Modified Fibonacci Search Based MPPT Scheme for SPVA Under Partial Shaded Conditions

Ramaprabha, R.; Mathur, B. L.; Ravi, A.; Aventhika, S.

doi:10.1109/icetet.2010.45

Cited by 40 publications

(22 citation statements)

References 19 publications

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“…In the Fibonacci search, the length of the interval is defined based on the numbers in the Fibonacci sequence [82,96]. To utilise Fibonacci search with non-uniform environmental conditions, a condition must be defined to identify when the non-uniform conditions arise and to re-initialise the global search [82].…”

Section: Line Searchmentioning

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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Section: Line Searchmentioning

confidence: 99%

Maximum Power Point Tracking Methods for PV Systems

Lyden

Haque

Mahmud

2016

Advances in Solar Photovoltaic Power Plants

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“…While some techniques have been proposed to enable Global MPPT (GMPPT) under such conditions, these frequently result in larger system implementation cost [9]- [13], have increased complexity [9], [10], [14], may not always guarantee GMPPT or experience significant power losses in the tracking process [15]- [17]. In some cases, these GMPPT methods need to be optimized for each individual PV system or are strongly dependent on the starting value [18]- [20].…”

Section: Introductionmentioning

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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“…While some techniques have been proposed to enable Global MPPT (GMPPT) under such conditions, these frequently result in larger system implementation cost [10]- [14], have increased complexity [10], [11], [15], may not always guarantee GMPPT or experience significant power losses in the tracking process [1], [16], [17]. In some cases, these GMPPT methods need to be optimized for each individual PV system or are strongly dependent on the choice of initial values [18]- [20].…”

Section: Introduction (Heading 1)mentioning

confidence: 99%