Metaheuristics for Intelligent Electrical Networks

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.

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.

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.

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