Da Xie,
Da (Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, P.R.China) Xie,
Xitian Wang,
Xitian (Associate Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, China) Wang,
Yanchi Zhang,
Yanchi (Professor, Department of Electrical Engineering, Shanghai Dian Ji University, China) Zhang,
Chenghong Gu,
Chenghong (Reader, Department of Electronic and Electrical Engineering, University of Bath, UK) Gu
e.a.
Source-Grid Interaction of Wind Power Integration Systems
Paperback Engels 2023 9780323997485Levertijd ongeveer 9 werkdagen
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Samenvatting
Source-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.
Specificaties
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
1. introduction
2. The small-signal model of wind power grid-connected system
3. Source-grid Interaction of wind power grid-connected system
4. The equivalence method, propagation mechanism and observability and controllability metrics of wind farm
5. The impedance analysis method of wind turbines grid-connected system
6. Suppression method of source-grid interaction of wind power grid-connected system
7. On-line identification of wind turbine network interactions based on big data
8. Power Quality issues in wind farms
2. The small-signal model of wind power grid-connected system
3. Source-grid Interaction of wind power grid-connected system
4. The equivalence method, propagation mechanism and observability and controllability metrics of wind farm
5. The impedance analysis method of wind turbines grid-connected system
6. Suppression method of source-grid interaction of wind power grid-connected system
7. On-line identification of wind turbine network interactions based on big data
8. Power Quality issues in wind farms
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