An energy approach to optimal selection of control inputs in power systems

The paper presents an energy approach based on controllability gramian for the optimal selection of control inputs in large-scale power systems. This approach consists in solving a stochastic optimization problem based on scenarios reflecting various operational situations (load changes, line tripping, ...). This approach may be regarded as part of a structural optimization procedure aiming at defining some new control systems in the context of security improvements of large-scale power systems. Applications to both a “two-area system” and a “118 buses system” give very promising results.