Stochastic Simulation and Monte Carlo methods applied to the assessment of hydro-thermal generating system operation |
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Authors: | J Román Ubeda R N Allan |
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Institution: | (1) Instituto de Investigación Tecnológica, Universidad Pontificia de Comillas, Fernando el Católico 63 Dupl, 28015 Madrid, Spain;(2) Manchester Centre for Electrical Energy, UMIST, Sackville Street, PO BOX 88, M60 1QD Manchester, England |
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Abstract: | Summary Simulation can be defined as a numerical technique for conducting experiments on a digital computer, which involves certain
types of mathematical and logical models that describe the behaviour of a system over extended periods of real time. Simulation
is, in a wide sense, a technique for performing sampling experiments on a model of the system. Stochastic simulation implies
experimenting with the model over time including sampling stochastic variates from probability distributions. This paper describes
the main concepts of the application of Stochastic Simulation and Monte Carlo methods to the analysis of the operation of
electric energy systems, in particular to hydro-thermal generating systems. These techniques can take into account virtually
all contingencies inherent in the operation of the system. Also, the operating policies that have an important effect on the
performance of these systems can be realistically represented. |
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Keywords: | Stochastic Simulation Monte Carlo Hydro-Thermal Systems |
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