  We consider the problem of hydrogen storage integration in microgrids to
improve the electricity supply resilience. Nonlinear effects from
electrochemical models of electrolyzers and fuel cells for hydrogen storage are
considered, making scheduling under the nonlinear model intractable and the
conventional linear approximation infeasible. A piecewise linear model
approximation with feasibility projection is proposed, resulting in a
computationally efficient model predictive control for hydrogen storage
operation. Several resilience performance measures, such as loss-of-load,
duration-of-outage, and system cost, are used in performance evaluation.
Simulations for the proposed optimization demonstrated a 13%-48% reduction in
duration-of-outage, a 6.4%-21.7% reduction in system cost, and a 95% reduction
in loss-of-load for critical loads compared to the scheduling algorithm
involving linear model approximation. The performance gap of the proposed
optimization to the benchmark involving the accurate nonlinear electrochemical
model is less than 1% in most metrics.
