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The operational flexibility of industrial power-to-hydrogen (P2H) plantsenables admittance of volatile renewable power and provides auxiliaryregulatory services for the power grid. Aiming to extend the flexibility of theP2H plant further, this work presents a scheduling method by consideringdetailed process constraints of the alkaline electrolyzers. Unlike existingworks that assume constant load range, the presented scheduling framework fullyexploits the dynamic processes of the electrolyzer, including temperature andhydrogen-to-oxygen (HTO) crossover, to improve operational flexibility. Varyingenergy conversion efficiency under different load levels and temperature isalso considered. The scheduling model is solved by proper mathematicaltransformation as a mixed-integer linear programming (MILP), which determinesthe on-off-standby states and power levels of different electrolyzers in theP2H plant for daily operation. With experiment-verified constraints, a casestudy show that compared to the existing scheduling approach, the improvedflexibility leads to a 1.627% profit increase when the P2H plant is directlycoupled to the photovoltaic power.

Extended Load Flexibility of Industrial P2H Plants: A Process Constraint-Aware Scheduling Approach