Long-Range Generation Planning Using Generalized Benders' Decomposition: Implementation and Experience

Article Abstract:

A planning model for long range electricity generation expansion is developed. A generalized benders' decomposition methodology is used. It incorporates a probabilistic method for computing production costs and reliability levels. The problem is divided into a master linear program that generates trail expansion plans, and a set of nonlinear subproblems. They compute production cost and system reliability for each trail plan. Results are compared with a dynamic programming model. Numeric results are presented in tables.

Linear programming, Electric power plants, Dynamic programming, Nonlinear programming, Modeling, Data modeling software, Models, Energy, Utilities, Power Plants, Expansion

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Interval Estimation after Sequential Testing Based on the Total Time on Test

Article Abstract:

It is common practice to test hypotheses when a quality control analyst decides whether to accept or reject a product batch. A sequential testing procedure requires less data to reach a decision. If items that fail a test are not replaced and that failure time has a distribution function that is stochastically non-decreasing, then a time truncated sequential procedure can be developed. This procedure allows quick rejection of the null hypothesis. Examples are given.

Quality control, Statistics (Data), Tests, Curve fitting, Testing, Stochastic Model, Statistics, Acceptance Testing

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