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• W128401424 abstract "This research is concerned with developing software tools for finding optimal resource expansion plans for large scale power systems. An acceptable expansion plan must be capable of reliably supplying demand in the face of uncertainty about future demand and availability of generators and transmission lines due to equipment failures. The incorporation of uncertainty into the resource planning model of an electric power system is essential. Unfortunately, the number of possible contingencies that must be hedged against can run in the millions. There are no off-the-shelf algorithms available to solve the problem in general. This report, nevertheless, shows how these problems, though very very large in size can be solved by applying improved methods such as decomposition techniques in combination with importance sampling and the exploitation of advanced computer technologies (parallel processors). The methodology is described and applied to a stochastic version of the Western Resource Planning Model for the west coast. Experimental results are presented. 2 refs., 5 figs., 6 tabs." @default.
• W128401424 created "2016-06-24" @default.
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• W128401424 date "1989-08-01" @default.
• W128401424 modified "2023-09-29" @default.
• W128401424 title "Decomposition techniques for multi-area generation and transmission planning under uncertainty: Final report" @default.
• W128401424 hasPublicationYear "1989" @default.
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