Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System

Power systems are shifted from conventional bulk generation toward renewable generation. This trend leads to the frequency security problem due decline of system inertia. On other hand, natural gas-fired units frequently scheduled provide operational flexibility their fast adjustment ability. The interdependence between power and gas is thus intensified. In this context, paper considers constrained scheduling perspective an integrated electricity-gas under wind uncertainty. A distributionally robust (DR) joint chance-constrained optimization model proposed co-optimize unit commitment virtual inertia provision farm systems. incorporates both constraints (NGS) addresses uncertainty by designing DR chance constraints. It shown that admits a mixed-integer second-order cone programming. Case studies demonstrate method can highly reliable computationally efficient solution show importance incorporating NGS in problem.