Part I: Architectures and Integration -- Toward Sensing, Communications and Control Architectures for Frequency Regulation in Systems with Highly Variable Resources.-Dynamic Competitive Equilibria in Electricity Markets.-Optimal Demand Response: Problem Formulation and Deterministic Case -- Wholesale Energy Market in a Smart Grid: A Discrete-time Model and the Impact of Delays -- Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking using Multirate Economic Model Predictive Control -- Smart Vehicles in the Smart Grid: Challenges, Trends, and Application to the Design of Charging Stations -- Models for Impact Assessment of Wind-Based Power Generation on Frequency Control -- Multi-dimensional Modal Analysis in Large Power Systems from Ambient Data based on Frequency-Domain Optimization -- Coherent Swing Instability of Interconnected Power Grids and a Mechanism of Cascading Failure -- Toward A Highly Available Modern Grid -- Models and Control Strategies for Data Centers in the Smart Grid -- Electrical Centrality Measures for Power Grids -- Part III: Communications and Control -- Optimal Charging Control for Plug-in Electric Vehicles -- Risk Analysis of Coordinated Cyber Attacks on Power Grid -- Synchronous Measurements in Power Distribution Systems -- The Influence of Time Delays on Decentralized Economic Dispatch by Using Incremental Cost Consensus Algorithm -- An adaptive wide-area power system damping controller using synchrophasor data -- A Model Reference Approach for Interarea Modal Damping in Large Power Systems.    .

Control and Optimization Methods for Electric Smart Grids brings together leading experts in power, control and communication systems,and consolidates some of the most promising recent research in smart grid modeling,control and optimization in hopes of laying the foundation for future advances in this critical field of study. The contents comprise eighteen essays addressing wide varieties of control-theoretic problems for tomorrow’s power grid. Topics covered include: Control architectures for power system networks with large-scale penetration of renewable energy and plug-in vehicles Optimal demand response New modeling methods for electricity markets Control strategies for data centers Cyber-security Wide-area monitoring and control using synchronized phasor measurements. The authors present theoretical results supported by illustrative examples and practical case studies, making the material comprehensible to a wide audience. The results reflect the exponential transformation that today’s grid is going through in terms of design and operation, and provide a vision of how control theorists can contribute to this enterprise of making tomorrow’s cyber-integrated energy infrastructure a reality. Control and Optimization Methods for Electric Smart Grids has a broad scope, making it an ideal resource for graduate students in power and control systems. The work will also be of practical interest to researchers, engineers and power system operators seeking to understand how relevant methods of control and optimization can be used for operating the grid smartly.