  In response to the global shift towards renewable energy resources, the
production of green hydrogen through electrolysis is emerging as a promising
solution. Modular electrolysis plants, designed for flexibility and
scalability, offer a dynamic response to the increasing demand for hydrogen
while accommodating the fluctuations inherent in renewable energy sources.
However, optimizing their operation is challenging, especially when a large
number of electrolysis modules needs to be coordinated, each with potentially
different characteristics.
  To address these challenges, this paper presents a decentralized scheduling
model to optimize the operation of modular electrolysis plants using the
Alternating Direction Method of Multipliers. The model aims to balance hydrogen
production with fluctuating demand, to minimize the marginal Levelized Cost of
Hydrogen (mLCOH), and to ensure adaptability to operational disturbances. A
case study validates the accuracy of the model in calculating mLCOH values
under nominal load conditions and demonstrates its responsiveness to dynamic
changes, such as electrolyzer module malfunctions and scale-up scenarios.
