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.

这篇研究论文介绍了一种分散调度模型，使用交替方向乘数法来优化模块化电解水厂的运行，以平衡氢的生产与波动的需求，最小化边际氢成本，并确保其对运营干扰的适应性。一项案例验证了该模型在计算标称负载条件下的边际氢成本值的准确性，并展示了它对动态变化的响应能力，比如电解器模块故障和扩展场景。