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Proceedings ArticleDOI

Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Nopporn Patcharaprakiti, +1 more
- Vol. 1, pp 372-377
TLDR
The maximum power point tracking control is based on adaptive fuzzy logic to control MOSFET switch of boost converter and single phase inverter uses predicted current control to control four IGBTs switch for grid-connected control.
Abstract
In this paper proposed method of maximum power point tracking using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of boost converter single-phase inverter connected to utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control MOSFET switch of boost converter and single phase inverter uses predicted current control to control four IGBTs switch for grid-connected control. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance and it can also change fuzzy parameter for improving control system. The fuzzy logic predicted current control provide current with sinusoidal waveshape and inphase with voltage. This system can provide energy with low harmonics and high power factor.

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Citations
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Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques

TL;DR: The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed in this paper, and at least 19 distinct methods have been introduced in the literature, with many variations on implementation.
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Parallel-Connected Solar PV System to Address Partial and Rapidly Fluctuating Shadow Conditions

TL;DR: A portable solar PV system that effectively eliminates both of the aforementioned problems is described and proven and is capable of simultaneously maximizing the power generated by every PV cell in the PV panel.
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MPPT techniques for photovoltaic applications

TL;DR: In this paper, the authors assess different MPPT techniques, provide background knowledge, implementation topology, grid interconnection of PV and solar microinverter requirements presented in the literature, doing depth comparisons between them with a brief discussion.
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The application of soft computing methods for MPPT of PV system: A technological and status review

TL;DR: This work summarizes the current technology and status of SC MPPT as reported in various literature and provides an evaluation on the performance of various SC methods based on several criteria, namely PV array dependency, convergence time, ability to handle partial shading conditions, algorithm complexity and hardware/practical implementation.
Proceedings ArticleDOI

A survey of maximum PPT techniques of PV systems

TL;DR: A survey of different maximum peak power tracking (MPPT) techniques used in the implementation of photovoltaic power systems is presented in this paper, where different 30 techniques are discussed.
References
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Journal ArticleDOI

Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions

TL;DR: In this article, the authors developed an incremental conductance (IncCond) algorithm to track the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems.
Proceedings ArticleDOI

Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed

TL;DR: Results are using a microprocessor controlled MPPT powered by a 250 W photovoltaic (PV) array and also a PV array simulator to compare efficiencies under varying conditions.
Journal ArticleDOI

Neural network based estimation of maximum power generation from PV module using environmental information

TL;DR: In this article, an artificial neural network (ANN) was used for the estimation of the maximum power generation from a PV module under the conditions of irradiation, temperature and wind velocity.
Proceedings ArticleDOI

Comparative study of peak power tracking techniques for solar storage system

TL;DR: In this paper, a simple method which combines a discrete time control and a PI compensator is used to track the maximum power points (MPPs) of the solar array, the implementation of the proposed converter system was based on a digital signal processor (DSP).
Journal ArticleDOI

Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control

TL;DR: The proposed neural network has a quite simple structure and provides a highly accurate identification of the optimal operating point and also ahighly accurate estimation of the maximum power from the PV modules.
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