Abstract
This paper demonstrates an approach for solving the planning problem of introducing natural gas as a new major generating source in the Swedish electric power system. This is a large-scale multi-objective planning problem in an uncertain environment. The multi-objective problem is divided into several phases, each dealing with a specific part of the overall problem. The tasks of generating different objectives as well as uncertain variables and feasible plans are addressed. It is discussed how sensitivity analysis can reduce the number of uncertainties and objectives. Models are built in order to relate outcomes to different plans and uncertain variables. Existing methods for encoding uncertainties as well as finding a set of best plans from all specified are incorporated into the presented framework, Finally, a method for estimating the value of reducing the uncertainty is described.
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