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Computational Intelligence in Smart Grids: Case Studies

  • Mohamed A. Abido
  • El-Sayed M. El-Alfy
  • Muhammad Sheraz
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 540)

Abstract

This chapter briefly provides an overview of related work on computational intelligence techniques in smart grids. It also reviews two computational intelligence techniques and some of their current applications in solving problems associated with smart grids implementation and deployment. More importantly, two case studies are presented and intensively discussed. These applications include parameter estimation of photovoltaic models and tracking of maximum power point. This chapter also highlights some open research problems and directions for future research work.

Keywords

Computational intelligence Differential evolution Adaptive neuro-fuzzy inference system Hybrid systems Smart grids Parameter estimation Photovoltaic models Maximum power point tracking 

Notes

Acknowledgments

The authors would like to acknowledge the support provided by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals (KFUPM) for funding this work through projects No. 11-ENE1632-04 and 11-INF1658-04 as part of the National Science, Technology and Innovation Plan.

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Mohamed A. Abido
    • 1
  • El-Sayed M. El-Alfy
    • 2
  • Muhammad Sheraz
    • 1
  1. 1.Electrical Engineering Department, College of EngineeringKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia
  2. 2.College of Computer Sciences and EngineeringKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia

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