£85.99

Springer Renewable Power Systems Dynamic Security

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£99.99 £78.39 £83.10 £87.81 £92.53 £97.24 £101.95 09 June 2024 13 November 2024 20 April 2025 24 September 2025 01 March 2026

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Description

This book presents innovative techniques and approaches to maintaining dynamic security of modern power systems that have a high penetration of renewable energy sources (RESs). The authors propose a number of frequency control strategies and schemes to address and evade stability problems in system frequency and voltage that can lead to power interruption and power failure/blackout. The book includes case studies aimed at validating the effectiveness of the techniques and strategies presented, and will be a valuable resource for researchers working in electrical power engineering, power system stability, dynamics and control, and microgrids.  From the Back Cover This book presents innovative techniques and approaches to maintaining dynamic security of modern power systems that have a high penetration of renewable energy sources (RESs). The authors propose a number of frequency control strategies and schemes to address and evade stability problems in system frequency and voltage that can lead to power interruption and power failure/blackout. The book includes case studies aimed at validating the effectiveness of the techniques and strategies presented, and will be a valuable resource for researchers working in electrical power engineering, power system stability, dynamics and control, and microgrids.  Presents methods and tools for maintaining dynamic security of modern power systems Focuses on cutting-edge approaches and advances Contextualizes technical aspects of dynamic security of modern power systems for developing countries About the Author Gaber Magdy was born in Qena, Egypt, in 1989. He received the B.Sc. and M.Sc. (Hons.) degrees in electrical engineering from the Faculty of Energy Engineering, Aswan University, Egypt, in 2011 and 2014, respectively, and the PhD degree in electrical engineering from the Faculty of Engineering, Minia University, El-Minia, Egypt in 2019. Since 2012, he joined the Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, Egypt, first as a Demonstrator (Assistant Researcher), and then became an Assistant lecturer during the periods of 2012-2014, and 2014-2017, respectively. From 2017 to 2019, he was a researcher in the Department of Electrical and Electronic Engineering, Kyushu Institute of Technology, Japan. He is currently an assistant professor at the Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, Egypt. His research interests include power system stability, dynamics and control, smart/micro-grid control, digital control techniques all applied to power systems, and renewable energy applications. G. Shabib, PhD, received the BSc degree in electrical engineering from Al-Azhar University, the MSc degree in electrical engineering from the King Fahad University of Petroleum and Minerals, and the PhD degree from Menoufia University, Egypt. In 1982, he joined the Electrical Engineering Department, King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia, as a Research Assistant. In 1987, he joined the Qassim Royal Institute, Qassim, Saudi Arabia, as a Lecturer. He joined Aswan High Institute of Energy, South Valley University, Aswan, Egypt, in 1999. He joined the Digital Control Laboratory, Tsukuba University, Japan, as a Visiting Professor, from 2006 to 2007. His research interests include power system stability, control, self-tuning control, fuzzy logic techniques, digital control techniques, all as applied to power systems.  Adel A. Elbaset, PhD, is an associate professor in power electronics at Minia University, where he is also executive manager of the Advanced Lab for Electric Power Systems. He received his BS, MSc, and PhD from Minia University. His research interests are in the areas of renewable energy sources, power electronics, power system protection and control, power quality and harmonics, neural network, and f

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 December 2019
Listed Since
13 September 2019

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No barcode data available

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