Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Metaheuristic Optimization In Power EngineeringISBN13:9781785615467ISBN10:1785615467Author:Radosavljevic, Jordan (Author)Description:A Metaheuristic Is A Consistent Set Of Ideas, Concepts, And Operators To Design A Heuristic Optimization Algorithm, That Can Provide A Sufficiently Good Solution To An Optimization Problem With Incomplete Or Imperfect Information Modern And Emerging Power Systems, With The Growing Complexity Of Distributed And Intermittent Generation, Are An Important Application For Such Methods This Book Describes The Principles Of Solving Various Problems In Power Engineering Via The Application Of Selected Metaheuristic Optimization Methods Including Genetic Algorithms, Particle Swarm Optimization, And The Gravitational Search Algorithm Applications Covered Include Power Flow Calculation; Optimal Power Flow In Transmission Networks; Optimal Reactive Power Dispatch In Transmission Networks; Combined Economic And Emission Dispatch; Optimal Power Flow In Distribution Networks; Optimal Voltvar Control In Distribution Networks; Optimal Placement And Sizing Of Distributed Generation In Distribution Networks; Optimal Energy And Operation Management Of Microgrids; Optimal Coordination Of Directional Overcurrent Relays; And Steady-State Analysis Of Self-Excited Induction Generators Binding:Hardcover, HardcoverPublisher:Institution of Engineering & TechnologyPublication Date:2018-06-26Weight:2.1 lbsDimensions:1.2'' H x 9.4'' L x 6.4'' WNumber of Pages:536Language:English
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Location: USA
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Book Title: Metaheuristic Optimization In Power Engineering
Item Weight: 2.1 lbs
Item Length: 9.2in
Item Width: 6.1in
Author: Jordan Radosavljević
Publication Name: Metaheuristic Optimization in Power Engineering
Format: Hardcover
Language: English
Publisher: Institution of Engineering & Technology
Series: Energy Engineering Ser.
Publication Year: 2018
Type: Textbook
Number of Pages: 536 Pages
