Banca de QUALIFICAÇÃO: FÁBIO INÁCIO DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : FÁBIO INÁCIO DA SILVA
DATE: 05/06/2023
TIME: 14:00
LOCAL: Google
TITLE:

Strategy for Reducing Tracking Time of Maximum Power Point Search Algorithms in Photovoltaic Systems

KEY WORDS:

DC-DC converters, efficiency, maximum power point tracking, photovoltaic systems

PAGES: 84
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Circuitos Elétricos, Magnéticos e Eletrônicos
SPECIALTY: Circuitos Eletrônicos
SUMMARY:

The increasing demand for sustainable energy sources and the need to reduce dependence on fossil fuels have driven the development of solar photovoltaic systems. However, the efficiency of these systems largely depends on the ability to track the maximum power point, where the conversion of solar energy into electricity is maximized. Tracking the maximum power point is a challenging task as it involves searching for a specific point on a power characteristic curve. Traditionally, various techniques have been developed to optimize the performance of photovoltaic systems. However, one of the limitations faced by MPPT techniques is the lengthy tracking time required to find the maximum power point. Prolonged tracking time results in efficiency losses and inadequate utilization of available solar energy. In this context, this dissertation presents an innovative strategy to accelerate tracking techniques, aiming to reduce the time required to find the maximum power point. The development of this tracking acceleration strategy represents a significant advancement in the field of photovoltaic systems. The results obtained from implementing this methodology can contribute to improving the performance and efficiency of solar photovoltaic systems, facilitating their widespread adoption as a clean and renewable energy source.

BANKING MEMBERS:
Presidente - 1557578 - FERNANDO LESSA TOFOLI
Interno - 1842921 - EDUARDO MOREIRA VICENTE
Externo à Instituição - ÊNIO ROBERTO RIBEIRO