A MIP approach to the yearly scheduling problem of a mixed hydrothermal system

Abstract

This paper presents a mixed-integer optimization approach to the yearly hydrothermal scheduling problem. The proposed method is applied to a hydrothermal system comprising 29 thermal units and 13 hydroplants, including 2 pumped storage plants, similar to the Greek Power System. The generation scheduling model is based on an hourly load curve. Perfect competition assumption is adopted and all thermal generators are assumed to bid their marginal cost. A large mixed-integer programming problem is formulated and implemented in GAMS. Binary variables represent thermal unit hourly commitment status. Results on an hourly basis, including thermal unit commitment and dispatch, hydroplant generation and pumping and system marginal price are presented.