Mathematical Models And Algorithms For Power System Optimization by Mingtian FanMathematical Models And Algorithms For Power System Optimization by Mingtian Fan

Mathematical Models And Algorithms For Power System Optimization

byMingtian Fan, Zuping Zhang

Hardcover | July 1, 2019

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Mathematical Models and Algorithms for Power System Optimizationhelps 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
After completing his doctoral degree in China, Professor Fan was a visiting scholar first at Tampera Technology University in Finland, and then at Hiroshima University in Japan. After returning to China he worked for the China Electric Power Research Institute as an engineer and taught doctoral students in the fields of optimal distrib...
Title:Mathematical Models And Algorithms For Power System OptimizationFormat:HardcoverDimensions:300 pages, 9.41 × 7.24 × 0.98 inPublished:July 1, 2019Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128132310

ISBN - 13:9780128132319

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Table of Contents

1. Daily Economic Dispatch for Optimal Operation of Pump Storage Plants 2. Optimization of Generator Maintenance Scheduling (GMS) 3. 4. Load Optimization for urban power networks 5. Reactive Power Planning 6. Load Frequency Feed-Forward Control 7. Local Decoupling Control for Power System Transient Stability 8. Philosophy about innovation in power system modelling and algorithms