Fan / Zhang / Wang Mathematical Models and Algorithms for Power System Optimization

Modeling Technology for Practical Engineering Problems
1. Auflage 2019
ISBN: 978-0-12-813232-6
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 450 Seiten

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. - Provides insights on the development of new mathematical models of power system optimization - Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems - Includes research on the optimization of power systems and related practical research projects carried out since 1981

Professor Fan obtained her doctoral degree in Tsinghua university, China. She was also a visiting scholar in Hiroshima university, Japan and Tampera technology university, Finland. She worked in China Electric Power Research Institute as a research fellow engineer and supervised doctor and master students in the fields of optimal distribution planning, optimal transmission planning and reliability evaluation. She has published papers with IEEE, JIEE and CSEE.Her research focuses on mathematical modeling and algorithms for power system planning and operation, including economic dispatching, generator maintenance scheduling, load flow, optimal load flow, reactive power planning, load frequency control, and transient stability.

Autoren/Hrsg.

Fan, Mingtian

Zhang, Zuping

Wang, Chengmin