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.

Providing a broad treatment of theoretical and application aspects of power systems operation and planning, the second edition of Electric Power System Applications of Optimization presents new functions involving market programs, pricing, reliability, and advances in intelligent systems with implemented algorithms and illustrative examples. This comprehensive book introduces new investigated systems applications for optimization and control as well as new estimation and control concepts. The revised and expanded text also features additional new case studies and homework problems and includes a solutions manual along with an instructor's manual.

Contents perface Author Chapter 1 Introduction Chapter2 Electric Power System Models Chapter3 Power-Flow Computations Chapter4 Constrained Optimiztion and Applications Chapter5 Linear Programming and Applications Chapter6 Interior Point Methods Chapter7 Nonlinear Programming Chapter8 Dynamic Programming Chapter9 Lagrangian Relaxation Chapter10 Decomposition Method Chapter11 State Estimation Chapter12 Optimal Power Flow Chapter13 Pricing Chapter14 Unit Commitment Chapter15 Genetic Algorithms Chapter16 Functional Optimization, Optimal Control, and Adaptive Dynamic Programming Index