Architecture of the hydrogen production control system at the hydrogen power plant

   Hydrogen is widely considered as a "clean" source of energy in the conditions of the energy transition agenda. The paper proposes a model of automation of so-called "green" hydrogen production on the basis of hydroelectric power plants. Hydrogen production by means of HPPs is ensured by the presence of dips in the schedule of daily energy consumption, which ensures the use of reserve capacities of HPPs. Hydrogen is produced by electrolysis using an electrolyzer and RES energy. In order to optimize the production, ap-hardware sensors located in the electrolyzer and in the dam of the HPP are integrated with each other for data collection, which entails a corresponding reengineering of the information system supporting the energy production process. Also on the basis of data analysis and application of machine learning methods the optimal level of hydrogen production will be found taking into account the available amount of energy from RES. The result of the article is a set of model descriptions of the architecture of the hydrogen production system at the hydroelectric power plant during the period of power consumption failure, which can be realized due to flexible management of reserve capacity on the basis of IoT and machine learning.

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