Development of early warning methods for voltage instability in electric power system
Voltage collapse is still the biggest threat to the transmission system. It will involve large disturbance, non-linear and discontinuous dynamics. There are many approaches that have been explored to predict the distance of the point of voltage collapse. However, it is still lack of information that...
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| Format: | Thesis |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4756/ http://eprints.uthm.edu.my/4756/1/tai_chia_wuen.pdf |
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| Summary: | Voltage collapse is still the biggest threat to the transmission system. It will involve
large disturbance, non-linear and discontinuous dynamics. There are many
approaches that have been explored to predict the distance of the point of voltage
collapse. However, it is still lack of information that related to current system state.
With the latest Phasor Measurement Units (PMU) technology, it can provide an
alternate pathway to improve the current power system state estimation. Hence, it
was of interest to develop better methods that could give an early warning for voltage
collapse. This project report concerns the development of methods that can provide
in a real time system monitoring fiom PhIU for an early warning of voltage collapse
in the electric power systems. The algorithm to predict the distance of the points of
collapse is based on the assumption that voltage instability is closely related to
maximum loadability of a transmission network, thus the Thevenin impedance is
equal to the apparent load impedance at the points of collapse. Few methods were
being implemented to track the Thevenin equivalent parameters in order to get the
Thevenin impedance and its voltage. Performance of the methods used in this project
is based on the analyzed results for the points of voltage collapse. |
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