STOCHASTIC OPTIMIZATION OF A HYDROTHERMAL SYSTEM INCLUDING NETWORK CONSTRAINTS

This paper describes a methodology for the optimal scheduling of hydrothermal systems taking into account multiple hydro reservoir characteristics, inflow stochasticity and transmission network represented by a linearized power flow model. The solution algorithm is based on stochastic dual dynamic programming (SDDP), which decomposes the multi-stage stochastic problem into several one stage subproblems. Each subproblem corresponds to a linearized optimal power flow with additional constraints representing the hydro reservoir equations and a piecewise linear approximation of the expected future cost function. Each subproblem is solved by a customized network flow/Dual Simplex algorithm which takes advantage of the network characteristics of the hydro reservoirs and of the transmission system. The application of the methodology is illustrated in a case study with a Brazilian system comprising 44 hydroplants, 11 thermal plants, 463 buses and 834 circuits.