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Power Quality Enhancement using Artificial Intelligence Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Power Quality Enhancement using Artificial Intelligence Techniques (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032439246 ISBN 13: 9781032439242
Language: English
Paperback. Condition: new. Paperback. 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. The text discusses the use of optimization algorithms in determining the optimal planning of both distributed generation units and capacitor banks in distribution systems. It also showcases the measure in selecting the optimal parameters of the single tuned filter to mitigate a specific harmonic passband based on a parametric analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Power Quality Enhancement using Artificial Intelligence Techniques (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032439246 ISBN 13: 9781032439242
Language: English
£ 58.58
Convert currency£ 27.30 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. The text discusses the use of optimization algorithms in determining the optimal planning of both distributed generation units and capacitor banks in distribution systems. It also showcases the measure in selecting the optimal parameters of the single tuned filter to mitigate a specific harmonic passband based on a parametric analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: Brand New. 126 pages. 9.18x6.12x9.21 inches. In Stock.
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Power Quality Enhancement using Artificial Intelligence Techniques (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032439246 ISBN 13: 9781032439242
Language: English
£ 73.70
Convert currency£ 36.89 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. The text discusses the use of optimization algorithms in determining the optimal planning of both distributed generation units and capacitor banks in distribution systems. It also showcases the measure in selecting the optimal parameters of the single tuned filter to mitigate a specific harmonic passband based on a parametric analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Power Quality Enhancement Using Artificial Intelligence Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Power Quality Enhancement using Artificial Intelligence Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Power Quality Enhancement using Artificial Intelligence Techniques
Published by Taylor & Francis Ltd, 2023
ISBN 10: 103243922X ISBN 13: 9781032439228
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Power Quality Enhancement Using Artificial Intelligence Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hardcover. Condition: Brand New. 136 pages. 9.19x6.13x0.48 inches. In Stock.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prof. Dr. Adel Ali Mohamed Abou El-Ela was born in 1954, Tanta City, Egypt. He received his B.Sc., M.Sc. and Ph.D degrees in Electrical Engineering from Menoufia University, Egypt in 1977, 1980 and 1983, respectively. In 2006 until 2007 .
