Optimization Principles: Practical Applications to the Operation and Markets of the Electric Power Industry

1. Introduction.

PART I: MATHEMATICAL BACKGROUND.

2. Fundamentals of Matrix Algebra.

PART II: LINEAR OPTIMIZATION.

3. Solution of Equations, Inequalities, and Linear Programs.

4. Solved Linear Program Problems.

PART III: NONLINEAR OPTIMIZATION.

5. Mathematical Background to Nonlinear Programs.

6. Unconstrained Nonlinear Optimization.

7. Constrained Nonlinear Optimization.

8. Solved Nonlinear Optimization Problems.

Appendix A: Basic Principles of Electricity.

Appendix B: Network Equations.

Appendix C: Relation Between Pseudo-Inverse and Least-Square Error Fit.

Bibliography.

Index.

About the Author.