A Hybrid Time Scale Production Simulation Method for Electricity-Hydrogen Integrated Energy Systems
Youxin Chen, Kuan Zhang, Nian Liu
North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
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摘要与影响
This paper proposes a hybrid time scale time-series production simulation (TPS) method considering the interplay between electricity-hydrogen energy, aiming at enhancing the operational economy and grid compatibility of electricity-hydrogen integrated energy systems (EHESs). The “efficiency-power-time” characteristics of green hydrogen production from renewable energy sources (RESs) are revealed to facilitate the stable supply of hydrogen, and an electrolyzer lifespan degradation model is developed to quantify the impact of fluctuating electrolysis power. A hybrid time scale electricity-hydrogen cooperative TPS model over 8760h is constructed, where a state-space matrix is formulated to describe the energy production, conversion and storage within the EHESs. To efficiently solve this high-dimensional TPS model, an inertia-accelerated parallel computing algorithm of dynamic adaptive multipliers (IADPC) considering the annual temporal order preservation is designed to divide the 8760-hour period into smaller sub-periods, where inertial acceleration iteration direction is calculated through a linear combination of iteration directions from the neighboring iterations and multipliers adaptively adjust the penalty factor size. Moreover, a matrix decomposition method based on Givens rotation is developed to transform the complex electricity-hydrogen coupling state-space matrix into the upper triangular and orthogonal matrices for further dimensionality reduction. Comparative case studies have validated the superiority of the proposed methodology on economic operation performance and grid compatibility of EHESs.
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工程Hybrid Renewable Energy Systems
Integrated Energy Systems Optimization · Electric Power System Optimization
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