Abstract
Abstract Long range energy generation planning encompasses multiple, often time conflicting, objectives. uncertainties, and risks. In this paper, we illustrate how these aspects can be explicitly integrated into the long-range generation planning process using multiattribute utility theory for measuring an electric utility's objectives and dynamic programming to optimize the choice of an expansion policy. A dynamic programming solution approach can be utilized when the electric utility's underlying preference structure is represented by an additive multiattribute value or utility function.
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