Dr. Angelo A. Beltran Jr
Ph.D. Electronics Engineering (Mapua University)
Dr. Angelo A. Beltran Jr. was born in Quezon City, Philippines. He received the B.S. in Electronics and Communications Engineering from the AMA Computer University, Philippines, the M.Eng. in Electronics and Communications Engineering and the Ph.D. in Electronics Engineering, all in Mapua University, Philippines. He is currently with the Department of Electronics Engineering at Adamson University, Philippines. From 2015 – 2017, he was a Visiting Scholar in the Department of Electrical Engineering, Chung Yuan Christian University, Taiwan. He is a Professional Electronics Engineer and a former Research and Development Engineer for Power Electronics and Motor Control in Servo-Tech, Taiwan. He had authored or co-authored several papers in proceedings and international journals. He serves as a reviewer for several conferences, engineering and scientific journals. He received the Best Paper Award at Chung Yuan Christian University, First Place Best Department Chair Research Award, and Third Place Best Department Chair Research Award, at the Technological Institute of the Philippines in 2016, 2012, and 2011, respectively. His research interests include renewable energy systems, computational intelligence based control and estimation, embedded systems, applied swarm intelligence algorithms and evolutionary computing techniques, self organizing and adaptive control systems, chaos theoretic concepts and applications.
“Maximum Power Point Tracking for Solar PV Systems”
There is a growing attention towards the use of renewable energy source in recent decades because of the concern for environmental pollution and possible energy crisis in the future. In recent years, the solar PV energy is attracting substantial interest from the renewable energy communities. However, it suffers from low conversion efficiency. Thus, power output maximization is a very important task with solar PV. Maximum power point tracking (MPPT) have been used to get the most power out of a renewable energy system such as solar energy. To automatically adjust the operating voltage of solar close to maximum power point through changing conditions of atmosphere is the purpose of working with maximum power point tracking control. In this talk, definitions, several equations, algorithms, and some soft computing technique, comparisons are discussed in detail. Further, some research directions are presented in the conclusion.