Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming

Abstract

A first-order differential dynamic programming (DDP) algorithm is used for computing optimal control for a five-reservoir system, where the stochastic inflow process has been approximated by a few discrete disturbance values in each time step. The method is found to be faster than linear programming, previously tried on the same system model