ABSTRACT
Power system voltage instability often results in voltage collapse and/or system blackout
which is a source of concern for power network operators and consumers. This work
proposes a new line stability index that is suitable for investigating the voltage stability
condition of Power System Networks (PSNs). This index, which is called the New Line
Stability Index-1 (NLSI_1), is derived from first principles and shown to incorporate the
Line Stability Index (Lmn) and the Fast Voltage Stability Index (FVSI), with an
associated switching logic based on the voltage angle difference since it can indicate the
incidence of voltage collapse. The NLSI_1 aims at improving the accuracy and speed of
identifying the weakest bus associated critical lines with respect to a bus for purposes of
optimally placing compensation devices as well as investigating the effect of increasing
reactive power loading on the PSN. The developed index (NLSI_1) was tested on the
IEEE 14-bus system and the present 28-bus, 330-kV Nigeria National Grid (NNG) using
a program coded in the MATLAB environment. The three indices were then simulated
for the base case and the contingency – variation of the reactive loads in the network.
For the base case, the IEEE 14-bus test system was stable with all the three indices
approximately equal and < 1 for all the lines. Contingency simulations were carried out
revealing that bus 14 ranks as the weakest bus of the system, with the smallest reactive
load of 74.6 MVAr among the load buses. The values of the indices, Lmn, FVSI and
NSLI_1 are approximately equal for the IEEE 14-bus system thereby validating the
efficacy of the new line stability index-1 (NLSI_1). For the NNG system, the power
flow solution showed that the voltage profiles for load buses 9, 13,14,16,19 and 22
(Kano, Gombe, New Haven, Jos, Ayede and Onitsha, respectively) have voltage
magnitudes 0.932, 0.905, 0.949, 0.844. 0.93, and 0.818 p.u, respectively against the
voltage criterion of 0.95 p.u. These low voltages are indication that the network buses
are prone to voltage instability. The base case of the NNG simulation values for all
three indices (Lmn, FVSI and NLSI_1) were less than unity (
Adekunle, S (2021). A New Voltage Stability Index For Predicting Voltage Collapse In Electrical Power System Networks. Afribary. Retrieved from https://tracking.afribary.com/works/a-new-voltage-stability-index-for-predicting-voltage-collapse-in-electrical-power-system-networks-1
Adekunle, SAMUEL "A New Voltage Stability Index For Predicting Voltage Collapse In Electrical Power System Networks" Afribary. Afribary, 20 May. 2021, https://tracking.afribary.com/works/a-new-voltage-stability-index-for-predicting-voltage-collapse-in-electrical-power-system-networks-1. Accessed 22 Dec. 2024.
Adekunle, SAMUEL . "A New Voltage Stability Index For Predicting Voltage Collapse In Electrical Power System Networks". Afribary, Afribary, 20 May. 2021. Web. 22 Dec. 2024. < https://tracking.afribary.com/works/a-new-voltage-stability-index-for-predicting-voltage-collapse-in-electrical-power-system-networks-1 >.
Adekunle, SAMUEL . "A New Voltage Stability Index For Predicting Voltage Collapse In Electrical Power System Networks" Afribary (2021). Accessed December 22, 2024. https://tracking.afribary.com/works/a-new-voltage-stability-index-for-predicting-voltage-collapse-in-electrical-power-system-networks-1