Dr. Imad A. Elzein
A Modified Intelligent and Adaptive P&O Fuzzy Agent Controller to Extract the Maximum Power Point of Photovoltaic System Station Through The Implementation Process of Power Controller
Dr. Imad Ahmad Elzein obtained his undergraduate and graduate degrees in computer engineering from Wayne State University, Michigan, USA. Currently, he is an assistant professor, and campus coordinator at the Computer Science and Information Technology department, at The International University of Beirut in Lebanon. Dr. Elzein has 18+ years of solid experience in the fields of electronics design and control, computer networks and control systems. He worked for multi international corporations in Canada and the USA as a design & technical engineer, senior technical support manager and consultant for well-known corporations namely, Microsoft, Cisco, Verizon, IBM, Rogers, and HP. His research interests are in the fields of Control Systems, Renewable Energy and Robotics. Dr. Elzein has more than 47 research articles published in multi international journals and IEEE conferences.
In this research article a proposed controller will be utilized to search for the Maximum Power Point (MPP) based on presenting an adaptive fuzzy logic control agent, which is implemented into photovoltaic (PV) stations to search track and detect the MPP under dynamic weather conditions (irradiance, temperature). The proposed module is composed of boost converter, a fuzzy controller and load. To track the maximum power point MPP an adaptive MPPT perturb and observe (P&O) fuzzy logic agent will be introduced in this research to enhance the accuracy of detecting the MPP, eliminating the oscillation around that point to extract the maximum power (Pmax) and to use a variable steps size perturbation to locate the MPP which will allow for a faster response time to the changes of irradiance and temperature and an overall significant decrease in the oscillation as the Pmax is detected to increase the overall energy and subsequently the maximum power to be extracted from a PV system.
Fuzzy logic, P&O, maximum powerpoint, MPPT.