Electric Power System Applications of Optimization / Edition 2

by James A. Momoh

Overview

As the demand for energy continues to grow, optimization has risen to the forefront of power engineering research and development. Continuing in the bestselling tradition of the first edition, Electric Power System Applications of Optimization, Second Edition presents the theoretical background of optimization from a practical power system point of view, exploring advanced techniques, new directions, and continuous application problems.

The book provides both the analytical formulation of optimization and various algorithmic issues that arise in the application of various methods in power system planning and operation. The second edition adds new functions involving market programs, pricing, reliability, and advances in intelligent systems with implemented algorithms and illustrative examples. It describes recent developments in the field of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines fundamental theories and theorems from functional optimization, optimal control, and dynamic programming to explain new Adaptive Dynamic Programming concepts and variants.

With its one-of-a-kind integration of cornerstone optimization principles with application examples, this second edition propels power engineers to new discoveries in providing optimal supplies of energy.

Product Details

ISBN-13:	9780367386160
Publisher:	CRC Press
Publication date:	10/07/2019
Edition description:	2nd ed.
Pages:	602
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Momoh, James A.

Table of Contents

Contents. 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 Programming. Index

Editorial Reviews

...a current consolidated theoretical reference on the latest methods for power system optimization.

IEEE Electrical Insulation Magazine

An introduction to optimization, system theory, foundations of different mathematical programming techniques, and application to selected areas of electrical power engineering. It is intended as a practical guide for faculty, researchers, students, and developers of power systems interested in using optimization as a tool for planning and operation. A significant portion of the material is derived from sponsored projects, professional society meetings, panel sessions, and popular texts in operation research that the author (Center for Energy Systems and Controls, Howard U.) has been involved with. Sections cover: electric power system models, power-flow computations, constrained optimization and applications, linear programming and applications, interior point methods, nonlinear programming, dynamic programming, Lagrangian relaxation, decomposition method, optimal power flow, unit commitment, and genetic algorithms. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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