With the increasing frequency of extreme weather disasters, urban power grids are vulnerable to topology disruptions and to the frequency-security risks associated with weather-induced line outages and post-contingency operating disturbances. To enhance frequency support in pre-disaster preventive dispatch, this paper proposes a method for pre-disaster preventive dispatch in urban power grids considering frequency support from hydrogen energy systems. First, considering the virtual inertia control and primary frequency regulation characteristics of fuel cells and electrolyzers, a system frequency dynamic response model is constructed, and constraints on the maximum rate of change of frequency, maximum frequency deviation, and quasi-steady-state frequency deviation are established. Second, with the objective of minimizing the cost of pre-disaster preventive dispatch and the expected load-shedding loss under fault scenarios, an optimization model is developed by considering generator output adjustments, hydrogen energy system operation, preventive load shedding, and frequency-regulation reserve allocation. Finally, the problem is formulated as a Markov decision process and solved using the Soft Actor–Critic (SAC) algorithm. Case studies on the modified IEEE 39-bus and IEEE 118-bus systems show that the proposed method can reduce load-shedding loss, improve online decision speed and promote compliance with the prescribed frequency-security limits under the investigated scenarios and evaluation protocol.
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Li et al. (2026) studied this question.
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