Uncertainties in Modern Power Systems
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Uncertainties in Modern Power Systems

Uncertainties in Modern Power Systems


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About the Book

Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems.

Table of Contents:
1. Modern power systems: opportunities and challenges2. Uncertainty modeling techniques in power systems3. Demand side management in modern power systems4. Reliability assessment of modern power systems with high penetration of renewables5. Probabilistic optimal power flow problem6. Optimal reactive power planning of distribution systems with high penetration of renewables7. Power system state estimation8. Load and electricity price forecasting problem9. DG investment and allocation in active distribution networks10. Evaluation of DG impacts on distribution networks11. Energy dispatch of renewables12. Expansion planning of distribution networks13. Expansion planning of transmission networks14. Power quality in modern power systems15. Probabilistic hosting capacity decision making challenges16. Distributed energy storage allocation problem17. Decision making support for secured power systems operation18. Optimal sizing and coordination of EV charging stations19. Service restoration in distribution network20. Big data in the smart power systems and IoT applications21. Case studies

About the Author :
Ahmed Faheem Zobaa received his B.Sc.(Hons), M.Sc. and Ph.D. degrees in electrical power and machines from Cairo University, Egypt. After being a senior lecturer in renewable energy at University of Exeter, U.K, he became associate professor and then Professor at Cairo University. Currently, he is a Senior Lecturer in power systems, an MSc course director and a full member of the Institute of Energy Futures at Brunel University London, U.K. His main areas of expertise are power quality, (marine) renewable energy, smart grids, energy efficiency, and lighting applications. Dr. Zobaa is involved in the editorial activities of many international journals, including as editor-in-chief, editor and associate editor. He is a registered Chartered Engineer, Chartered Energy Engineer, European Engineer, and International Professional Engineer. He is also a registered member of the Engineering Council U.K., Egypt Syndicate of Engineers, and the Egyptian Society of Engineers. He is a senior fellow of the Higher Education Academy of U.K. He is a fellow of the Institution of Engineering and Technology, the Energy Institute of U.K., the Chartered Institution of Building Services Engineers, the Royal Society of Arts, the African Academy of Science, and the Chartered Institute of Educational Assessors. He is a senior member of the Institute of Electrical and Electronics Engineers. Also, He is a member of the International Solar Energy Society, the European Power Electronics and Drives Association, and the IEEE Standards Association. Shady Hossam Eldeen Abdel Aleem (MIEEE'12) and (MIET'16) received the B.Sc. and M.Sc. and Ph.D. degrees in Electrical Power and Machines from the Faculty of Engineering, Helwan University, Helwan, Egypt, in 2002, and the Faculty of Engineering, Cairo University, Egypt, in 2009 and 2013 respectively. Currently, he is an Associate Professor at 15th of May Higher Institute of Engineering. He is working in the field of electric machines, power quality, electric circuits, and renewable energy systems.


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Product Details
  • ISBN-13: 9780128204917
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 229 mm
  • No of Pages: 716
  • Width: 152 mm
  • ISBN-10: 0128204915
  • Publisher Date: 25 Oct 2020
  • Binding: Paperback
  • Language: English
  • Weight: 1180 gr


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