Long-term scheduling of hydro-thermal power systems using scenario fans

• DOI: 10.1007/s12667-010-0020-7
• Publication Date: 2010-11-02T17:48:58Z
• Authors: A. Helseth; B. Mo; G. Warland
• Keywords: Inflow

This paper presents a method for solving the long-term multireservoir hydro-thermal scheduling problem based on stochastic linear programming. Decisions for each week are determined by solving a two-stage stochastic linear programming problem, where reservoir inflow stochasticity for future weeks is represented as a fan of historical inflow records. The overall scheduling problem is then solved as a sequence of such problems. The method is tested on a data set for the Nordic power system, and its performance—in terms of socio-economic surplus, reservoir handling and computation time—is compared with a well established model for solving the identical problem.