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Aggiungi al carrelloHardcover. Condizione: Brand New. 136 pages. 9.19x6.13x9.45 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 104110944X ISBN 13: 9781041109440
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book introduces optimization methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks. Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimization. Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors Discusses the tuning of secondary controllers, including PID controllers, using advanced optimization algorithms Addresses PQ challenges posed by renewable energy integration and energy storage units Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions Provides a structured approach to analysing system behaviour using mathematical modeling and time-domain simulationsThis book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies. his book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analysing nonlinearities in power plants. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 104110944X ISBN 13: 9781041109440
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EUR 130,09
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book introduces optimization methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks. Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimization. Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors Discusses the tuning of secondary controllers, including PID controllers, using advanced optimization algorithms Addresses PQ challenges posed by renewable energy integration and energy storage units Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions Provides a structured approach to analysing system behaviour using mathematical modeling and time-domain simulationsThis book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies. his book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analysing nonlinearities in power plants. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Application of Computational Techniques in Power Systems for Power Quality Improvement | Jagatheesan Kaliannan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781041109440 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 104110944X ISBN 13: 9781041109440
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 174,65
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book introduces optimization methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks. Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimization. Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors Discusses the tuning of secondary controllers, including PID controllers, using advanced optimization algorithms Addresses PQ challenges posed by renewable energy integration and energy storage units Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions Provides a structured approach to analysing system behaviour using mathematical modeling and time-domain simulationsThis book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies. his book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analysing nonlinearities in power plants. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 147,75
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - his book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analysing nonlinearities in power plants.