Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems

Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems is a comprehensive guidebook that delves into the critical aspects of power systems. It emphasizes the essential developments necessary to support the transition towards sustainable energy sources. The book begins by laying down the fundamental principles of hosting capacity in energy systems, highlighting modern challenges in the shift to renewable and distributed energy sources. It underscores the pivotal role hosting capacity plays in the planning and operation of successful systems, offering readers a solid foundation on which to build their understanding.

Subsequent chapters are dedicated to providing detailed explanations on various practical hosting capacity calculation methods and enhancement techniques. The book also introduces available tools and software solutions to address hosting capacity issues. By compiling the latest insights and advancements in this crucial yet under-explored area, this book serves as an invaluable resource for students, researchers, and engineers. It aids in planning hosting capacity aspects for the successful integration of renewable and sustainable energy systems.

• Outlines the fundamental concepts of hosting capacity and its relation to sustainable energy systems
• Provides a range of accurate, flexible options of tools, software, calculations, and enhancement techniques
• Supports readers in mastering the latest theoretical and practical developments

Hossam H. H. Mousa is currently a Doctoral Researcher at the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Finland. He is also an Assistant Lecturer in the Department of Electrical Engineering at South Valley University, Egypt, where he started as a Teaching Assistant in 2018. He earned his B.Sc. in 2017 and his M.Sc. in Electrical Power and Machines Engineering in 2020, both from South Valley University. He has authored or co-authored several publications in top-ranked journals, and international conferences. His research interests include electrical power engineering, maximum power point tracking (MPPT) techniques for renewable energy systems, power systems, energy management, applied machine learning, and control systems. His current research focuses on hosting capacity estimation and optimization using machine learning techniques for modern power systems.

Karar Mahmoud is currently an Associate Professor with the Department of Electrical Engineering at Aswan University, Egypt. From 2019 to 2023, he has been with Aalto University, as a Research Fellow with the Group of Prof. M. Lehtonen, Department of EEA, School of Electrical Engineering, Aalto University, Finland. He has authored or co-authored several publications in top-ranked journals, including IEEE journals, international conferences, and book chapters. His research interests include power systems, renewable energies, smart grids, energy storage, and distributed generation. He was awarded the Prestigious Egyptian State Encouragement Award in the field of engineering sciences, in 2021, and honored by Egypt’s Academy of Scientific Research and Technology (ASRT). He holds the position of topic editor in four classified scientific journals, in addition to being a guest editor for more than 10 special scientific issues on advanced scientific engineering topics.

Matti Lehtonen has been a Full Professor and the Head of the Power Systems and High Voltage Engineering Group at Aalto University, Finland, since 1999. Prior this role he worked with VTT Energy, Finland, from 1987 to 2003. His research interests include power system planning and assets management, power system protection, including earth fault problems, harmonic-related issues, high voltage systems, power cable insulation, and polymer nanocomposites. He is an Editor and a Special Issue Editor of IET Generation, Transmission and Distribution and an Associate Editor of Electric Power Systems Research.