Transactions on Machine Intelligence 2821-1693 3 3 2020 09 01 Comparison of Maximum Power Point Tracking Algorithms in the Presence of Boost and SEPIC Converters 165 175 208996 10.47176/TMI.2020.165 EN A. Azadian Ph.D. student in Electrical Engineering, Imam Khomeini International University, Qazvin, Iran Journal Article 2020 06 04 The Maximum Power Point Tracking (MPPT) control system is a method that can bring a photovoltaic (PV) system closer to its maximum achievable efficiency. Given the various algorithms and classifications available, comparing methods in a specific situation can help select the appropriate algorithm. This paper first provides a comprehensive categorization of MPPT methods and then tracks the maximum power point using three algorithms: P&O, IC, and Fuzzy-PI, in the presence of Boost and SEPIC converters. The P&O, IC, and Fuzzy-PI algorithms are executed once with the Boost converter and once with the SEPIC converter. In both cases, the accuracy and speed of tracking the algorithms and the impact of the converters on output power are examined. By comparing oscillations around the desired point and the settling time in each scenario, the use of a PI algorithm, with coefficients calculated by the Fuzzy method and applied to the SEPIC converter, demonstrates better performance than others. Analysis and simulation of the system were conducted using the Simulink unit in MATLAB software. https://www.tmachineintelligence.ir/article_208996_027b124f9aee2730cd1b6f216da32872.pdf