Source-Grid Interaction of Wind Power Integration Systems
- 1st Edition - April 28, 2023
- Imprint: Elsevier
- Authors: Da Xie, Xitian Wang, Yanchi Zhang, Chenghong Gu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 7 4 8 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 1 0 4 - 3
Source-Grid Interaction of Wind Power Integration Systems systematically describes the problems of source-grid interactions of wind power grid-connected system, introducing relate… Read more
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Request a sales quoteSource-Grid Interaction of Wind Power Integration Systems systematically describes the problems of source-grid interactions of wind power grid-connected system, introducing related research methods and proposing a series of novel control methods for damping oscillations. The book presents problems to be solved, thus enabling easy understanding and perception, from detailed analysis of the problems, to mathematical derivations and simulation verification.
- Includes principles that can be used to analyze the operation and control of wind farms
- Presents models developed from basic to complex aspects that affect modeling accuracy
- Provides control methods and effectiveness verification based on rigorous theory and actual operational data
the designers and developers of wind turbine manufacturing plants, maintenance personnel of wind power generation companies and operation companies, engineers of power grid dispatching, operation and planning, Researchers in wind power engineering, Lecturers and students in electrical, engineering in higher-education institutions, Other readers interested in renewable energy
- Cover image
- Title page
- Table of Contents
- Copyright
- Chapter 1. Introduction
- 1.1. Overview of wind power development
- 1.2. Interaction between grid-connected wind power and power grid
- 1.3. Overview of research methods for the machine–grid interaction mechanism
- 1.4. Overview of control methods for machine–grid interaction
- 1.5. The main content of this book
- Chapter 2. Small-signal model for grid-connected wind turbines
- 2.1. Small-signal analysis method for system dynamic stability
- 2.2. Small-signal wind turbine model—shafting part
- 2.3. Mathematical model of doubly-fed induction generator
- 2.4. Mathematical model of permanent magnet synchronous generator
- 2.5. Mathematical model of power grid
- Chapter 3. Machine–grid interaction of wind power systems
- 3.1. Machine–network unified model of mainstream wind power systems
- 3.2. Initialization of small signal model
- 3.3. Machine–grid interaction of doubly-fed wind power generation system
- 3.4. Machine–grid interaction of permanent-magnet direct-drive wind power generation system
- 3.5. Influence of series compensation capacitor of transmission line on machine–grid interaction
- Chapter 4. Equivalent method, oscillation propagation mechanism, and observability and controllability metrics for multimachine wind farm models
- 4.1. General structure of wind farm and double-machine small-signal wind turbine model
- 4.2. Small-signal model analysis of multimachine wind farm
- 4.3. Equivalence and reduced-order distributed cloud algorithm for large-scale wind power plants
- 4.4. Subsynchronous oscillation power propagation mechanism of wind power generation system
- 4.5. Controllability and observability metrics
- Chapter 5. Impedance analysis of grid-connected wind turbines
- 5.1. Impedance analysis for dynamic system stability
- 5.2. Impedance model for doubly-fed wind turbines
- 5.3. Impedance model of permanent-magnet direct-drive wind turbine
- 5.4. Grid impedance model
- 5.5. Wind farm impedance model
- 5.6. Example of wind farm impedance modeling
- 5.7. Analysis of characteristics of the loop under subsynchronous interaction in wind power systems
- Chapter 6. Suppression of source–grid interaction
- 6.1. Suppression strategy of wind turbine side
- 6.2. Suppression effect of reactive power compensation device
- 6.3. Suppression effect of high-voltage DC converter station on source–grid interaction
- 6.4. Suppression effect of energy storage system on the source–grid interaction
- 6.5. Additional power system stabilizer control for source–grid interaction suppression
- Chapter 7. Online identification of wind turbine network interaction based on big data
- 7.1. Overview of wind power big data
- 7.2. Oscillation identification
- 7.3. Analysis of oscillation correlation factors
- 7.4. Research on location technology of oscillation disturbance source based on multisignal correlation analysis
- Chapter 8. Power quality of wind farms
- 8.1. Overview
- 8.2. Detection of wind power quality
- 8.3. Measurement analysis of integer-order and high-order harmonics
- 8.4. Interharmonic analysis of wind power generation
- 8.5. Characteristic harmonic model of variable-speed constant-frequency wind turbine
- 8.6. Harmonic phase analysis of wind power generation
- 8.7. Flicker of wind power generation
- Index
- Edition: 1
- Published: April 28, 2023
- No. of pages (Paperback): 618
- No. of pages (eBook): 618
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780323997485
- eBook ISBN: 9780323951043
DX
Da Xie
His major research interests include renewable energy, multi-vector energy system, system simulation, power electronic equipment, and smart grid.
Affiliations and expertise
Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, P.R.ChinaXW
Xitian Wang
His major research interests include dynamics, simulation and control of electromechanical interactions in power systems
Affiliations and expertise
Associate Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, ChinaYZ
Yanchi Zhang
He is mainly committed to new energy power generation and smart grid research. He has participated in and led a number of scientific research projects, sponsored by national science and technology research, and the National Natural Science Foundation of China.
Affiliations and expertise
Professor, Department of Electrical Engineering, Shanghai Dian Ji University, ChinaCG
Chenghong Gu
His major research interests include multi-vector energy system, smart grid, and power economics.
Affiliations and expertise
Reader, Department of Electronic and Electrical Engineering, University of Bath, UKRead Source-Grid Interaction of Wind Power Integration Systems on ScienceDirect