@article{(Open Science Index):https://publications.waset.org/pdf/10000247,
	  title     = {Comparative Study of Line Voltage Stability Indices for Voltage Collapse Forecasting in Power Transmission System},
	  author    = {H. H. Goh and  Q. S. Chua and  S. W. Lee and  B. C. Kok and  K. C. Goh and  K. T. K. Teo},
	  country	= {},
	  institution	= {},
	  abstract     = {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. The
effectiveness of line voltage stability indices (LVSI) is differentiated
in this paper. The main purpose of the indices used is to predict the
proximity of voltage instability of the electric power system. On the
other hand, the indices are also able to decide the weakest load buses
which are close to voltage collapse in the power system. The line
stability indices are assessed using the IEEE 14 bus test system to
validate its practicability. Results demonstrated that the implemented
indices are practically relevant in predicting the manifestation of
voltage collapse in the system. Therefore, essential actions can be
taken to dodge the incident from arising.
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {9},
	  number    = {2},
	  year      = {2015},
	  pages     = {132 - 137},
	  ee        = {https://publications.waset.org/pdf/10000247},
	  url   	= {https://publications.waset.org/vol/98},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 98, 2015},