Metaheuristics for intelligent electrical networks / Frederic Heliodore, Amir Nakib, Boussaad Ismail.

By: Heliodore, Frederic [author.]
Language: English Publisher: Hoboken, NJ : ISTE Ltd/John Wiley and Sons Inc, 2017Description: 1 online resource (286 Pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119136750; 9781119136736Subject(s): MetaheuristicsGenre/Form: Electronic books.DDC classification: 621.31920151964 Online resources: Full text available at Wiley Online Library Click here to view
Contents:
TABLE OF CONTENTS 1. Single Solution Based Metaheuristics. 2. Population-based Methods. 3. Performance Evaluation of Metaheuristics. 4. Metaheuristics for FACTS Placement
 and Sizing. 5. Genetic Algorithm-based Wind Farm Topology Optimization. 6. Topological Study of Electrical Networks. 7. Parameter Estimation of α-Stable Distributions. 8. SmartGrid and MicroGrid Perspectives.
Summary: Intelligence is defined by the ability to optimize, manage and reconcile the currents of physical, economic and even social flows. The strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization techniques. Metaheuristics for Intelligent Electrical Networks analyzes the use of metaheuristics through independent applications but united by the same methodology.
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Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
LIC Gateway 		621.31920151964 H3673 2017 (Browse shelf) Available 50454
Total holds: 0

BOUT THE AUTHOR
Frédéric Héliodore, General Electric Grid Solutions, France.
Amir Nakib, University Paris-Est, France.

Boussaad Ismail, General Electric Grid Solutions, France.

Salma Ouchraa, University Mohammed V, Morocco.

Laurent Schmitt, European Network of Transmission System Operators for Electricity (ENTSO-E), France.

TABLE OF CONTENTS
1. Single Solution Based Metaheuristics.

2. Population-based Methods.

3. Performance Evaluation of Metaheuristics.

4. Metaheuristics for FACTS Placement
 and Sizing.

5. Genetic Algorithm-based Wind Farm Topology Optimization.

6. Topological Study of Electrical Networks.

7. Parameter Estimation of α-Stable Distributions.

8. SmartGrid and MicroGrid Perspectives.

Intelligence is defined by the ability to optimize, manage and reconcile the currents of physical, economic and even social flows. The strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization techniques.

Metaheuristics for Intelligent Electrical Networks analyzes the use of metaheuristics through independent applications but united by the same methodology.

600-699 621

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