Whale optimization algorithm based MPPT control of a fuel cell system

被引：33

作者：

Percin, Hasan Bektas ^{[1
]}

Caliskan, Abuzer ^{[2
]}

机构：

[1] Firat Univ, TR-23119 Elazig, Turkiye

[2] Firat Univ, Fac Engn, Dept Elect & Elect Engn, TR-23119 Elazig, Turkiye

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2023年 / 48卷 / 60期

关键词：

Whale optimization algorithm; (WOA); Fuel cell; PEMFC; MPPT; MATLAB; Simulink; POWER POINT TRACKING; SLIDING MODE CONTROL; FUZZY-LOGIC; BOOST CONVERTER;

D O I：

10.1016/j.ijhydene.2023.03.180

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Renewable energy sources have provided a great contribution to global energy demand; However, their intermittent characteristics can cause sustainability and efficiency problems. To handle these, alternative systems are utilized. Among these, proton exchange membrane fuel cells (PEMFCs) stand out with their longer lifecycle, efficient, and costeffective features. However, their performance depends on operating conditions such as temperature, gas pressure, and membrane water content. These nonlinear features require instant and proper control for maximizing efficiency and longer working life. In this study, a whale optimization algorithm (WOA) based maximum power point tracking (MPPT) controller is utilized for a PEMFC system. To validate the proposed controller, the PEMFC system has been analyzed under changing conditions in the MATLAB/Simulink environment. The proposed method has been compared with the other MPPT methods. The results indicate that the proposed controller can provide accurate and fast MPPT performance, less power fluctuations, and higher production efficiency.& COPY; 2023 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：23230 / 23241

页数：12

共 55 条

[1]

Abdi S, 2012, INT J ELECTROCHEM SC, V7, P4192

[2] Maximum power point tracking of a proton exchange membrane fuel cell system using PSO-PID controller [J].

Ahmadi, S. ;

Abdi, Sh. ;

Kakavand, M. .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (32) :20430-20443

[3] Effective parameters' identification for polymer electrolyte membrane fuel cell models using grey wolf optimizer [J].

Ali, M. ;

El-Hameed, M. A. ;

Farahat, M. A. .

RENEWABLE ENERGY, 2017, 111 :455-462

[4] An improved fuzzy logic control-based MPPT method to enhance the performance of PEM fuel cell system [J].

Aly, Mokhtar ;

Rezk, Hegazy .

NEURAL COMPUTING & APPLICATIONS, 2022, 34 (06) :4555-4566

[5] A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells [J].

Aly, Mokhtar ;

Rezk, Hegazy .

IEEE ACCESS, 2020, 8 :172219-172232

[6] A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: bird mating optimizer [J].

Askarzadeh, Alireza ;

Rezazadeh, Alireza .

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2013, 37 (10) :1196-1204

[7] Grey Wolf Optimization Based MPPT Algorithm for Solar PV System with SEPIC Converter [J].

Atici, Koray ;

Sefa, Ibrahim ;

Altin, Necmi .

2019 4TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND THEIR APPLICATIONS (ICPEA), 2019,

[8] Ingenious golden section search MPPT algorithm for PEM fuel cell power system [J].

Bahri, Hamza ;

Harrag, Abdelghani .

NEURAL COMPUTING & APPLICATIONS, 2021, 33 (14) :8275-8298

[9]

Ben Smida Mouna, 2018, ADV SYSTEM DYNAMICS, P58, DOI [10.4018/978-1-5225-4077-9.ch003, DOI 10.4018/978-1-5225-4077-9.CH003]

[10] An adaptive fuzzy logic controller (AFLC) for PEMFC fuel cell [J].

Benchouia, Nedjem Eddine ;

Derghal, Abdallah ;

Mahmah, Bouziane ;

Madi, Belgacem ;

Khochemane, Lakhdar ;

Aoul, Elias Hadjadj .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2015, 40 (39) :13806-13819

← 1 2 3 4 5 6 →