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Advanced Smart Grid Functionalities Based on PowerFactory

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Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Smart Grid Functionalities
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    Chapter 2 Python Scripting for DIgSILENT PowerFactory: Leveraging the Python API for Scenario Manipulation and Analysis of Large Datasets
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    Chapter 3 Smart Network Planning—Pareto Optimal Phase Balancing for LV Networks via Monte-Carlo Simulations
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    Chapter 4 Co-simulation with DIgSILENT PowerFactory and MATLAB: Optimal Integration of Plug-in Electric Vehicles in Distribution Networks
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    Chapter 5 Probabilistic Load-Flow Using Analysis Using DPL Scripting Language
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    Chapter 6 Dynamic Stability Improvement of Islanded Power Plant by Smart Power Management System: Implementation of PMS Logic
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    Chapter 7 Determining Wide-Area Signals and Locations of Regulating Devices to Damp Inter-Area Oscillations Through Eigenvalue Sensitivity Analysis Using DIgSILENT Programming Language
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    Chapter 8 Dynamic Stability Improvement of Islanded Power Plant by Smart Power Management System—Principles, Descriptions and Scenarios
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    Chapter 9 Wide-Area Measurement, Monitoring and Control: PMU-Based Distributed Wide-Area Damping Control Design Based on Heuristic Optimisation Using DIgSILENT PowerFactory
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    Chapter 10 Optimal PMU Placement Framework Under Observability Redundancy and Contingency—An Evolutionary Algorithm Using DIgSILENT Programming Language Module
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    Chapter 11 Implementation of Slow Coherency Based Controlled Islanding Using DIgSILENT PowerFactory and MATLAB
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    Chapter 12 Peer-to-Peer (P2P) MATLAB–PowerFactory Communication: Optimal Placement and Setting of Power System Stabilizer
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    Chapter 13 Implementation of the Single Machine Equivalent (SIME) Method for Transient Stability Assessment in DIgSILENT PowerFactory
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    Chapter 14 Generic DSL-Based Modeling and Control of Wind Turbine Type 4 for EMT Simulations in DIgSILENT PowerFactory
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Title
Advanced Smart Grid Functionalities Based on PowerFactory
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-50532-9
ISBNs
978-3-31-950532-9, 978-3-31-950531-2
Editors

Francisco Gonzalez-Longatt, José Luis Rueda Torres

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 24%
Researcher 7 24%
Unspecified 4 14%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Other 6 21%
Readers by discipline Count As %
Engineering 18 62%
Unspecified 6 21%
Computer Science 1 3%
Earth and Planetary Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 7%