Comparative study of maximum power point tracking techniques for hybrid renewable energy system. Issue 8 (3rd August 2019)

• Record Type: Journal Article
• Authors: Khan, Mohammad Junaid; Mathew, Lini
• Is Part Of: International journal of electronics. Volume 106:Issue 8(2019)
• Page Start: 1216
• Page End: 1228
• Publication Date: 2019-08-03
• Subjects: Solar photovoltaic (PV) -- wind turbine (WT) -- fuel cell (FC) -- hybrid system (HS) -- MPPT; Electronics -- Periodicals; Electronic control -- Periodicals; 621.381
• DOI: 10.1080/00207217.2019.1584917
• Languages: English
• ISSNs: 0020-7217

Abstract

ABSTRACT: The power generation demand is increasing day-by-day throughout the world, therefore, the use of hybrid systems becomes a significant solution. The hybrid renewable energy system (HRES) is used for delivering power in various regions in order to overcome intermittence of wind and solar resources. Because of increasing environmental problems, for example, greenhouse gas emission and energy cost have interested novel research into substitute methods in favour of electrical power generation. Maximum Power Point Tracking (MPPT) control method is a vast deal of novel research used for enhancing the efficiency of HRES. The authors have revealed that the hybrid techniques i.e . Global MPPT, fuzzy-neuro systems, Adaptive Neuro-Fuzzy Inference System (ANFIS), Perturbed and Observe (P&O) + Adaptive Neural Network (ANN) etc. can provide best results as compared to other MPPT control methods. This paper offering a state of art review of MPPT control techniques for HRES.