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Optimal Power Flow Using ­Evolutionary Algorithms
Advances in Computer and Electrical Engineering

Rating
Format
Hardback, 323 pages
Published
United States, 1 September 2018

In today’s society, modern power grids are driven closer to transfer capacities due to increased consumption and power transfers, endangering the security of the systems. Providing methods in controlling variables to minimize costs, transmission loss, and voltage deviation of power system operation yields valuable economic information and insight into power flow.

Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. Featuring coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems, this book is ideally designed for engineers, power system developers, academicians, and researchers seeking current research on emerging techniques in achieving quality power under normal operating conditions.


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Ships from UK Estimated delivery date: 6th Jun - 13th Jun from UK
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Product Description

In today’s society, modern power grids are driven closer to transfer capacities due to increased consumption and power transfers, endangering the security of the systems. Providing methods in controlling variables to minimize costs, transmission loss, and voltage deviation of power system operation yields valuable economic information and insight into power flow.

Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. Featuring coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems, this book is ideally designed for engineers, power system developers, academicians, and researchers seeking current research on emerging techniques in achieving quality power under normal operating conditions.

Product Details
EAN
9781522569718
ISBN
1522569715
Publisher
Dimensions
25.4 x 17.8 x 2.1 centimeters (0.81 kg)
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