Abstract
Power systems DC load-rejection may result in system dynamic overvoltages sometimes followed by generator self excitation. These overvoltages may be unacceptably high. The paper introduces a new pattern-recognition-based algorithm to predict power system load-rejection overvoltages. Using a power system digital simulation, a training set of a wide range of system loading conditions is created. A discriminant hyperplane is then derived to identify overvoltages, i.e. insecure conditions. In addition, a least squares method is incorporated to derive the relationship between the voltage security indices and postcontingency voltage deviations in the training process. A corrective algorithm based on the sensitivity analysis is also developed so that power system operators can take appropriate action at the appropriate time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEE Proceedings C Generation, Transmission and Distribution
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
