Renewable Energy Integration in Electrical Utility Systems

Inbunden, Engelska, 2026

1 639 kr

Kommande

Beskrivning

This book will help the readers understand the dynamic interaction between the grid and renewable energy, distributed generation integration concerning grid behavior with distributed generation or renewable energy integration, optimal distributed generation placement and sizing, and planning of distribution networks to accommodate increased penetration of alternative generation sources. This book:Discusses impact analysis with increased penetration of distributed generation in the form of wind and solar power plants. Covers applications of machine learning models for optimized interaction between an electric grid and connection of new and alternative power-generating sources. Explains optimal feeder reconfiguration in distributed generation environment under time-varying loading condition. Presents the application of machine learning techniques for distributed generation siting and sizing. Explores the interconnection of renewable energy resources in the grid and study of its consequences on small disturbance voltage stability with phasor measurement units.It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, energy engineering, renewable energy, computer science, and engineering.

Produktinformation

Utgivningsdatum:2026-11-13
Mått:156 x 234 x undefined mm
Format:Inbunden
Språk:Engelska
Antal sidor:240
Förlag:Taylor & Francis Ltd
ISBN:9781041063100

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Dipu Sarkar received his B.Tech in Electrical Engineering in 2003 from University of Kalyani, W.B., India. He received his M.Tech. with specialization of electrical power systems from University of Calcutta, India, in 2007, and his Ph.D. from the Department of Electrical Engineering, Bengal Engineering and Science University, Shibpur, India (presently known as Indian Institute of Engineering Science and Technology [IIEST]) in 2013. Currently he is working as an Associate Professor in the Department of Electrical and Electronics Engineering of National Institute of Technology, Nagaland, India. His fields of interest are power systems operation and control, power system dynamics and stability, soft computational applications in power systems, and smart grids.Yanrenthung Odyuo received his B.Tech in Electrical and Electronics Engineering in 2013 from the Government College of Engineering Salem under ANNA University Chennai, India. He completed his M.Tech with a specialization in power systems from the National Institute of Technology Nagaland, India, in 2016, and in February 2023 he completed his Ph.D. from the Department of Electrical and Electronics Engineering, National Institute of Technology Nagaland, India. His fields of interest are power systems, power systems operation and control, power system dynamics and stability, power system planning and reliability, and smart grid.Abraham Lomi received his B. Eng. from the National Institute of Technology (ITN) Malang in 1988, and his M. Eng. from Bandung Institute of Technology (ITB), Indonesia in 1992 both in Electrical Power Engineering. His Doctor of Engineering was obtained from the Asian Institute of Technology (AIT), Thailand in 2000, in the area of Electrical Power Systems Management. Dr. Lomi is currently working as a full professor since 2006 at the Department of Electrical Engineering, National Institute of Technology Malang, and is also currently Director of the Renewable Energy Research Center and Head of the Power and Energy System Simulation Laboratory. Professor Lomi received the Certificate of ASEAN Engineer from The ASEAN Federation of Engineering Organisations (AFEO) in 2023. His areas of research interest are power system dynamics and stability, power electronics, electric power quality, renewable energy, and smart grid.

Innehållsförteckning

1. Issues Related with Renewable Energy Integration to Electrical Networks. 2. Renewable Energy Integration and the Grid: An Overview. 3. Grid Integration of Renewable Energy Systems: Challenges and Solutions. 4. Interconnection of Renewable Energy Resources in the Grid and its Impacts – A Case Study. 5. Application of Machine Learning techniques for Distributed Generation Siting and Sizing. 6. Optimal Feeder Reconfiguration in Distributed Generation Environment under Time Varying Loading Condition. 7. Relay Coordination for Grid connected Distributed Energy Sources. 8. Conclusion and Future Scope.