Szczegóły

Tytuł artykułu

Evaluation of maximum power point tracking methods for photovoltaic systems

Tytuł czasopisma

Archives of Control Sciences

Rocznik

2011

Numer

No 2

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Opis

Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.

Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science.

Wydawca

Committee of Automatic Control and Robotics PAS

Data

2011

Identyfikator

ISSN 1230-2384

Referencje

Hussein K. (1995), Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions, Proc. Inst. Elect. Eng, 142, 1, 59. ; Esram T. (2007), Comparison of photovoltaic array maximum power point tracking techniques, IEEE Trans. on Energy Conversion, 22, 2, 439, doi.org/10.1109/TEC.2006.874230 ; Veerachary M. (2002), Voltage-based maximum power point tracking control of PV system, IEEE Trans. Aerosp. Electron. Syst, 38, 1, 262, doi.org/10.1109/7.993245 ; Tafticht T. (2008), An improved maximum power point tracking method for photovoltaic systems, Renewable Energy, 33, 7, 1508, doi.org/10.1016/j.renene.2007.08.015 ; Duffie J. (1980), Solar engineering of thermal process, 768. ; Akkaya R. (2007), DSP implementation of a PV system with GA-MLP-NN based MPPT controller supplying BLDC motor drive, Energy Conversion and Management, 48, 210, doi.org/10.1016/j.enconman.2006.04.022 ; Alepuz S. (2006), Interfacing renewable energy sources to the utility grid using a three-level inverter, IEEE Trans. on Industrial Electronics, 53, 5, 1504, doi.org/10.1109/TIE.2006.882021 ; Ilango G. (2010), Single-stage sine-wave inverter for an autonomous operation of solar photovoltaic energy conversion system, Renewable Energy, 35, 275, doi.org/10.1016/j.renene.2009.06.009 ; Enrique J. (2007), Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies, Solar Energy, 81, 31, doi.org/10.1016/j.solener.2006.06.006 ; Femia N. (2005), Optimization of perturb and observe maximum power point tracking method, IEEE Trans. on Power Electronics, 20, 4, 963, doi.org/10.1109/TPEL.2005.850975 ; Femia N. (2004), Increasing the efficiency of P&O by converter dynamic matching, null. ; Youngseok J. (2005), Improved perturbation and observation method (IP&O) of MPPT control for photovoltaic power systems, null, 1788. ; Wu T. (2000), A fuzzy-logic-controlled single-stage converter for PV-powered lighting system applications, IEEE Trans. Ind. Electron, 47, 2, 287, doi.org/10.1109/41.836344 ; Hilloowala R. (1992), A rule-based fuzzy logic controller for a PWM inverter in photovoltaic energy conversion scheme, null, 762. ; Lalounia S. (2009), Fuzzy logic control of stand-alone photovoltaic system with battery storage, J. of Power Sources, 193, 899, doi.org/10.1016/j.jpowsour.2009.04.016

DOI

10.2478/v10170-010-0037-0

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