E3S Web Conf.
Volume 181, 20202020 5th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2020)
|Number of page(s)||6|
|Section||Power and Energy Engineering|
|Published online||24 July 2020|
Dynamic grid fault analysis in wind power plant with DFIG by using supervisory control and data acquisition (SCADA) viewer
1 Africa Centre of Excellency in Energy for Sustainable Development, University of Rwanda, Rwanda
2 Africa Centre of Excellency in Energy for Sustainable Development, University of Rwanda, Rwanda
3 School of Education,University of Rwanda,, Rwanda
4 Department of Electrical and Electronics Engineering, Copperbelt University, Kitwe Zambia
* Corresponding author: email@example.com
Faults in electrical power systems are among the key factors and sources to network disturbances, however control strategies are among key faults clearing techniques for the sake of safe operational mode of the system.Some researchers have shown various limitations of control strategies such as slow dynamic response,inability to switch Off and On network remotely and fault clearing time. For a system with wind energy technologies, if the power flow of a wind turbine is interrupted by a fault, the intermediate-circuit voltage between the machine-side converter and line-side converter will fall in unacceptably high values.To overcome the aforementioned issues, this paper used a Matlab simulations and experiments in order to analyze and validate the results.The results showed that fault ride through (FRT) with SCADA Viewer software are more adaptable to the variations of voltage and wind speed in order to avoid loss of synchronism. Therefore at the speed of 12.5m/s a wind produced a rated power of 750W and remained in synchronization before and after a fault created and cleared but worked as generator meanwhile at speed of 3.4m/s wind disconnected from grid and started working as a motor and consumed active power (P=-25watts) and voltage dip at 100% .For the protection purpose, the DC chopper and crowbar should be integrated towards management of excess energy during faults cases.
© The Authors, published by EDP Sciences, 2020
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