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Physical Sciences and Mathematics Commons

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Computer Engineering

TÜBİTAK

Journal

2015

Maximum power point tracking

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

An Improved Incremental Conductance Based Mppt Approach For Pv Modules, Mustafa Engi̇n Başoğlu, Beki̇r Çakir Jan 2015

An Improved Incremental Conductance Based Mppt Approach For Pv Modules, Mustafa Engi̇n Başoğlu, Beki̇r Çakir

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new maximum power point tracking (MPPT) method based on an incremental conductance (IC) algorithm, constant voltage, and look-up table approach. Convergence time, one of the indicators of MPPT quality, is considered for improving MPPT performance of photovoltaic (PV) modules. In this context, a novel hybrid MPPT approach has been proposed. This proposed method consists of three stages. In the first stage, the value of load resistance is calculated. Then the initial operation point of the PV module is determined by using the constant voltage method or look-up table approach. An IC algorithm is used in order …


Mppt Of Pv Array Using Stepped-Up Chaos Optimization Algorithm, Lihua Wang, Xueye Wei, Yuqin Shao, Tianlong Zhu, Junhong Zhang Jan 2015

Mppt Of Pv Array Using Stepped-Up Chaos Optimization Algorithm, Lihua Wang, Xueye Wei, Yuqin Shao, Tianlong Zhu, Junhong Zhang

Turkish Journal of Electrical Engineering and Computer Sciences

In order to achieve maximum efficiency, a maximum power point tracking (MPPT) scheme should be applied in photovoltaic systems. Among all the MPPT schemes, the chaos optimization scheme is one of the hot topics in recent years. In this study, a novel stepped-up chaos optimization algorithm is presented. A chaos mapping $x_{n+1} =\mu \sin (\pi x_{n} )$ is used as a chaos generator to produce a chaos variable. In the process of MPPT, a coarse search is done to find the current optimal solution in a certain range, and then a fine search reduces the space of optimized variables. Compared …