ABSTRACT

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 power flow; Var planning; and hands-on applications.

chapter 1|18 pages

Introduction

chapter 2|46 pages

Electric Power System Models

chapter 3|54 pages

Power-Flow Computations

chapter 4|24 pages

Constrained Optimization and Applications

chapter 5|54 pages

Linear Programming and Applications

chapter 6|32 pages

Interior Point Methods

chapter 7|28 pages

Nonlinear Programming

chapter 8|36 pages

Dynamic Programming

chapter 9|32 pages

Lagrangian Relaxation

chapter 10|14 pages

, Decomposition Method

chapter 11|62 pages

Optimal Power Flow

chapter 12|42 pages

Unit Commitment

chapter 13|30 pages

Genetic Algorithms