Classical and Recent Aspects of Power System Optimization
- 1st Edition - June 20, 2018
- Latest edition
- Editors: Ahmed F. Zobaa, Shady Abdel Aleem, Almoataz Youssef Abdelaziz
- Language: English
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic a… Read more
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power.
- Analyzes and compares several aspects of optimization for power systems which has never been addressed in one reference
- Details real-life industry application examples for each chapter (e.g. energy storage and power reserve problems)
- Provides practical training on theoretical developments and application of advanced methods for optimum electrical energy for realistic engineering problems
Practicing engineers regarding efficient and enhanced operation of power systems. All engineers related with optimization problems, planners, designers, operators, equipment manufacturers. Postgrad students, academics and researchers who have a background in electrical power systems
Section A-Optimization: Methods and Algorithms
1. Introduction: Optimization-A need or a must
2. Conventional optimization methods and algorithms
3. Metaheuristic optimization methods and algorithms
Section B-Mathematical Modeling of Power System Structures
4. Mathematical modeling of power systems
5. Mathematical modeling of distributed generations
6. Mathematical modeling of HVDC
7. Mathematical modeling of FACTS
Section C-Power Systems: Classic Aspects of Optimization
8. Optimal power flow optimization problems
9. Economic dispatch optimization problems
10. Unit commitment optimization problems
11. Power quality optimization problems
Section D-Power Systems: Recent Aspects of Optimization
12. Distributed generation: Sizing and allocation problems
13. Renewable resources: Maximum power point tracking problems
14. Schedule of renewable sources optimization problems
15. Energy storage and power reserve problems
16. Smart grid optimization problems
17. Protection optimization problems in modern power systems
Section E-Power Systems: Challenges and Decision-making
18. Energy Management in modern power systems
19. Active/Reactive-power management in modern power systems
20. Power system economics
21. Decision-making problems in new power systems planning
22. Power systems of the future: Opportunities and challenges
- Edition: 1
- Latest edition
- Published: June 20, 2018
- Language: English
AZ
Ahmed F. Zobaa
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.
Affiliations and expertise
College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UKSA
Shady Abdel Aleem
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.
Affiliations and expertise
Mathematical, Physical and Engineering Sciences Department, 15th of May Higher Institute of Engineering, Cairo, EgyptAY
Almoataz Youssef Abdelaziz
Almoataz Y. Abdelaziz was born in Cairo, Egypt, in 1963. He received the B. Sc. and M. Sc. degrees in electrical engineering from Ain Shams University, Cairo, Egypt in 1985, 1990 respectively and the Ph. D. degree in electrical engineering according to the channel system between Ain Shams University, Egypt and Brunel University, England in 1996. He is currently a professor of electrical power engineering in Ain Shams University.
Affiliations and expertise
Ain Shams University, Faculty of Engineering, Cairo, EgyptRead Classical and Recent Aspects of Power System Optimization on ScienceDirect