This paper presents a new approach for the dynamic security assessment based on the improvement of an index that represents the current probabilistic risk level of the electric grid operation. The index is based on a comprehensive analysis where several electromechanical simulations are performed, considering uncertainties regarding topological configurations, load levels, intertie flows, as well as several different types, locations and duration of faults. These simulations based on detailed models allow for a more accurate performance evaluation of the power system. The optimization process is based on the metaheuristic called Particle Swarm algorithm.
metaheuristic; power system; stochastic dynamic security; electrical energy
