Local control laws for fast corrective security-constrained optimal power flow

This paper proposes an approach for computing an optimal power flow jointly with local control laws for quickly-controllable grid assets that enable fast corrective actions after contingencies. While existing corrective security-constrained optimal power flow approaches rely on communication in the post-contingency phase, introducing delays, the proposed control scheme can react almost immediately after contingencies and thus allows for higher line loadings in normal operation. A novel min-max optimization approach based on the DC power flow model minimizes operating costs in the default case while ensuring feasibility even under the worst-case contingency, taking into account the locally controlled corrective actions. The resulting problem is solved via a column-and-constraint generation algorithm. Case studies on the modified IEEE 39-bus system and 118-bus system with additional high-voltage DC lines as quickly-controllable grid assets demonstrate the computational feasibility and economic advantages of the proposed approach. Compared to preventive and traditional corrective dispatch, this approach reduces costs for the 39-bus system by 14 % and 4 %, respectively.