Evaluation for voltage stability indices in power system using Artificial Neural Network
At present, the evaluation of voltage stability assessment experiences sizeable anxiety in the safe operation of power systems. This is due to the complications of a strain power system. With the snowballing of power demand by the consumers and also the restricted amount of power sources, therefore,...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2015
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1016/j.proeng.2015.08.454 http://dx.doi.org/10.1016/j.proeng.2015.08.454 http://eprints.uthm.edu.my/7430/1/goh_hui_hwang_U.pdf |
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| Summary: | At present, the evaluation of voltage stability assessment experiences sizeable anxiety in the safe operation of power systems.
This is due to the complications of a strain power system. With the snowballing of power demand by the consumers and also the
restricted amount of power sources, therefore, the system has to perform at its maximum proficiency. Consequently, the
noteworthy to discover the maximum ability boundary prior to voltage collapse should be undertaken. A preliminary warning can
be perceived to evade the interruption of power system’s capacity. This paper considered the implementation of real-time system
monitoring methods that able to provide a timely warning in the power system before the voltage collapse occurred. Numerous
types of line voltage stability indices (LVSI) are differentiated in this paper to resolve their effectuality to determine the weakest
lines for the power system. The line voltage stability indices are assessed using the IEEE 9-Bus and IEEE 14-Bus Systems to
validate their practicability. Besides that, this paper also introduced the implementation of real-time voltage stability monitoring
by using Artificial Neural Network (ANN). Results demonstrated that the calculated indices and the estimated indices by using
ANN are practically relevant in predicting the manifestation of voltage collapse in the system. Therefore, essential actions can be
taken by the operators in order to dodge voltage collapse incident from arising. |
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