skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Generation expansion planning: an analysis of techniques to expedite the approach to an optimal solution

Thesis/Dissertation ·
OSTI ID:6340949

The subject of this dissertation is an analysis of techniques which can be used to expedite the approach to an optimal plan for the installation of new generating units in an electric utility system, using the WASP (Wein Automatic System Planning) program. The objectives are three-fold: to present the details and results of a sensitivity study performed using WASP; to analyze and overcome the logistical problems resulting in the excessive computation time required to complete a generation expansion study using WASP; and to compare WASP's results with those of another widely used generation expansion planning program - OGP (Optimized Generation Planning) - and to analyze how the differing modelling methodologies impact those results. The first objective was accomplished by providing a detailed description of the collection and preparation of input data for a sensitivity study and by reporting on trends noted when various economic and peak load growth data were varied. Accomplishment of the second objective led to the demonstration of three techniques for expediting WASP analyses, namely: employing a yearly optimization scheme, involving the weighting of the objective function with estimated operation and capital costs incurred during a static operation period, to arrive at an initial expansion plan; modelling generating units as a single block of capacity in order to decrease computation time with little sacrifice in precision; and using the static operation period to reduce end effects of the dynamic optimization. The third objective was accomplished through the comparison of the results of a sample planning study carried out using both WASP and OGP. Despite several areas in which modelling methodologies differed, startingly similar results were obtained.

OSTI ID:
6340949
Resource Relation:
Other Information: Thesis (Ph. D.)
Country of Publication:
United States
Language:
English