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Power quality enhancement using Artificial Intelligence techniques / Adel Ali Mohamed Abou El-Ela, Ahmed S. Abbas, Ragab A. El-Sehiemy, Adel A. Elbaset

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton : CRC Press, 2023Edition: First editionDescription: 1 Online-Ressource (1 online resource)ISBN:
  • 9781000844986
  • 1000844986
  • 9781000844979
  • 1000844978
Subject(s): Additional physical formats: 9781003369448. | 1003369448 | 9781032439228. | 9781032439242. | 9781032439228 | Erscheint auch als: Power quality enhancement using Artificial Intelligence techniques. Druck-Ausgabe Boca Raton : CRC Press, 2023DDC classification:
  • 621.31028563
LOC classification:
  • TK1010
Online resources: Summary: "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"--PPN: PPN: 1882636554Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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