Mathematical programming in electric power capacity investment planning

Abstract

Mathematical programming has long been an important tool for electric utility planners. This paper presents a survey of state-of-the-art mathematical programming methods as applied to electric power capacity expansion planning. The focus is on modelling features which make it possible to investigate important power system issues such as reliability, uncertainty and environmental impacts which linear programming models cannot address without considerable simplification. Solution methodologies are also described.