Probabilistic operational planning using dynamic programming with time-domain simulations

A dynamic programming model with time-domain simulations of contingencies is created to find the least-costly operational strategies according a probabilistic criterion selected preventive and corrective actions. The results show that can identify which appear be satisfactory static analysis, but where system response in violating systems requirements. calculates costs related many possible operating compared models only search parts solution space. This useful for TSOs want use decision support. However, computational times are very limiting due simulations. Consequently, approaches number scenarios or speeding up should investigated. • cost elements power operation evaluated. approach used optimal strategies. finds near-optimal solutions TSOs. Time-domain gives more realistic estimate costs.