A study of electric power system applications of optimization. It highlights essential trends in optimizational and genetic algorithms; linear programming; interior point methods of linear, quadratic, and non-linear systems; decomposition and Lagrange relaxation methods; unit commitment; optimal pow
Electric Power System Applications of Optimization, Second Edition
โ Scribed by Momoh, James A
- Publisher
- CRC Press
- Year
- 2008
- Tongue
- English
- Leaves
- 634
- Series
- Power Engineering (Willis)
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Introduction Structure of a Generic Electric Power System Power System Models Power System Control Power System Security Assessment Power System Optimization as a Function of Time Review of Optimization Techniques Applicable to Power Systems Electric Power System Models Complex Power Concepts Three-Phase Systems Per Unit Representation Synchronous Machine Modeling Reactive Capability Limits Prime Movers and Read more...
Abstract: Introduction Structure of a Generic Electric Power System Power System Models Power System Control Power System Security Assessment Power System Optimization as a Function of Time Review of Optimization Techniques Applicable to Power Systems Electric Power System Models Complex Power Concepts Three-Phase Systems Per Unit Representation Synchronous Machine Modeling Reactive Capability Limits Prime Movers and Governing Systems Automatic Gain Control Transmission Subsystems Y-Bus Incorporating the Transformer Effect Load Models Available Transfer Capability Illustrative Examples Power
โฆ Table of Contents
Content: Front cover
Contents
Preface
Author
Chapter 1. Introduction
Chapter 2. Electric Power System Models
Chapter 3. Power-Flow Computations
Chapter 4. Constrained Optimization and Applications
Chapter 5. Linear Programming and Applications
Chapter 6. Interior Point Methods
Chapter 7. Nonlinear Programming
Chapter 8. Dynamic Programming
Chapter 9. Lagrangian Relaxation
Chapter 10. Decomposition Method
Chapter 11. State Estimation
Chapter 12. Optimal Power Flow
Chapter 13. Pricing
Chapter 14. Unit Commitment
Chapter 15. Genetic Algorithms Chapter 16. Functional Optimization, Optimal Control, and Adaptive Dynamic ProgrammingIndex
Back cover
โฆ Subjects
Electric power systems -- Mathematical models. Mathematical optimization.
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