Description
Book SynopsisAdaptive 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 Tech
Trade Review
"The book serves as a pioneering work for addressing many of the computational challenges, speci cally, the power system optimization problems with adaptive dynamic stochastic and predictive characteristics." - I. M. Stancu-Minasian (Bucure□sti)
Table of Contents
Introduction. Static Optimization Techniques. Dynamic Optimization Techniques and Optimal Control. Decision Analysis Tools. Intelligent Systems. Evolutionary Programming and Heuristic Optimization. Stochastic and Adaptive Dynamic Programming Fundamentals. Introduction to Power System Applications. Optimal Power Flow. Vulnerability Assessment. Voltage/VAr. Unit Commitment. Control Coordination. Reliability and Reconfiguration. Smart Grid and Adaptive Dynamic Stochastic Optimization. Epilogue.
