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Distributed Linear Programming Models in a Smart Grid

Overview of attention for book
Cover of 'Distributed Linear Programming Models in a Smart Grid'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Literature Review
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    Chapter 3 Energy Reallocation in a Smart Grid
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    Chapter 4 Resource Allocation Using Branch and Bound
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    Chapter 5 Resource Allocation Using DW Decomposition
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    Chapter 6 Implementation and Testing of the Dantzig-Wolfe Procedure
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    Chapter 7 Remarks About the Dantzig-Wolfe Scheme
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    Chapter 8 A Linear Classifier for Decision Support in a Smart Grid
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    Chapter 9 Maximization of the Utility Function, Time-Dependent Energy Allocation, and Fuzzy-Logic Resource-Allocation Models
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    Chapter 10 Placement of Synchrophasors Using Linear Programming and Zero-Injection Constraints
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    Chapter 11 Unbiased Optimal Power Flow (OPF) for Power Systems with Wind-Power Generation
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    Chapter 12 Smart-Grid Optimization Using A Capacitated Transshipment Problem Solver
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    Chapter 13 Decomposition of Microgrids in Large-Scale Electric Test Beds for Economic Dispatch Optimization
Attention for Chapter 10: Placement of Synchrophasors Using Linear Programming and Zero-Injection Constraints
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Chapter title
Placement of Synchrophasors Using Linear Programming and Zero-Injection Constraints
Chapter number 10
Book title
Distributed Linear Programming Models in a Smart Grid
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-52617-1_10
Book ISBNs
978-3-31-952616-4, 978-3-31-952617-1
Authors

Prakash Ranganathan, Kendall E. Nygard

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