Since a couple of decades ago, voltage stability assessment has received increasing attention due to the complexity of power systems. With the increase in power demand and limited power sources has caused the system to operate at its maximum capacity. Therefore, a study that is able to determine the maximum capacity limit before voltage collapse must be carried out so that necessary precaution can be taken to avoid system capacity violation. This paper presents a novel fast voltage stability index (FVSI) simplified from a pre-developed voltage stability index referred to a line initiated from the voltage quadratic equation at the sending end of a representation of a 2-bus system. The line index in the interconnected system in which the value that is closed to 1.00 indicates that the line has reached its instability limit which could cause sudden voltage drop to the corresponding bus caused by the reactive load variation. The formulated index was tested on the IEEE reliability test system in order to verify the performance of the proposed indicator. Results showed that the proposed technique is indicative in predicting the occurrence of system collapse and hence necessary action can be taken to avoid such incident.
[1]
Chen-Sung Chang,et al.
Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements
,
1998
.
[2]
A. A. El-Keib,et al.
Application of artificial neural networks in voltage stability assessment
,
1995
.
[3]
Wenyuan Li,et al.
Large scale voltage stability constrained optimal VAr planning and voltage stability applications using existing OPF/optimal VAr planning tools
,
1999
.
[4]
Mahmoud Moghavvemi,et al.
Technique for contingency monitoring and voltage collapse prediction
,
1998
.
[5]
Thierry Van Cutsem,et al.
Voltage Stability of Electric Power Systems
,
1998
.
[6]
T. Carlsen,et al.
Voltage stability condition in a power transmission system calculated by sensitivity methods
,
1990
.
[7]
Thomas J. Overbye,et al.
An energy based security measure for assessing vulnerability to voltage collapse
,
1990
.