Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules

Anusha Kumaresan, Hossein Dehghani Tafti, Glen G. Farivar, Naga Brahmendra Yadav Gorla, Neha Beniwal, Josep Pou

Research output: Chapter in Book/Conference paperConference paperpeer-review

3 Citations (Scopus)

Abstract

Power grids with increased penetration of photo-voltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.

Original languageEnglish
Title of host publication2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9798350399882
DOIs
Publication statusPublished - 2022
Event7th IEEE Southern Power Electronics Conference, SPEC 2022 - Nadi, Fiji
Duration: 5 Dec 20228 Dec 2022

Publication series

Name2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

Conference

Conference7th IEEE Southern Power Electronics Conference, SPEC 2022
Country/TerritoryFiji
CityNadi
Period5/12/228/12/22

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