PMU placement for dynamic state tracking of power systems

@article{Sun2011PMUPF,
  title={PMU placement for dynamic state tracking of power systems},
  author={Yannan Sun and Pengwei Du and Zhi Hai Huang and Karanjit Kalsi and Ruisheng Diao and Kevin K. Anderson and Yulan Li and Barry Lee},
  journal={2011 North American Power Symposium},
  year={2011},
  pages={1-7}
}
The complexity of power systems continue to increase as load demands grow and new energy technologies emerge. Efficient methodologies and instrumentation are needed for real-time monitoring and control of power systems. Accurately tracking the state variables (rotor angle and speed) is necessary for monitoring system stability conditions and assessing the risks of large-scale system collapse. Previous work proposed an extended Kalman filter (EKF) method, which makes use of data from phasor… CONTINUE READING

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