Mathematical Models and Algorithms for Power System Optimization
Modeling Technology for Practical Engineering Problems

Explores new technologies and world-class practices developed or employed by China to optimize their power distribution network

Mingtian Fan (Author), Zuping Zhang (Author), Chengmin Wang (Author)

9780128132319, Elsevier Science

Hardback, published 9 August 2019

450 pages
23.4 x 19 x 2.8 cm, 1.04 kg

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.

1. Introduction2. Daily Economic Dispatch Optimization With Pumped Storage Plant for a Multiarea System3. Optimization of Annual Generator Maintenance Scheduling4. New Algorithms Related to Power Flow5. Load Optimization for Power Network6. Discrete Optimization for Reactive Power Planning7. Optimization Method for Load Frequency Feed Forward Control8. Local Decoupling Control Method for Transient Stability of a Power System9. Optimization of Electricity Market Transaction Decision Based on Market General Equilibrium

Subject Areas: Energy efficiency [THT], Electrical engineering [THR]