An Improved Version of the Perturb and Observe Algorithm for Photovoltaic Power Generation System

• Main Authors: Omar Aqil Ayed AL-Zu\'\'bi, 艾昂明
• Other Authors: Tzung-Lin Lee
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/f9x7e2

碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 107 === In this work, an improved version of the standard P&O MPPT algorithm for PV application with the name of IP&O MPPT algorithm is introduced, proposed and implemented. The new IP&O MPPT algorithm is modeled and then simulated using MATLAB/SIMULINK. The IP&O simulation results are compared with the simulation results of the standard P&O algorithm in different weather condition scenarios. The results prove that the IP&O algorithm to be more efficient, more effective and have a better performance in tracking the MPP during steady state conditions (STC), partial shading conditions (PSC) and sudden change in weather conditions. The IP&O algorithm’s primary goal is to reduce the standard P&O three critical drawbacks losses effects. These drawbacks include the oscillation around the MPP that occurs in case of STC, the deviation of the operating point away from the MPP in case of rapid change in weather conditions and the P&O algorithm inability to track the MPP in case of PSC. The IP&O algorithm meets its mentioned goals by combining two algorithms that include: the optimized hill-climbing MPPT method (dP-P&O) and the checking algorithm. Keywords: Photovoltaic, Maximum Power Point Tracking, Maximum Power Point, Perturb and Observe, Partial Shading Conditions, Steady State Conditions.