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.
Original language | English |
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Title of host publication | Computational Intelligence for Decision Support in Cyber-Physical Systems |
Publisher | Springer Verlag |
Pages | 265-292 |
Number of pages | 28 |
ISBN (Print) | 9789814585354 |
DOIs | |
State | Published - 2014 |
Publication series
Name | Studies in Computational Intelligence |
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Volume | 540 |
ISSN (Print) | 1860-949X |
Bibliographical note
Funding Information: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.
Keywords
- Adaptive neuro-fuzzy inference system
- Computational intelligence
- Differential evolution
- Hybrid systems
- Maximum power point tracking
- Parameter estimation
- Photovoltaic models
- Smart grids
ASJC Scopus subject areas
- Artificial Intelligence