@article { author = {Hajnorouzi, A. A. and Aminifar, F. and Shayanfar, H. A.}, title = {Generation rejection scheme based on a combinational rotor angle trajectory prediction}, journal = {Scientia Iranica}, volume = {28}, number = {Special issue on collective behavior of nonlinear dynamical networks}, pages = {1579-1591}, year = {2021}, publisher = {Sharif University of Technology}, issn = {1026-3098}, eissn = {2345-3605}, doi = {10.24200/sci.2019.54136.3611}, abstract = {This paper presents a response-based generating rejection scheme (GRS) based on an angular stability prediction logic to initiate the outage of accelerated generating units while saving the rest of generating units from the loss of synchronism. First trigonometric, polynomial, and hybrid models of rotor angle trajectory based on the reasonable assumptions are proofed. Then, by taking these models in the prediction step, through the maximum use of measured data based on defining the forecast horizon (FH) and data window with incremental length, the stability/instability of generating units is separately predicted. Next, the status of tripping signal based on a combinational logic of the output results of the angular stability prediction method is specified. In the developed logic, if at least two models of the three designated models yield the same response about the unit stability status, the trip signal is accordingly fired or blocked. The proposed method is examined on the one machine infinite bus and the WSCC standard test bed under different operation and fault scenarios. The obtained results demonstrate that beside simplicity, low computational burden, and very short processing time, the proposed combinatorial method outperforms the existing ones working with individual prediction models.}, keywords = {transient stability,response-based generation rejection scheme (GRS),phasor measurement unit (PMU),angular stability prediction,rotor angle trajectory}, url = {https://scientiairanica.sharif.edu/article_21690.html}, eprint = {https://scientiairanica.sharif.edu/article_21690_43fcef38ca7e18af8a390c5e91ce4342.pdf} }