大规模可再生能源电解水制氢合成氨关键技术与应用研究进展.
吉旭， 周步祥， 贺革， 邱一苇， 毕可鑫… - … Kexue Yu Jishu, 2022 - search.ebscohost.com
新能源的快速发展为电力和化工行业带来了机遇和挑战, 一方面, 由于可再生能源电力消纳问题
导致大量的弃水, 弃光等能源浪费; 另一方面, 以绿氢为原料替代碳基化石能源合成氨 …
导致大量的弃水, 弃光等能源浪费; 另一方面, 以绿氢为原料替代碳基化石能源合成氨 …
Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models
Utility-scale hydrogen production via alkaline electrolysis (AEL) is a promising pathway
toward the decarbonization of the power, transportation, and chemical industries. The …
toward the decarbonization of the power, transportation, and chemical industries. The …
Flexibility assessment and aggregation of alkaline electrolyzers considering dynamic process constraints for energy management of renewable power-to-hydrogen …
Y Qiu, Y Zhou, S Chen, T Zang, B Zhou - Renewable Energy, 2024 - Elsevier
In the energy management of renewable power-to-hydrogen (ReP2H) systems, quantifying
the flexibility of alkaline electrolyzers (AELs) to respond to fast load-tracking commands and …
the flexibility of alkaline electrolyzers (AELs) to respond to fast load-tracking commands and …
[HTML][HTML] Arbitrary polynomial chaos-based power system dynamic analysis with correlated uncertainties
This paper proposes a novel method based on arbitrary Polynomial Chaos (aPC) to
evaluate how parameter and variable uncertainty impacts on the dynamic response of …
evaluate how parameter and variable uncertainty impacts on the dynamic response of …
Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels
Abstract Three-dimensional (3D) multiphysics models are powerful tools for investigating the
distributions of physical quantities such as temperature inside solid oxide cell (SOC) stacks …
distributions of physical quantities such as temperature inside solid oxide cell (SOC) stacks …
Multilayer online sequential reduced kernel extreme learning machine-based modeling for time-varying distributed parameter systems
C Zhu, H Yang, X Jin, K Xu, H Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A significant number of industrial dynamic processes belong to time-varying distributed
parameter systems (DPSs). To develop an accurate approximation model for these systems …
parameter systems (DPSs). To develop an accurate approximation model for these systems …
Online identification of a link function degradation model for solid oxide fuel cells under varying-load operation
Prognostic is a potential tool for improving the durability of solid oxide fuel cells (SOFCs),
which usually involves building a degradation model for prediction. However, the existing …
which usually involves building a degradation model for prediction. However, the existing …
Probabilistic Frequency Stability Analysis Considering Dynamics of Wind Power Generation with Different Control Strategies
Z Wang, S Bu - IEEE Transactions on Power Systems, 2024 - ieeexplore.ieee.org
Most existing studies on probabilistic frequency stability analysis ignore the dynamics of
wind power generations (WPGs) and thus result in inaccurate analysis results especially …
wind power generations (WPGs) and thus result in inaccurate analysis results especially …
Continuous random process modeling of AGC signals based on stochastic differential equations
Reflecting the uncertainty of renewable energy generations and loads, power system AGC
signals are essentially random processes. For the sake of the optimal operation and control …
signals are essentially random processes. For the sake of the optimal operation and control …
Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station
Large-scale power-to‑hydrogen (P2H) stations with multi-stack configurations, are emerging
as valuable flexible resources for the power grid. The energy management strategy (EMS) …
as valuable flexible resources for the power grid. The energy management strategy (EMS) …