Learn More
— Long-term hydrothermal generation planning (LTHTP) problems have been traditionally conceived as minimum cost-based optimization models. However, such policy may lead to unacceptable amounts of load curtailment in critical inflow scenarios, which are likely to be avoided. This paper describes a direct approach for the implementation of a Conditional(More)
The mid-term operation planning of hydro-thermal power systems needs a large number of synthetic sequences to represent accurately stochastic streamflows. These sequences are generated by a periodic autoregressive model. If the number of synthetic sequences is too big, the optimization planning problem may be too difficult to solve. To select a small set of(More)
Power generation planning in hydrothermal systems is a complex optimization task, specially due to the high uncertainty in the inflows to hydro plants. Since it is impossible to traverse the huge scenario tree of the multistage problem, stochastic dual dynamic programming (SDDP) is the leading technique to solve it, originally from an expected-cost(More)
  • 1