Adaptive Stochastic Optimization Techniques with Applications

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Opis: Adaptive Stochastic Optimization Techniques with Applications - James Momoh

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.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


Szczegóły: Adaptive Stochastic Optimization Techniques with Applications - James Momoh

Tytuł: Adaptive Stochastic Optimization Techniques with Applications
Autor: James Momoh
Producent: CRC Press Inc.
ISBN: 9781439829783
Rok produkcji: 2016
Ilość stron: 442
Oprawa: Twarda
Waga: 0.75 kg


Recenzje: Adaptive Stochastic Optimization Techniques with Applications - James Momoh

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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.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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Cena 601,00 PLN
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Oszczędzasz 6%
Wysyłka: Niedostępna
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Szczegóły: Adaptive Stochastic Optimization Techniques with Applications - James Momoh

Tytuł: Adaptive Stochastic Optimization Techniques with Applications
Autor: James Momoh
Producent: CRC Press Inc.
ISBN: 9781439829783
Rok produkcji: 2016
Ilość stron: 442
Oprawa: Twarda
Waga: 0.75 kg


Recenzje: Adaptive Stochastic Optimization Techniques with Applications - James Momoh

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