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Advanced Control and Optimization Paradigms for Wind Energy Systems

Overview of attention for book
Cover of 'Advanced Control and Optimization Paradigms for Wind Energy Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Nonlinear Modeling, Analysis and Simulation of Wind Turbine Control System With and Without Pitch Control as in Industry
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    Chapter 2 Distributed Cooperative Control of Wind Farms with On-site Battery Energy Storage Systems
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    Chapter 3 Sensitivity Analysis of Frequency Regulation Parameters in Power Systems with Wind Generation
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    Chapter 4 Wind Turbines Integration into Power Systems: Advanced Control Strategy for Harmonics Mitigation
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    Chapter 5 Power Conversion and Predictive Control of Wind Energy Conversion Systems
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    Chapter 6 Adaptive Guaranteed Performance Control of Wind Energy Systems
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    Chapter 7 Machine Learning and Meta-heuristic Algorithms for Renewable Energy: A Systematic Review
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    Chapter 8 Design of a Supervisory Control System Based on Fuzzy Logic for a Hybrid System Comprising Wind Power, Battery and Ultracapacitor Energy Storage System
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    Chapter 9 Neural-Based P-Q Decoupled Control for Doubly Fed Induction Generator in Wind Generation System
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    Chapter 10 An Indirect Adaptive Control Paradigm for Wind Generation Systems
Attention for Chapter 3: Sensitivity Analysis of Frequency Regulation Parameters in Power Systems with Wind Generation
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Citations

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Chapter title
Sensitivity Analysis of Frequency Regulation Parameters in Power Systems with Wind Generation
Chapter number 3
Book title
Advanced Control and Optimization Paradigms for Wind Energy Systems
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-13-5995-8_3
Book ISBNs
978-9-81-135994-1, 978-9-81-135995-8
Authors

Julian Patiño, José David López, Jairo Espinosa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Chemical Engineering 1 17%
Unknown 3 50%

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