Reliability Assessment of Electric Power Systems Using Monte Carlo Methods (Hardcover, 1994 ed.)

The application of quantitative reliability evaluation in electric power sys tems has now evolved to the point at which most utilities use these techniques in one or more areas of their planning, design, and operation. Most of the techniques in use are based on analytical models and resulting analytical evaluation procedures. Improvements in and availability of high-speed digi tal computers have created the opportunity to analyze many of these prob lems using stochastic simulation methods and over the last decade there has been increased interest in and use made of Monte Carlo simulation in quantitative power system reliability assessment. Monte Carlo simulation is not a new concept and recorded applications have existed for at least 50 yr. However, localized high-speed computers with large-capacity storage have made Monte Carlo simulation an available and sometimes preferable option for many power system reliability applications. Monte Carlo simulation is also an integral part of a modern undergrad uate or graduate course on reliability evaluation of general engineering systems or specialized areas such as electric power systems. It is hoped that this textbook will help formalize the many existing applications of Monte Carlo simulation and assist in their integration in teaching programs. This book presents the basic concepts associated with Monte Carlo simulation."

General

Imprint:	Kluwer Academic / Plenum Publishers
Country of origin:	United States
Release date:	November 1994
First published:	1994
Authors:	Billinton • W. Li
Dimensions:	229 x 152 x 29mm (L x W x T)
Format:	Hardcover
Pages:	352
Edition:	1994 ed.
ISBN-13:	978-0-306-44781-5
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > General Promotions
LSN:	0-306-44781-9
Barcode:	9780306447815

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!