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Control and Optimization Methods for Electric Smart Grids

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Cover of 'Control and Optimization Methods for Electric Smart Grids'

Table of Contents

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    Book Overview
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    Chapter 1 Toward Sensing, Communications and Control Architectures for Frequency Regulation in Systems with Highly Variable Resources
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    Chapter 2 Dynamic Competitive Equilibria in Electricity Markets
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    Chapter 3 Optimal Demand Response: Problem Formulation and Deterministic Case
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    Chapter 4 Wholesale Energy Market in a Smart Grid: A Discrete-Time Model and the Impact of Delays
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    Chapter 5 Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking Using Multirate Economic Model Predictive Control
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    Chapter 6 Smart Vehicles in the Smart Grid: Challenges, Trends, and Application to the Design of Charging Stations
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    Chapter 7 Models for Impact Assessment of Wind-Based Power Generation on Frequency Control
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    Chapter 8 Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization
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    Chapter 9 Coherent Swing Instability of Interconnected Power Grids and a Mechanism of Cascading Failure
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    Chapter 10 Toward a Highly Available Modern Grid
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    Chapter 11 Models and Control Strategies for Data Centers in the Smart Grid
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    Chapter 12 Electrical Centrality Measures for Power Grids
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    Chapter 13 Optimal Charging Control for Plug-In Electric Vehicles
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    Chapter 14 Risk Analysis of Coordinated Cyber Attacks on Power Grid
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    Chapter 15 Synchronous Measurements in Power Distribution Systems
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    Chapter 16 The Influence of Time Delays on Decentralized Economic Dispatch by Using Incremental Cost Consensus Algorithm
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    Chapter 17 An Adaptive Wide-Area Power System Damping Controller using Synchrophasor Data
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    Chapter 18 A Model Reference Approach for Interarea Modal Damping in Large Power Systems
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Citations

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Title
Control and Optimization Methods for Electric Smart Grids
Published by
Springer-Verlag New York, January 2012
DOI 10.1007/978-1-4614-1605-0
ISBNs
978-1-4614-1604-3, 978-1-4614-1605-0, 978-1-4899-9709-8
Editors

Aranya Chakrabortty, Marija D. Ilić

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 2 <1%
France 2 <1%
Germany 1 <1%
United Arab Emirates 1 <1%
Turkey 1 <1%
Cyprus 1 <1%
Colombia 1 <1%
Chile 1 <1%
Italy 1 <1%
Other 5 2%
Unknown 205 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 30%
Student > Master 35 16%
Researcher 25 11%
Student > Doctoral Student 15 7%
Student > Bachelor 12 5%
Other 43 19%
Unknown 24 11%
Readers by discipline Count As %
Engineering 146 66%
Energy 9 4%
Mathematics 8 4%
Computer Science 7 3%
Business, Management and Accounting 4 2%
Other 13 6%
Unknown 34 15%