Mathematical Models and Algorithms for Power System Optimization
Modeling Technology for Practical Engineering Problems| By: | Mingtian Fan; Zuping Zhang; Chengmin Wang |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780128132319 |
| eText ISBN: | 9780128132326 |
| Edition: | 0 |
| Copyright: | 2019 |
| Format: | Reflowable |
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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