A new maximum power point tracking method for PEM fuel cell power system based on ANFIS with modified manta ray foraging algorithm

Author:

Ali Ziad M.,Al-Dhaifallah Mujahed,Al-Gahtani Saad F.,Muranaka Tetsuya

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference43 articles.

1. An efficient short-term energy management system for a microgrid with renewable power generation and electric vehicles;AL-Dhaifallah;Neural Computing and Applications,2021

2. A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems;Al-Majidi;International Journal of Hydrocarbon Engineering,2018

3. Improved performance of a PV solar panel with adaptive neuro fuzzy inference system ANFIS based MPPT;Amara,2018

4. Distributed generation system control strategies with PV and fuel cell in microgrid operation;Bai;Control Engineering Practice,2016

5. A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers;Bayat;International Journal of Hydrocarbon Engineering,2020

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