Experiences with mixed integer linear programming based approaches on short-term hydro scheduling

This paper describes experiences with mixed integer linear programming (MIL P) based approaches on the short-term hydro scheduling (STHS) function. The STHS is used to determine the optimal or near-optimal schedules for the di spatchable hydro units in a hydro-dominant system for a user-definable stud y period at each time step while respecting all system and hydraulic constr aints. The problem can be modeled in detail for a hydro system that contain s both conventional and pumped-storage units. Discrete and dynamic constrai nts such as unit startup/shutdown and minimum-up/minimum-down time limits a re also included in the model for hydro unit commitment (HUC). The STHS pro blem is solved with a state-of-the-art package which includes an algebraic modeling language and a MILP solver. The usefulness of the proposed solutio n algorithm is illustrated by testing the problem with actual hydraulic sys tem data. Numerical experiences show that the solution technique is computa tionally efficient, simple, and suit able for decision support of short-ter m hydro operations planning. In addition, the proposed approaches can be ea sily extended for scheduling applications In deregulated environment.