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Power Systems Control and Reliability : Electric Power Design and Enhancement

By: Isa S. Qamber (Author)

Manufacture on Demand

Ksh 33,200.00

Format: Hardback or Cased Book

ISBN-10: 1771888210

ISBN-13: 9781771888219

Publisher: Apple Academic Press Inc.

Imprint: Apple Academic Press Inc.

Country of Manufacture: CA

Country of Publication: GB

Publication Date: Mar 18th, 2020

Publication Status: Active

Product extent: 280 Pages

Weight: 720.00 grams

Product Classification / Subject(s): Power networks, systems, stations & plants

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This new volume, Power Systems Control and Reliability: Electric Power Design and Enhancement, focuses on power systems reliability and generating unit commitments. These reliability techniques are essential in the design and evaluation of the electric power systems for planning, control, and operation.

Focusing on power systems reliability and generating unit commitments, which are essential in the design and evaluation of the electric power systems for planning, control, and operation, this informative volume covers the concepts of basic reliability engineering, such as power system spinning reserve, types of load curves and their objectives and benefits, the electric power exchange, and the system operation constraints. The author explains how the probability theory plays an important role in reliability applications and discusses the probability applications in electric power systems that led to the development of the mathematical models that are illustrated in the book. The algorithms that are presented throughout the chapters will help researchers and engineers to implement their own suitable programs where needed and will also be valuable for students. The Artificial Neural Networks (ANN) and Fuzzy Logic (FL) systems are discussed and a number of load estimation models are built for some cases, where their formulas are developed.



A number of developed models are presented, including the Kronecker techniques, Fourth-Order Runge-Kutta, System Multiplication Method, or Adams Method; and components with different connections and different distributions are presented. A number of examples are explained showing how to build and evaluate power plants.


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