicle.

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Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT

Cited by 92 publications

References 30 publications

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Relevance of the P & O MPPT Technique in an Original PV-Powered Water Pumping Application

Solar Powered Optimal Battery Charging Scheme For Moving Robotic Vehicle

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