A Risk-Constrained Stochastic Dynamic Programming Approach To The Operation Planning Of Hydrothermal Systems

This work presents a new approach to tlhee problem of finding opcperating strategies for a hydthermalro power generating system. The objective is to minimize the expected thermal generating costs subject to prbabilistic constraints on the failure to supply the energy load. The problem is solved by a stochastic dynamic programing algorithm with nested reliability constraints fromcn each stage to the end of the planning period. A decomacposition approach is used to extend the methodology to the operation of two interconnmected systems. Case studies with the South and Southeast Brazilian generating systems are presented and discussed.