A Survey of Control and Energy Management in Hydrogen Production Systems

IF 4.6 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Shadi Khodakaramzadeh;Tayebeh Faghihi;Qobad Shafiee;Pavol Bauer;Hani Vahedi
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引用次数: 0

Abstract

This article provides a comprehensive review of power electronics converter control and energy management for hydrogen production systems through water electrolysis. Hydrogen production from renewable energy sources is a key pathway toward decarbonizing energy systems and enabling large-scale energy storage. Efficient and dependable operation necessitates addressing the dynamic properties of electrolyzers, the intermittent nature of renewable sources, and the coordination among numerous power electronic interfaces. Unlike earlier studies that addressed these aspects separately, this review systematically connects electrolyzer modeling, converter design, control architectures, and energy management to reveal their critical interdependence. By examining these connections, the analysis reveals critical research gaps in real-time coordination, parameter adaptation, and scalable architectures, outlining pathways toward intelligent and grid-independent hydrogen production systems. This review integrates electrolyzer modeling, power converter control algorithms, AC and DC energy hub architectures, hierarchical control schemes, and energy management systems from classical to advanced methods.
制氢系统控制与能源管理综述
本文对水电解制氢系统的电力电子转换器控制和能量管理进行了综述。可再生能源制氢是实现能源系统脱碳和大规模储能的关键途径。高效可靠的运行需要解决电解槽的动态特性、可再生能源的间歇性以及众多电力电子接口之间的协调问题。与早期研究分别解决这些方面不同,本综述系统地将电解槽建模、转换器设计、控制架构和能源管理联系起来,揭示了它们之间关键的相互依存关系。通过检查这些联系,分析揭示了实时协调,参数适应和可扩展架构方面的关键研究差距,概述了智能和电网独立制氢系统的途径。这篇综述整合了电解槽建模、功率变换器控制算法、交流和直流能量集线器架构、分层控制方案和能量管理系统,从经典到先进的方法。
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
期刊介绍: The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.
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