MPPT Commands for a photovoltaic generator using the Incremental Conductance Method and the fuzzy logic command

被引:0
|
作者
Elgharbaoui, Elmahdi [1 ]
Essadki, Ahmed [2 ]
Nasser, Tamou [3 ]
机构
[1] Univ Mohammed 5, ENSET, Lab Rech Genie Elect, Rabat, Morocco
[2] Univ Mohammed 5, ENSET, Dept Genie Elect, Rabat, Morocco
[3] Univ Mohammed 5, ENSIAS, Dept Reseau Commun, Rabat, Morocco
来源
2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM) | 2014年
关键词
Photovoltaic generator; MPPT; Boost chopper; PWM; InCond; Fuzzy logic;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the era of sustainable development, photovoltaic (PV) technology has shown significant potential as a renewable energy source. Photovoltaic generators (GPV) have a non-linear current-voltage characteristic, with a maximum power point (MPP) characterized by an optimal voltage, and depends on environmental factors such as temperature and irradiation. To extract each time the maximum power available at the terminals of the GPV and transfer it to the load, an adaptation stage is used, consisting of a Boost chopper controlled by a maximum power point tracking technique (MPPT) through a stage of pulse width modulation (PWM). Our choice has focused on two techniques which are: the Incremental Conductance Method (InCond) and that of control using the fuzzy logic. The implementation and simulation of the system (photovoltaic generator, chopper Boost, PWM and MPPT techniques) are then performed in the Matlab/Simulink environment.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Fuzzy Logic Type-2 Controller Design for MPPT in Photovoltaic system
    Soltani, Sina
    Kouhanjani, Masoud Jokar
    2017 CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS CONFERENCE (EPDC), 2017, : 149 - 155
  • [22] Stateflow based Incremental Conductance MPPT of a Photovoltaic System using Z - Source DC - DC Converter
    Ali, U. Shajith
    Veeraraghavulu, D. V.
    Niveditha, M.
    Priyadharshini, N.
    Sandhiya, P.
    2016 BIENNIAL INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS: TOWARDS SUSTAINABLE ENERGY (PESTSE), 2016,
  • [23] Maximum power point tracking for photovoltaic using incremental conductance method
    Putri, Ratna Ika
    Wibowo, Sapto
    Rifa'i, Muhamad
    2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY ENGINEERING AND APPLICATION (ICSEEA) 2014 SUSTAINABLE ENERGY FOR GREEN MOBILITY, 2015, 68 : 22 - 30
  • [24] An Intelligent Fuzzy Method for MPPT of Photovoltaic arrays
    Zeng, Guohui
    Liu, Qizhong
    SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2, PROCEEDINGS, 2009, : 356 - 359
  • [25] Comparaison between MPPT P&O and MPPT Fuzzy Controls in Optimizing the Photovoltaic Generator
    Azzouzi, Messaouda
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2012, 3 (12) : 57 - 62
  • [26] Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel
    Ourahou M.
    Ayrir W.
    Haddi A.
    International Journal for Simulation and Multidisciplinary Design Optimization, 2019, 10
  • [27] Intelligent control of photovoltaic grid-connected using frizzy logic based incremental conductance
    Louzazni, Mohamed
    Aroudam, Elhassan
    8TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2014, 2015, 19 : 615 - 622
  • [28] Enhancing Fuzzy Logic MPPT Controller with Metaheuristic Mechanism in Photovoltaic System
    Tan, Min Keng
    He, Ronghui
    Liu, Qiwen
    Yang, Min
    Teo, Kenneth Tze Kin
    2018 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN ENGINEERING AND TECHNOLOGY (IICAIET), 2018, : 55 - 60
  • [29] Performance Analysis of an Incremental Conductance MPPT Algorithm for Photovoltaic Systems Under Rapid Irradiance Changes
    Asnil, Asnil
    Nazir, Refdinal
    Krismadinata, Krismadinata
    Sonni, Muhammad Nasir
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2024, 13 (02): : 1087 - 1094
  • [30] Residual Incremental Conductance Based Nonparametric MPPT Control for Solar Photovoltaic Energy Conversion System
    Alsumiri, Mohammed
    IEEE ACCESS, 2019, 7 : 87901 - 87906