Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary programming, heuristic optimization, stochastic and adaptive dynamic programming, and adaptive critics, this book:

• Evaluates optimization methods for handling operational planning, Voltage/VAr, control coordination, vulnerability, reliability, resilience, and reconfiguration issues
• Includes mathematical formulations, algorithms for implementation, illustrative engineering examples, and case studies from actual power systems
• Discusses the limitations of current optimization techniques in meeting the challenges of smart electric grids

Adaptive Stochastic Optimization Techniques with Applications describes cutting-edge optimization methods used to address large-scale system problems applicable to power, energy, communications, transportation, and economics.

Table of Contents

Chapter 1 – Introduction

Section I – Classical Optimization Techniques
Chapter 2 – Static Optimization Techniques
Chapter 3 – Dynamic Optimization Techniques and Optimal Control
Chapter 4 – Decision Analysis Tools
Chapter 5 – Intelligent Systems
Chapter 6 – Evolutionary Programming and Heuristic Optimization
Chapter 7 – Stochastic and Adaptive Dynamic Programming Fundamentals

Section II – Applications to Power Systems
Chapter 8 – Introductions to Power System Applications
Chapter 9 – Optimal Power Flow
Chapter 10 – Vulnerability Assessment
Chapter 11 – Voltage/Var
Chapter 12 – Unit Commitment
Chapter 13 – Control Coordination
Chapter 14 – Reliability and Reconfiguration
Chapter 15 – Smart Grid and Adaptive Dynamic Stochastic Optimization
Chapter 16 – Epilogue