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.

N� de ref. del art�culo 9781041109440

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Application of Computational Techniques in Power Systems for Power Quality Improvement (Hardcover)
Editor: Taylor & Francis Ltd, London
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 104110944X
ISBN 13: 9781041109440
Encuadernaci�n: Hardcover
Estado: new

Acerca de

Sinopsis

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 simulations

This book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies.

Acerca del autor

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 research experience. He is the author of the book “Bio-Inspired Algorithms in PID Controller Optimization” published by CRC Press, Taylor & Francis Group, New York. Additionally, he has published more than 85 research papers in various reputed journals, book chapters, and international/national conferences with reputed publishers.

His Google Scholar profile shows an h-index of 23 and an i10-index of 42, with 1,734 citations. His primary research interests include power system operation and control, stability analysis, digital controllers, and bio-inspired optimization techniques. He has also organized several national and international-level technical events such as faculty development programs (FDPs), seminars, and workshops. Furthermore, he has published patents and served as a co-coordinator for various academic councils and social activities.

Boopathi Dhanasekaran works as an Associate Professor, Department of Electrical and Electronics Engineering, Paavai Engineering College (Autonomous), Namakkal, Tamil Nadu. He completed B.E (Electrical and Electronics Engineering) in the year 2008, M.E (Applied Electronics) in the year 2011, and Ph.D. degree in the year 2021. He has 16 years of teaching and 13 years of research experience. His research interests are Power system optimization, Power quality, and Power system stability analysis. He has published more than 20 research articles in reputed journals, as book chapters, and through conferences. His h-index is 11, and his i10 index is 11 with more than 350 citations.

Sourav Samanta is currently working as Assistant Professor in the Department of Computer Science and Engineering at University Institute of Technology, The University of Burdwan, West Bengal, India. Before joining the University Institute of Technology, he worked as a lecturer at the Gobindpur Sephali Memorial Polytechnic, Guskara, Burdwan, West Bengal. He has completed Ph.D. on Application of Computer Vision in Smart Agriculture at the Indian Institute of Information Technology, Kalyani. He has completed M. Tech in Computer Science and Engineering from JIS College of Engineering, WBUT, West Bengal and completed B.E in Information Technology from University Institute of Technology, The University of Burdwan, Burdwan, West Bengal respectively. He has approximately twelve years of academic experience. He has also completed a certificate program in Intellectual Property Rights and Technology Business Management from MAKAUT.

He is working with researchers from five different countries. His research area includes Nature Inspired Computing, Quantum Machine Learning, Computer Vision in Agriculture and Information Security. He has authored 75 research papers, including articles in reputed journals, conference proceedings, and book chapters published by IEEE, Springer, Elsevier, and others. As per Google Scholar, he has 2109 citations with an h-index of 24. He is a member of IEEE, ACM, and other professional organizations. He is the co-author of the book Optimization ofWatermarking in Biomedical Signal published by Lambert Academic Publishing. He is also co-editor of the two books: Design Frameworks for Wireless Networks and Architectural Wireless Networks Solutions and Security Issues published by Springer in Lecture Notes in Networks and Systems Series.

Anand Baskar received his B.E. in Electrical and Electronics Engineering in 2001 from Government College of Engineering, Tirunelveli and M.E. in Power Systems Engineering from Annamalai University in 2002, and Ph.D. in Electrical Engineering from Anna University, Chennai, in 2011. Since 2003, he has been associated with Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Currently he is working as a Professor and Head, Department of Electronics and Instrumentation Engineering in the same institution. He is the Chair of the annual IEEE – International Conference on Sustainable Computing and Smart Systems (ICSCSS) being organized by this institution. He received a research grant for a solar-related project from the Anusandhan National Research Foundation (ANRF), Government of India, as an ongoing research work. His research interests include electrical power system operation, control, optimization, and application of AI in power system problems. He has published more than 140 papers in national/international journals and conferences. He is an active member of IEEE, SSI, ISTE, and a Fellow in IE(I).

Kanendra Naidu is a Senior Lecturer at the Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia. He holds both an M.Eng.Sc. and a Ph.D. in Electrical Engineering from the University of Malaya. His research focuses on artificial intelligence applications in power systems, including areas such as load frequency control, energy management systems, virtual power plants, and electric vehicle integration. He has authored over 60 publications in esteemed journals like the International Journal of Electrical Power & Energy Systems, IET Generation, Transmission & Distribution, and IEEE Access, amassing more than 2,602 citations with an h-index of 22. He has led and collaborated on various research projects, notably the development of Virtual Power Plants (VPP) for frequency control ancillary services, modeling of electric vehicle (EV) charging patterns integrating photovoltaic-based stations, and a project on multi-energy ship microgrids. Beyond academia, he consults on initiatives related to EV battery recycling, EVSE scheduling, and energy storage systems. Professionally, he is a Chartered Engineer with the IET (UK), a Senior Member of IEEE, and an active member of the Board of Engineers Malaysia (BEM) and the Malaysia Board of Technologists (MBOT).

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Online business

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

ABC BOOKS LIMITED
10 John Street, London, WC1N 2EB, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Orders can be returned within 30 days of receipt.

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a CitiRetail, Stevenage, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 7 a 60 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 43.20	EUR 43.20

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.