Predictive-TOPSIS-based MPPT for PEMFC Featuring Switching Frequency Reduction

Q3 Mathematics

Indonesian Journal of Electrical Engineering and Informatics Pub Date : 2023-08-19 DOI:10.52549/ijeei.v11i3.4350

Jye Yun Fam, Shen Yuong Wong, Mohammad Omar Abdullah, Kasumawati Lias, Saad Mekhilef, Hazrul Mohamed Basri

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引用次数: 0

Abstract

A maximum power point tracking (MPPT) for a proton exchange membrane fuel cell (PEMFC) using a combination of conventional finite control set model predictive control (FCS-MPC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed in this paper. The key idea is to maximize the power generation from a PEMFC while minimizing the switching frequency of the power converter. The FCS-MPC technique is formulated to track the maximum power of PEMFC highly affected by ever-changing internal parameters. Meanwhile, the TOPSIS algorithm is applied to overcome the potential weaknesses of insulated-gate bipolar transistor (IGBT), which can only withstand a lower switching frequency. In this project, all simulations were run using MATLAB software to display the output power of the PEMFC system. As a result, the proposed predictive-TOPSIS-based MPPT algorithm can track the MPP for various PEMFC parameters within 0.019 s with an excellent accuracy up to 99.11%. The proposed MPPT technique has fast-tracking of the MPP locus, excellent accuracy, and robustness to environmental changes.

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基于topsis预测的开关降频PEMFC MPPT

提出了一种结合传统有限控制集模型预测控制(FCS-MPC)和理想解相似偏好排序技术(TOPSIS)的质子交换膜燃料电池(PEMFC)最大功率点跟踪方法。其关键思想是最大化PEMFC的发电量，同时最小化功率转换器的开关频率。FCS-MPC技术用于跟踪受内部参数变化影响较大的PEMFC的最大功率。同时，利用TOPSIS算法克服了绝缘栅双极晶体管(IGBT)只能承受较低开关频率的潜在弱点。在本项目中，所有仿真都使用MATLAB软件运行，以显示PEMFC系统的输出功率。结果表明，基于topsis预测的MPPT算法可以在0.019 s内跟踪各种PEMFC参数的MPP，准确率高达99.11%。所提出的MPPT技术具有快速跟踪MPP位点、良好的准确性和对环境变化的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Indonesian Journal of Electrical Engineering and Informatics Computer Science-Computer Science (miscellaneous)

CiteScore

1.50

自引率

0.00%

发文量

期刊介绍： The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation. Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction. Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging. Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems. Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data).