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Metaheuristics for Intelligent Electrical Networks

Book Description

The optimization tools are ubiquitous in modeling and the use of electrical networks. Managing the complexity of these electrical networks leads to analyze and define new methodologies, able to combine performance and near-operational processing. Metaheuristics offer a range of solutions as efficient as they are innovative.

Table of Contents

  1. Cover
  2. Title
  3. Copyright
  4. Introduction
  5. 1 Single Solution Based Metaheuristics
    1. 1.1. Introduction
    2. 1.2. The descent method
    3. 1.3. Simulated annealing
    4. 1.4. Microcanonical annealing
    5. 1.5. Tabu search
    6. 1.6. Pattern search algorithms
    7. 1.7. Other methods
    8. 1.8. Conclusion
  6. 2 Population-based Methods
    1. 2.1. Introduction
    2. 2.2. Evolutionary algorithms
    3. 2.3. Swarm intelligence
    4. 2.4. Conclusion
  7. 3 Performance Evaluation of Metaheuristics
    1. 3.1. Introduction
    2. 3.2. Performance measures
    3. 3.3. Statistical analysis
    4. 3.4. Literature benchmarks
    5. 3.5. Conclusion
  8. 4 Metaheuristics for FACTS Placement and Sizing
    1. 4.1. Introduction
    2. 4.2. FACTS devices
    3. 4.3. The PF model and its solution
    4. 4.4. PSO for FACTS placement
    5. 4.5. Application to the placement and sizing of two FACTS
    6. 4.6. Conclusion
  9. 5 Genetic Algorithm-based Wind Farm Topology Optimization
    1. 5.1. Introduction
    2. 5.2. Problem statement
    3. 5.3. Genetic algorithms and adaptation to our problem
    4. 5.4. Application
    5. 5.5. Conclusion
  10. 6 Topological Study of Electrical Networks
    1. 6.1. Introduction
    2. 6.2. Topological study of networks
    3. 6.3. Topological analysis of the Colombian electrical network
    4. 6.4. Conclusion
  11. 7 Parameter Estimation of α-Stable Distributions
    1. 7.1. Introduction
    2. 7.2. Lévy probability distribution
    3. 7.3. Elaboration of our non-parametric α-stable distribution estimator
    4. 7.4. Results and comparison with benchmarks
    5. 7.5. Conclusion
  12. 8 SmartGrid and MicroGrid Perspectives
    1. 8.1. New SmartGrid concepts
    2. 8.2. Key elements for SmartGrid deployment
    3. 8.3. SmartGrids and components technology architecture
  13. Appendix 1
    1. A1.1. Test functions
  14. Appendix 2
    1. A2.1. Application to the multi-objective case
  15. Bibliography
  16. Index
  17. End User License Agreement