Literature DB >> 26337741

Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems.

Abdelhamid Loukriz1, Mourad Haddadi2, Sabir Messalti3.   

Abstract

Improvement of the efficiency of photovoltaic system based on new maximum power point tracking (MPPT) algorithms is the most promising solution due to its low cost and its easy implementation without equipment updating. Many MPPT methods with fixed step size have been developed. However, when atmospheric conditions change rapidly , the performance of conventional algorithms is reduced. In this paper, a new variable step size Incremental Conductance IC MPPT algorithm has been proposed. Modeling and simulation of different operational conditions of conventional Incremental Conductance IC and proposed methods are presented. The proposed method was developed and tested successfully on a photovoltaic system based on Flyback converter and control circuit using dsPIC30F4011. Both, simulation and experimental design are provided in several aspects. A comparative study between the proposed variable step size and fixed step size IC MPPT method under similar operating conditions is presented. The obtained results demonstrate the efficiency of the proposed MPPT algorithm in terms of speed in MPP tracking and accuracy.
Copyright © 2015 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords:  Dspic30f4011 control circuit; Flyback converter; MPPT experimental design; Modified incremental conductance MPPT algorithm; Variable step size MPPT algorithm

Year:  2015        PMID: 26337741     DOI: 10.1016/j.isatra.2015.08.006

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

1.  Light-Based IoT: Developing a Full-Duplex Energy Autonomous IoT Node Using Printed Electronics Technology.

Authors:  Malalgodage Amila Nilantha Perera; Marcos Katz; Juha Häkkinen; Roshan Godaliyadda
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

2.  Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage.

Authors:  Salah Beni Hamed; Mouna Ben Hamed; Lassaad Sbita; Mohit Bajaj; Vojtech Blazek; Lukas Prokop; Stanislav Misak; Sherif S M Ghoneim
Journal:  Sensors (Basel)       Date:  2022-08-16       Impact factor: 3.847

  2 in total

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