Probabilistic Analysis of a Generalized Perturb and Observe Algorithm Featuring Robust Operation in the Presence of Power Curve Traps

Jones, David Charles; Erickson, Robert W.

doi:10.1109/tpel.2012.2224378

Cited by 37 publications

(17 citation statements)

References 46 publications

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“…However, the connection of bypass diodes will change the uniform current-voltage (I-V) and power-voltage (P-V) characteristics of the module, resulting in multiple peaks [1]. To maximize the efficiency of the module, it is necessary to track The conventional MPPT methods such as perturb-and-observe (P&O) [2], [3], hill-climbing (HC) [4] and incremental conductance (INC) [5] essentially rely on determining the gradient of the power with respect to the current, voltage or duty cycle using the perturbation method for tracking movement [6]. Consequently, the main drawback of these methods is that they cannot differentiate between a local maximum point (LMP) and the GMP, and the attained point may be a LMP, leading to power losses.…”

Section: Introductionmentioning

confidence: 99%

A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading

Teshome

Lee

Lin³

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

178

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Photovoltaic (PV) modules subjected to partial shading conditions (PSC) can drastically decrease their power output. Hence, there have been various maximum power point tracking (MPPT) control algorithms developed to reduce or counteract the shading effects. Recently, a new meta-heuristic algorithm known as firefly algorithm (FA) was developed, which, under PSC, has been shown to successfully track the GMP. Nevertheless, the FA still has some inherent problems, which may hinder the performance of the MPPT. This paper modifies the existing FA to counteract these problems. As will be demonstrated in the paper, the proposed modified FA (MFA) method can reduce the number of computation operations and the time for converging to the GMP that the existing FA requires.Experimental results show that the proposed method can track the global point under various PSC, has a faster convergence time, compared to the FA, and can effectively suppress the power and voltage fluctuations. Index TermsMaximum power point tracking (MPPT), photovoltaic (PV) array, partial shading, global optimization, firefly algorithm

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Section: Introductionmentioning

confidence: 99%

A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading

Teshome

Lee

Lin³

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

178

View full text Add to dashboard Cite

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“…Generalised P&O (GPO) is a method designed to address the tendency of the P&O method to become trapped in local power curve traps that arise due to measurement noise [35]. In the GPO method, the measured power at the current step is compared with a previously measured power, not necessarily the most recent, based on some scaling factor a 1 \1.…”

Section: Hill Climbing Methodsmentioning

confidence: 99%

Maximum Power Point Tracking Methods for PV Systems

Lyden

Haque

Mahmud

2016

Advances in Solar Photovoltaic Power Plants

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Maximum power point tracking (MPPT) is an important consideration in photovoltaic (PV) systems. These systems exhibit variable nonlinear current-voltage (I-V) and power-voltage (P-V) characteristics which vary with environmental conditions. The optimum operation of a PV system occurs when the system operates at the unique maximum power point (MPP) for the given environmental conditions. Key environmental conditions include the irradiance on the cell, temperature of the cell and any shading phenomenon. Shading can occur due to objects, dust or dirt and module mismatch arising from damage or manufacturing tolerances. These shading effects introduce further nonlinearity into the I-V and P-V characteristics of the system. An extensive variety of MPPT techniques has been proposed which vary from simple estimation techniques to advanced tracking techniques. In this chapter, the criteria for assessing the performance of MPPT methods are defined followed by a complete description and discussion of both techniques designed for uniform environmental conditions and those designed for non-uniform environmental conditions.

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“…The P&O method converged in three of the six test cases considered. In some of the test cases it became clear that the P&O method had become trapped in a local power trap [54] as the method continued to oscillate around a point far from any MPP. There were also several cases where the method started to track in the wrong direction as the environmental conditions changed.…”

Section: Experimental Validationmentioning

confidence: 99%

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

Lyden

Haque

2016

IEEE Trans. Power Electron.

216

106

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This paper proposes a Simulated Annealing based Global Maximum Power Point Tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common Perturb and Observe MPPT technique and the Particle Swarm Optimization method for GMPPT. The performance is assessed by considering the time taken to converge and the number of sample cases where the technique converges to the GMPP. Simulation results indicate the improved performance of the Simulated Annealing based GMPPT algorithm, with arbitrarily selected parameters, in tracking to the global maxima in a multiple module PV system which experiences PSC. Experimental validation of the technique is presented based on PV modules that experience non-uniform environmental conditions. Additionally, studies regarding the influence of the key parameters of the SA based algorithm are described. Simulation and experimental results verify the effectiveness of the proposed GMPPT method.Index Terms-photovoltaic systems, maximum power point trackers, simulated annealing, particle swarm optimization. 0885-8993 (c)

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Probabilistic Analysis of a Generalized Perturb and Observe Algorithm Featuring Robust Operation in the Presence of Power Curve Traps

Cited by 37 publications

References 46 publications

A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading

A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading

Maximum Power Point Tracking Methods for PV Systems

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

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