报告题目：Modeling and Evaluation of SC MPPT controllers for PVWPS Based on DC Motor

报告所属学科：管理科学与工程

报告人：Dr Wael S. Hassanein（King AbdulAziz University）

报告时间：2023年11月20日 15:30-16:30

报告地点：经管学院702室

报告摘要：

This paper presents novel models of Soft Computing (SC) Maximum Power Point Tracking (MPPT) controllers for Photo-Voltaic Water Pumping Systems (PVWPS) Based on DC Motor. Also paper discusses and evaluates the performance of the proposed models. The proposed methodology is mainly based on duty cycle prediction of the cuk converter to track the maximum power point (MPP) of the PV array. Indeed of the maximum water flow rate of PVWPS at varying climate conditions must ensure that the motor-pump set operates at MPP. The analytical modeling for the proposed MPPT controller has been implemented to predict the optimal duty cycle of the converter for MPPT achievement within the different operating conditions of solar radiation, ambient temperature, and total static head. Also, different Soft Computing (SC) Algorithms have been implemented and evaluated based on Particle Swarm Optimization (PSO) algorithm, Mine Blast Algorithm (MBA), and β-hill climbing (β-HC) algorithm. A comparative study between SC Algorithms, analytical modeling, and experimental works are given. Also evaluations of SC Algorithms are done to verify SC Algorithms’ accuracy. This evaluation study has proven the significant improvement of daily water flow rate and also has specified the appropriateness of the SC algorithm for MPPT for a PVWPS.

报告人简介：

Dr. Wael S. Hassanein was born in Egypt in 1975. He received his B.S. degree from production and Industrial engineering department, Faculty of engineering, Zagazig University, Egypt, in 1998. He also received his M.S. degree in 2004, and Ph.D. degree in 2013, from Industrial engineering and systems department, Faculty of engineering, Zagazig University, Egypt. Currently he is an assistant professor in the Department of Industrial Engineering, faculty of engineering, King Abdulaziz University, KSA.