Envisioning security control in renewable dominated power systems through stochastic multi-period AC security constrained optimal power flow

The accelerated penetration rate of renewable energy sources (RES) brings environmental benefits at the expense increasing operation cost and undermining satisfaction N-1 security criterion in transmission systems. To address latter issue, this paper envisions control RES dominated power systems through stochastic multi-period AC constrained optimal flow (SCOPF). extends state-of-the-art, i.e. deterministic single time period SCOPF, to capture two new dimensions, stochasticity multiple periods, as well emerging flexibility such flexible loads (FL) storage (ESS). Accordingly, proposes solves for first a problem formulation form SCOPF (S-MP-SCOPF). S-MP-SCOPF is formulated non-linear programming (NLP) problem. It computes setpoints resources other conventional means congestion management voltage day-ahead operation. As another salient feature, proposed model comprehensive accurate, using: both pre-contingency post-contingency states, inter-temporal constraints FL ESS 24-hours horizon uncertainties. importance performance limitation direct approach, pushing size up solver limit, are illustrated on test 5 nodes 60 nodes, respectively. For node system, largest successful case can manage 30 scenarios solved 22,110 s. Future work will develop tractable solution algorithm. • supply future. extended security-constrained flow. extensions include uncertainties (loads storage). optimization millions variables edge. benchmarked fostering comparison reproducibility.