A Multi-Agent Approach for the Optimized Operation of Modular Electrolysis Plants

Vincent Henkel (), Lukas Peter Wagner, Maximilian Kilthau, Felix Gehlhoff and Alexander Fay
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Vincent Henkel: Institute of Automation Technology, Helmut-Schmidt-University, 22043 Hamburg, Germany
Lukas Peter Wagner: Institute of Automation Technology, Helmut-Schmidt-University, 22043 Hamburg, Germany
Maximilian Kilthau: Institute of Automation Technology, Helmut-Schmidt-University, 22043 Hamburg, Germany
Felix Gehlhoff: Institute of Automation Technology, Helmut-Schmidt-University, 22043 Hamburg, Germany
Alexander Fay: Chair of Automation, Ruhr University, 44801 Bochum, Germany

Energies, 2024, vol. 17, issue 14, 1-33

Abstract: In response to the energy transition to renewable resources, green hydrogen production via electrolysis is gaining momentum. Modular electrolysis plants provide a flexible and scalable solution to meet rising hydrogen demand and adapt to renewable energy fluctuations. However, optimizing their operation poses challenges, especially when dealing with heterogeneous electrolyzer modules. In this work, a combination of decentralized Multi-Agent Systems and the Module Type Package concept is presented that enhances the cost-optimized operation of modular electrolysis plants. This approach synergizes the individual strengths of Multi-Agent Systems in handling complex operational dynamics with the efficiency of the Module Type Package for integration and control capabilities. By integrating these technologies, the approach addresses the heterogeneity of electrolyzer modules and increases the adaptability, scalability, and operational flexibility of electrolysis plants. The approach was validated through a case study, demonstrating its effectiveness in achieving cost-optimized load scheduling, dynamic response to demand–supply fluctuations, and resilience against electrolyzer module malfunctions. In summary, the presented approach offers a comprehensive solution for the effective coordination and optimization of modular electrolysis plants.

Keywords: modular electrolysis plants; module type package; multi agent system; scheduling; hydrogen (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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