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Stability-constrained Two-stage Robust Optimization for Integrated Hydrogen Hybrid Energy System

机译:用于集成氢气能量系统的稳定约束的两级鲁棒优化

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摘要

In order to cope with the challenges brought by multiple uncertainties to integrated hydrogen hybrid energy systems, a stability-constrained two-stage robust optimization method considering small disturbance stability and characteristics of dynamic response is proposed in this paper. In the first operating stage, the charging/discharging state of the battery and the start-stop state of the electrolyzer and fuel cell are determined. Then, power constraints for stabilizing ESSs power output is considered between the first and second stage optimization to improve the small disturbance stability of the robust operation plan. Then, the goal of minimizing the operation cost and determine a robust operation operating plan under the worst case is conducting in the second stage optimization. Through the small-signal model with time-delay effect, the eigenvalue analysis method is used to find the ESSs power range, and the small-signal stability of obtained robust operation plan can be enhanced. Finally, the effectiveness and superiority of the proposed method are proved by comparing with the traditional static robust optimization method. Impacts of uncertain parameters on economy and stability are also investigated in a typical example.
机译:为了应对多种不确定因子对集成氢气能源系统带来的挑战,提出了考虑小扰动稳定性和动态响应特性的稳定受约束的两阶段鲁棒优化方法。在第一操作阶段,确定电池的充电/放电状态和电解槽和燃料电池的起动状态。然后,在第一和第二阶段优化之间考虑用于稳定ESS功率输出的功率约束,以提高鲁棒操作计划的小扰动稳定性。然后,在最坏情况下最小化操作成本并确定最稳健的操作操作计划的目标是在第二阶段优化中进行。通过具有时间延迟效果的小信号模型,特征值分析方法用于找到ESSS功率范围,可以提高获得的鲁棒操作计划的小信号稳定性。最后,通过与传统的静态稳健优化方法相比,证明了所提出的方法的有效性和优越性。在典型的例子中还研究了不确定参数对经济性和稳定性的影响。

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