@article{(Open Science Index):https://publications.waset.org/pdf/10000111,
	  title     = {Fuzzy Logic Based Maximum Power Point Tracking Designed for 10kW Solar Photovoltaic System with Different Membership Functions},
	  author    = {S. Karthika and  K. Velayutham and  P. Rathika and  D. Devaraj},
	  country	= {},
	  institution	= {},
	  abstract     = {The electric power supplied by a photovoltaic power
generation systems depends on the solar irradiation and temperature.
The PV system can supply the maximum power to the load at a
particular operating point which is generally called as maximum
power point (MPP), at which the entire PV system operates with
maximum efficiency and produces its maximum power. Hence, a
Maximum power point tracking (MPPT) methods are used to
maximize the PV array output power by tracking continuously the
maximum power point. The proposed MPPT controller is designed
for 10kW solar PV system installed at Cape Institute of Technology.
This paper presents the fuzzy logic based MPPT algorithm. However,
instead of one type of membership function, different structures of
fuzzy membership functions are used in the FLC design. The
proposed controller is combined with the system and the results are
obtained for each membership functions in Matlab/Simulink
environment. Simulation results are decided that which membership
function is more suitable for this system.
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {1022 - 1027},
	  ee        = {https://publications.waset.org/pdf/10000111},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},