Isbn: 9781041109440 - application of computational techniques in power systems for power quality improvement (19 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: New.

Hardback. Condizione: New. 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.…

Hardcover. Condizione: Brand New. 136 pages. 9.19x6.13x9.45 inches. In Stock.

Hardback. Condizione: New. 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.…

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.…

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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. 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. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jagatheesan Kaliannan is a Professor in the Department of Electronics and Communication Engineering at M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. He has more than 14 years of teaching experience and 12 years of resea.…

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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. 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.…