Power Systems Engineering and Mathematics: International Series of Monographs in Electrical Engineering

U. G. Knight

ISBN 10: 1483123995 / ISBN 13: 9781483123998

Published by Pergamon, 2013

About this Item

294 pages. 8.50x5.75x0.67 inches. In Stock.

Seller Inventory # zk1483123995

Bibliographic Details

• Title: Power Systems Engineering and Mathematics: International Series of Monographs in Electrical Engineering
• Publisher: Pergamon
• Publication Date: 2013
• Language: English
• ISBN 10: 1483123995
• ISBN 13: 9781483123998
• Binding: Paperback
• Condition: Brand New
• Weight: 0.47 kilograms

About this title

Synopsis

Power Systems Engineering and Mathematics investigates the application of mathematical aids, particularly the techniques of resource planning, to some of the technical-economic problems of power systems engineering. Topics covered include the process of engineering design and the use of computers in system design and operation; power system planning and operation; time scales and computation in system operation; and load prediction and generation capacity. This volume is comprised of 13 chapters and begins by outlining the stages in the synthesis of designs (or operating states) for engineering systems in general, as well as some of the mathematical techniques that can be used. The next chapter relates these stages to power system design and operation, indicating the principal factors that determine a power system's viable and economic expansion and operation. The problem of choosing the standards for transmission and distribution plants is then considered, together with the choice of generation (""plant mix"") to meet the total requirement and the sequence of studies and decisions required in system operation. The remaining chapters deal with security assessment, scheduling of a generating plant, and the dispatching of generation. This book is intended for engineers and managers in the electricity supply industry, advanced students of electrical engineering, and workers in other industries with interest in resource allocation problems.