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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications

Autorzy
Wydawnictwo Taylor & Francis Inc
Data wydania 24/11/2015
Liczba stron 414
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Literatura popularna
Język angielski
ISBN 9781439829783
Kategorie Wytwarzanie energii i dystrybucja
904.05 PLN (z VAT)
$203.36 / €193.83 / £168.26 /
Produkt na zamówienie
Dostawa 5-6 tygodni
Ilość
Do schowka

Opis książki

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. "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 (Bucuresti)

Adaptive Stochastic Optimization Techniques with Applications

Spis treści

Introduction

Intelligent Systems and Adaptive Dynamic Programming Techniques

Outline

References

Suggested Readings





CLASSICAL OPTIMIZATION TECHNIQUES





Static Optimization Techniques

Introduction

Definition

Applications of Static Optimization

Constraints and Limitation of Static Optimization Techniques

Solution Techniques

Conclusion

Problem Set

References

Suggested Readings





Dynamic Optimization Techniques and Optimal Control

Introduction

Definitions of Dynamic Programming

Dynamic Programming Formulations

Optimal Control

Pontryagin's Minimum Principle

Illustrative Examples

Conclusions

Problem Set

References

Suggested Readings





Decision Analysis Tools

Introduction

Classification of Decision Analysis

Decision Analysis Techniques Based on Probability Methods

Analytical Hierarchical Programming (AHP)

Analytical Network Process (ANP)

Cost-Benefit Analysis

Risk Assessment Strategy for Decision Support

Game Theory

Illustrative Examples

Conclusion

Problem Set

References

Suggested Readings





Intelligent Systems

Introduction

Expert Systems

Fuzzy Logic Systems

Artificial Neural Networks

Genetic Algorithm

Application of Intelligent System to Power System

Illustrative Examples

Conclusion

Problem Set

References

Suggested Readings





Evolutionary Programming and Heuristic Optimization

Introduction

Particle Swarm Optimization

Ant Colony Optimization

Genetic Algorithm

Annealing Method

Pareto Multiples Optimization

Tabu Search Optimization Method

Conclusion

References

Suggested Readings





Stochastic and Adaptive Dynamic Programming Fundamentals

Overview

Introduction to Stochastic Programming

Stochastic Programming Variants

Definition of ADP

ADP Formulation

Illustrative Examples

Conclusion

Problem Set

References

Suggested Readings





APPLICATIONS TO POWER SYSTEMS





Introduction to Power System Applications

Overview of Power System Optimization Models

Overview of Power System Applications





Optimal Power Flow

Introduction

History of Optimum Power Flow (OPF) Computation

OPF Problem Formulations and Computation

Methods Used in OPF

Cases

Conclusion

Problem Set

References

Suggested Readings





Vulnerability Assessment

Introduction

Generalized Model for Vulnerability Assessment

Methods Used in Vulnerability Assessment

Vulnerability Assessment Challenges

Cases

Conclusion

Problem Set

References

Suggested Readings





Voltage/VAr

Introduction

History of Voltage/VAr Control

Models and Formulation

Methods Used in Voltage/VAr

Cases

Conclusion

Problem Set

References

Suggested Readings





Unit Commitment

Introduction

History of Unit Commitment Optimization

Objective Function

A Simple Merit Order Scheme

Methods for Unit Commitment

Challenges Facing Unit Commitment Optimization

Cases

Conclusion

Problem Set

References

Suggested Readings





Control Coordination

Introduction

Control Strategy

Coordinated Control Design

Problem Definition and Formulation

Methods Used in Control Coordination

Cases

Conclusion

Problem Set

References

Suggested Readings





Reliability and Reconfiguration

Introduction

Reliability

Reconfiguration

Optimization of Reliability and Reconfiguration

Cases

Conclusion

Problem Set

References

Suggested Readings





Smart Grid and Adaptive Dynamic Stochastic Optimization

Introduction

Power Grid Generation Level in Smart Grid

Bulk Power System Automation of Smart Grid at Transmission Level

Distribution System of the Power Grid

End User/Appliance Level of the Smart Grid

Design Smart Grid Using Advanced Optimization and Control Techniques

Applications for Dynamic Stochastic Optimum Power Flow (DSOPF)

DSOPF Application to Smart Grid

Computational Challenges for the Development of Smart Grid

Cases

Conclusion

References

Suggested Readings





Epilogue

Design of Optimal Future Grid with Different Distributed Energy Resources with the Capability for Sustainability, Economies of Scale, and Resilient to Different Attacks

Storage and Energy Management under Uncertainties

Transmission Challenges and Optimization for Smart Grid

Next-Generation Distribution Grid

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