Neural Computing and Applications

, Volume 31, Issue 10, pp 6331–6344 | Cite as

Fuzzy logic controller-based MPPT for hybrid photo-voltaic/wind/fuel cell power system

  • Mohammad Junaid KhanEmail author
  • Lini Mathew
Original Article


The non-conventional energy sources possess a major problem of power reliability due to their dependencies on the environment. Advance research and development in solar, wind and other renewable energy sources are needed to solve the problem of power demand and reliability. The proposed hybrid system incorporates three renewable energy systems consisting of photo-voltaic (PV), wind turbine (WT) and fuel cell (FC) systems working together to provide maximum power at DC-link. A vast deal of novel research is done for improving the efficiency of an overall system using maximum power point tracking (MPPT) method. In this paper, the developed fuzzy logic controller (FLC)-based MPPT method has been used to analyze PV, WT and FC with DC–DC converters. The FLC-based MPPT control method optimizes the output of the proposed hybrid system with variable inputs to extract maximum power. In order to fabricate a reliable hybrid system, there is a massive scope of research to develop multi-input renewable energy systems.


MPPT Fuzzy logic controller (FLC) Solar photo-voltaic (SPV) Wind generator (WG) Fuel cell (FC) DC-link 


Compliance with ethical standards

Conflict of interest

All the authors declare that they have no conflict of interest.


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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Institute of Technical Teachers Training and ResearchChandigarhIndia

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