Realisation of incremental conductance the MPPT algorithm for a solar photovoltaic system. Issue 8 (17th November 2018)

• Record Type: Journal Article
• Authors: Ilyas, Afshan; Ayyub, Mohammad; Khan, M. Rizwan; Jain, Abhinandan; Husain, Mohammed Aslam
• Is Part Of: International journal of ambient energy. Volume 39:Issue 8(2018)
• Page Start: 873
• Page End: 884
• Publication Date: 2018-11-17
• Subjects: Solar photovoltaic -- maximum power point tracking -- incremental conductance -- perturb & observe -- Arduino microcontroller -- Matlab/Simulink; Power resources -- Periodicals; Renewable energy sources -- Periodicals; 621.04205
• DOI: 10.1080/01430750.2017.1354322
• Languages: English
• ISSNs: 0143-0750

Abstract

ABSTRACT: This paper presents the modelling, simulation and hardware implementation of the incremental conductance (INC) maximum power point tracking (MPPT) algorithm. The extraction of maximum power from the solar photovoltaic system was made by integrating the PV module with a DC–DC converter and utilising the MPPT algorithm. In this work, the INC MPPT algorithm is practically implemented on an Arduino Uno board to track the maximum power point (MPP) and also simulated in Matlab/Simulink under the same environmental conditions. The performance of the INC algorithm was also compared with the conventional Perturb and Observe (P&O) MPPT algorithm. The experimental and simulation results are provided for both MPPT techniques. Matlab/Simulink was used for simulation studies.