Power Quality Enhancement using Artificial Intelligence Techniques

Language: English

Published by Taylor and Francis Ltd, GB, 2024

1032439246 / 9781032439242

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This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features: Presents a sensitivity parametric analysis for the single tuned filter parameters.Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems.Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion.Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters.Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis.…

Seller Inventory # LU-9781032439242

Title
Power Quality Enhancement using Artificial Intelligence Techniques
Author
Ahmed S. Abbas, Adel Ali Mohamed Abou El-Ela, Ragab A. El-Sehiemy, Adel A. Elbaset
Publisher
Taylor and Francis Ltd, GB
Publication year
2024
Condition
New
Binding
Paperback
Language
English
ISBN 10
1032439246
ISBN 13
9781032439242
Item weight
180 grams

Rarewaves.com UK

London, United Kingdom

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