CVaR-Wasserstein Metric Based Power System Scheduling Considering Frequency Support of Hydrogen Production Stations

The increasing penetration of renewable energy sources (RES) results in a significant reduction in system inertia and primary frequency response (PFR) reserve and an increase in frequency instability risks caused by power imbalances. The Hydrogen production station (HPS) equipped with virtual synchronous machine control is capable of providing virtual inertia and PFR support. However, it is difficult to efficiently formulate and determine the power system dispatching schedule considering the frequency support from HPS while satisfying power and hydrogen balance. A CVaR-Wasserstein metric based distributionally robust scheduling model is proposed. The frequency security constraints are formulated considering the virtual inertia and PFR support provided by HPS. The CVaR-Wasserstein metric ambiguity set is constructed to address the RES uncertainty. Case studies using the modified IEEE-118 and IEEE-300 test systems demonstrate the effectiveness of the proposed model. The results show that the frequency support provided by HPS can effectively reduce the requirement on inertia and PFR provided by synchronous generators and the operating cost of power systems.