Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control
TLDR
A maximum power point tracker using Fuzzy Logic theory for a PV system using the well known Perturb and Observe algorithm and is compared to a designed fuzzy logic controller (FLC).About:
This article is published in NRIAG Journal of Astronomy and Geophysics.The article was published on 2012-12-01 and is currently open access. It has received 54 citations till now. The article focuses on the topics: Maximum power point tracking & Grid-connected photovoltaic power system.read more
Citations
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Journal ArticleDOI
Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems
TL;DR: In this article, a state-of-the-art analysis of the available maximum power point tracking (MPPT) techniques and their comprehensive comparative analysis based on 110 standard research articles is presented.
Journal ArticleDOI
Recent meta-heuristic grasshopper optimization algorithm for optimal reconfiguration of partially shaded PV array
TL;DR: A new methodology based on recent meta-heuristic optimization algorithm named grasshopper is proposed to be applicable in solving the reconfiguration process of the partially shaded PV array optimally to maximize the power extracted from the array via proposed objective function presented.
Journal ArticleDOI
AI-based global MPPT for partial shaded grid connected PV plant via MFO approach
TL;DR: Simulation results prove the capability of the proposed approach for seeking the GMPPT of the PV array system and overcome the drawbacks related to PSC and enhance the PV system performance.
Journal ArticleDOI
A new technique based on Artificial Bee Colony Algorithm for optimal sizing of stand-alone photovoltaic system
TL;DR: The proposed methodology is applied to optimize the cost of the PV system including photovoltaic, a battery bank, a Battery charger controller, and inverter, and it is found that the ABC is more optimal than GA.
Journal ArticleDOI
A novel methodology for simulating maximum power point trackers using mine blast optimization and teaching learning based optimization algorithms for partially shaded photovoltaic system
Ahmed Fathy,Hegazy Rezk +1 more
TL;DR: In this article, two meta-heuristic optimization algorithms, namely the mine blast algorithm (MBA) and the teaching learning based optimization algorithm (TLBO), were used to extract GMPP from the PV system under partial shading conditions.
References
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Power Electronics: Converters, Applications and Design
TL;DR: In this paper, the authors present a simulation of power switch-mode converters for zero-voltage and/or zero-current switchings in power electronic converters and systems.
Journal ArticleDOI
Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques
Trishan Esram,Patrick L. Chapman +1 more
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.
Book
Renewable and Efficient Electric Power Systems
TL;DR: In this article, the authors present an overview of the early history of the electric power industry, including the early pioneers of the electrical power industry and the development of the modern electric power system.
Journal ArticleDOI
Comparative study of maximum power point tracking algorithms
D. P. Hohm,Michael Ropp +1 more
TL;DR: It is found that the P&O method, when properly optimized, can have MPPT efficiencies well in excess of 97%, and is highly competitive against other MPPT algorithms.
Related Papers (5)
Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques
Trishan Esram,Patrick L. Chapman +1 more