Particle swarm optimization perturb and observe (PSO P&O) based maximum power point tracker (MPPT) for Azimuthal altitude dual axis solar tracker and hybrid cooling solar PV panel/ Bernadette E. Bernardez, Dexter N. Butlig, Gideon Paul Elijah S. Conejos, Diether L. Fullante, Kyle Nicole R. Rosello, and Ronald T. Rosete

By:

Bernardez, Bernadette E [author]

Contributor(s):

Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2023Description: 161pages: 28cm. +CDSubject(s):

Solar power

LOC classification:

TK 1056 P37 2022

Summary: Solar panels, although useful in harvesting energy through sunlight, are not efficient enough to concentrate the usable energy to loads. Several reasons for this occurrence are the lack of concentration of sunlight and even high temperature affects the energy conversion. The proponents utilized an azimuth-altitude solar tracker for maximizing the sunlight direction into the PV cells and a hybrid cooling system using air and water to maintain between 30 to 35 °C through Arduino Mega2560. The MPPT system of the design compares the power in the input and the loads using the buck-boost converter. The researchers are successful in designing the PSO-P&O based MPPT using Arduino microcontroller and buck-boost converter for solar charge controller with an efficiency of 25.024% up to 31.009%. The PSO-P&O based MPPT has an average efficiency of 28.375% with 28% efficiency while ANFIS has 24%. If cost-effectiveness is taken as consideration ANFIS has a larger cost-benefit ratio than PSO-P&O with a difference of 0.123

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Status	Notes	Date due	Barcode
Bachelor's Thesis COE	TUP Manila Library	Thesis Section-2nd floor	BTH TK 1056 P37 2022 (Browse shelf(Opens below))	1	For room use only		BTH0003247

Includes bibliography

Solar panels, although useful in harvesting energy through sunlight, are not efficient enough to concentrate the usable energy to loads. Several reasons for this occurrence are the lack of concentration of sunlight and even high temperature affects the energy conversion. The proponents utilized an azimuth-altitude solar tracker for maximizing the sunlight direction into the PV cells and a hybrid cooling system using air and water to maintain between 30 to 35 °C through Arduino Mega2560. The MPPT system of the design compares the power in the input and the loads using the buck-boost converter. The researchers are successful in designing the PSO-P&O based MPPT using Arduino microcontroller and buck-boost converter for solar charge controller with an efficiency of 25.024% up to 31.009%. The PSO-P&O based MPPT has an average efficiency of 28.375% with 28% efficiency while ANFIS has 24%. If cost-effectiveness is taken as consideration ANFIS has a larger cost-benefit ratio than PSO-P&O with a difference of 0.123

There are no comments on this title.

to post a comment.