Microcontroller based maximum power tracking of PV using stimulated annealing algorithm

IEEE Trans. Power Electron.

2016

216

106

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)

Section: Particle Swarm Optimization Mppt Methodsmentioning

confidence: 99%

“…In [40], the SA method is applied to MPPT in a simple PV system experiencing uniform conditions. This paper presents a more robust implementation of the SA method for MPPT, specifically under PSC.…”

Section: Introductionmentioning

confidence: 99%

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

IEEE Trans. Power Electron.

2016

216

106

“…While traditionally used for global minimisation, a small change to the key criteria of the method enables it to be used for global maximisation. The SA-based MPPT method has been applied to uniform [101] and non-uniform operating conditions [102,103] and exhibits good performance under both with limited optimisation of the parameters. To find the MPP with the SA-based method, an initial temperature, final temperature and cooling rate must be defined.…”

Section: Simulated Annealingmentioning

confidence: 99%

Maximum Power Point Tracking Methods for PV Systems

Advances in Solar Photovoltaic Power Plants

Mahmud

2016

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.

“…Since the 1980's the technique has been applied to a variety of optimization problems [32]- [44]. In [40], the SA method is applied to MPPT in a simple PV system experiencing uniform conditions.…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

Application of a Simulated Annealing technique for global maximum power point tracking of PV modules experiencing partial shading

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

Xiao

2014