To improve the economic performance of such hybrid power plants in the electricity-hydrogen coupled market
an in-depth study is conducted on the scheduling and trading strategies of hybrid power plants participating in the day-ahead market. First
a two-stage optimal operation framework based on a dual-settlement mechanism is established
and stochastic optimization methods are employed to effectively handle uncertainties in hybrid power plants. Second
a piecewise linearization technique is adopted to fit the hydrogen production efficiency curve
enabling optimal efficiency scheduling of electrolyzers. In addition
a coordinated operation strategy for multiple electrolyzers is designed to effectively extend the service life of the electrolyzers. Finally
simulation case studies demonstrate that the proposed model can effectively achieve coordinated regulation and optimal operation of renewable electricity trading and hydrogen production through the coupled optimization of energy storage systems and electrolyzers
thereby verifying the effectiveness and rationality of the model.
VARELA C, MOSTAFA M, ZONDERVAN E.Modeling alkaline water electrolysis for power-to-x applications: a scheduling approach[J]. International journal of hydrogen energy, 2021, 46(14): 9303-9313.
LETTENMEIER P.Efficiency-electrolysis[J]. Siemens Energy Global GmbH Co. KG, München, Germany, White Paper, 2021.
ZHENG Y, YOU S, BINDNER H W, et al.Optimal day-ahead dispatch of an alkaline electrolyser system concerning thermal-electric properties and state-transitional dynamics[J]. Applied energy, 2022, 307: 118091.
SÁNCHEZ M, AMORES E, ABAD D, et al. Aspen Plus model of an alkaline electrolysis system for hydrogen production[J]. International journal of hydrogen energy, 2020, 45(7): 3916-3929.
ULLEBERG Ø.Modeling of advanced alkaline electrolyzers: a system simulation approach[J]. International journal of hydrogen energy, 2003, 28(1): 21-33.
SÁNCHEZ M, AMORES E, RODRÍGUEZ L, et al. Semi-empirical model and experimental validation for the performance evaluation of a 15 kW alkaline water electrolyzer[J]. International journal of hydrogen energy, 2018, 43(45): 20332-20345.
BAUMHOF M T, RAHELI E, JOHNSEN A G, et al.Optimization of hybrid power plants: when is a detailed electrolyzer model necessary?[C]//2023 IEEE Belgrade PowerTech. Belgrade, Serbia, 2023: 1-10.
LU J L, HUANG D Y, REN H.Data-driven source-load robust optimal scheduling of integrated energy production unit including hydrogen energy coupling[J]. Global energy interconnection, 2023, 6(4): 375-388.