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Source-Grid Interaction of Wind Power Integration Systems

  • Book

  • April 2023
  • Elsevier Science and Technology
  • ID: 5671437

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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

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

Authors

Da Xie Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, P.R.China. His major research interests include renewable energy, multi-vector energy system, system simulation, power electronic equipment, and smart grid. Xitian Wang Associate Professor, Department of Electrical Engineering, Shanghai Jiao Tong University, China. His major research interests include dynamics, simulation and control of electromechanical interactions in power systems Yanchi Zhang Professor, Department of Electrical Engineering, Shanghai Dian Ji University, China. 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. Chenghong Gu Reader, Department of Electronic and Electrical Engineering, University of Bath, UK. His major research interests include multi-vector energy system, smart grid, and power economics.