DocumentCode :
253316
Title :
Maximum power point tracking of photovoltaic system using feedback fuzzy system
Author :
Chouksey, Luckey ; Saket, R.K. ; Pattanaik, P. Akash
Author_Institution :
Dept. of Electr. Eng., Banaras Hindu Univ., Varanasi, India
fYear :
2014
fDate :
9-11 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a novel intelligent method to track the voltage corresponding to maximum power point of a photovoltaic system. Here, the solar model is tested under variable temperature & irradiance conditions using Fuzzy logic & compare it with conventional methods. The fuzzy control used in the system uses a change in power (error) and rate of change in power (Change in error) as the inputs to get the optimum reference voltage and optimum duty cycle to track the maximum operating point. This method assures fast tracking of a maximum power point with a high accuracy and the results is verified by using Simulink model in Matlab. The system mainly consists of a photovoltaic panel, boost converter and fuzzy controller.
Keywords :
feedback; fuzzy control; fuzzy systems; maximum power point trackers; photovoltaic power systems; power generation control; Simulink model; boost converter; feedback fuzzy system; fuzzy control; fuzzy logic; intelligent method; irradiance conditions; maximum power point tracking; optimum duty cycle; optimum reference voltage; photovoltaic panel; photovoltaic system; solar model; variable temperature; voltage tracking; Manganese; Photovoltaic systems; Resistance; Silicon; Tin; MPPT; feedback fuzzy controller; photovoltaic panel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances and Innovations in Engineering (ICRAIE), 2014
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-4041-7
Type :
conf
DOI :
10.1109/ICRAIE.2014.6909290
Filename :
6909290
Link To Document :
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