Exponential demand for electrical power supply caused by increased use of electricity at both domestic and industrial level pose threat to power system stability. The need to enhance power system with adequate compensation via reactive power supply becomes a necessity. This paper therefore presents application of auto-switched capacitor bank to mitigate voltage collapse problem; a case study of Osogbo South-Western, Nigeria. The proposed approach carefully design the correct size of capacitor required to supply the reactive power needed for compensation. The obtained values were used to model the power system. The modeled system was subjected to disturbances with a view to investigate its performance. The results obtained showed that the designed capacitor bank was able to stabilize the voltage on the line despite the heavy loads on the power system.

Modern transmission systems of today demand that amount of reactive power support in the system should be increased to mitigate attendant consequences of inadequate reactive power supply on the system [

Prominent and frequent manifestation of effect of inability of power system to provide adequate reactive power is voltage instability [

Auto- switch capacitor banks employed delay time usually within the range of 30 – 40 seconds between steps and the essence of this delay time is to ensure that the capacitors have discharged prior to being re-connected [

An auto-switch capacitor bank is a growing trend in providing power factor correction and improving system power factor. It is highly beneficial both to the power system and end users electrical/ electronic equipment. Its benefit to power system revolves around reduction in apparent power drawn from the ac source which in turn saves energy and minimizes the transmission losses and to the consumers; it is a mean of evading charges levied on them by the utilities company as a result of excessive reactive power consumed. Also, the electrical equipment operates correctly and reliably without being damaged or stressed when system power factor is close to unity [

This paper therefore presents application of auto-switched capacitor bank to mitigate voltage collapse problem on distribution system; a case study of Osogbo South-Western, Nigeria. The rest of this paper is organized as follows: Section 2 presents study location. Section 3 presents the materials and methods. Section 4 presents results and discussion while section 5 presents the conclusion and recommendation for future work.

Study Location: Osogbo South-Western, Nigeria.

In this study, the power system used as a case study is the Ibadan electricity distribution company (IBEDC) in Nigeria. Seven feeders were selected for analysis in Osogbo which belong to the control axis of IBEDC. The selected feeders are Oshogbo Township 33/11 kV, Power-line 33/11kV, Prism 33/11kV, Water Works 33/11 kV, Osogbo-Ikirun Township 33/11kV, Nigeria Machine Tool (NMT) 33/11kV and Steel Rolling Mill (SRM) 33/11kV.

The data required for this analysis are installed capacity of each feeder, the calibrated load, voltage level, existing power factor and the implementation tool used is MATLAB/ SIMULINK.

Analysis of Reactive Power Required for Compensation

In this work, the power factor of each feeder of interest was raised to close to unity; the procedural computational steps taken are as shown below;

Oshogbo Township 33/11 kV;

Installed capacity = 62.50MVA

Calibrated load = 25MW;

The power factor for this feeder is calculated thus;

p.f = P/S=(25×〖10〗^6)/(62.50×〖10〗^6 ) =0.40 ∅_(1 )=〖cos^(-1) (0.40)=〗〖〖66.42〗^° 〗 Q_1 = 25tan〖〖66.42〗^° 〗 = 57.28MVAR

If P = 1.73 IV QUOTE _x0001_ ; then at 11KV voltage with the power factor improved from 0.4 to 0.95. The reactive power is obtained thus;

v

Power-line 33/11kV;

Installed capacity = QUOTE _x0001_ MVA

Calibrated load = 20 MW

The power factor for this feeder is calculated thus

p.f= P/S=(20×〖10〗^6)/(30×〖10〗^6 ) =0.66 ∅_(1 )=cos^(-1)〖0.66=〖48.19〗^° 〗 Q_1 = 20tan〖〖48.19〗^° 〗 = 22.36MVAR

At 11kV voltage with the power factor improved from 0.66 to 0.95. The reactive power is obtained thus

Prison 33/11kV

Installed capacity = 36.50MVA

Calibrated load = 27MW

The power factor for this feeder is calculated thus;

p.f = P/S=(27×〖10〗^6)/(36.50×〖10〗^6 ) =0.74 ∅_(1 ) 〖cos^(-1) (0.74)=〗〖〖42.27〗^° 〗 Q_1 = 27tan〖〖42.27〗^° 〗 = 24.54MVAR P = 1.73 IVcos∅

At 11kV voltage level with the power factor improved from 0.476 to 0.95. The reactive power is obtained thus;

Water Works 33/11 kV

Installed capacity = 17.5MVA

Calibrated load = 25MW

The power factor for this feeder is calculated thus;

p.f = P/S=(25×〖10〗^6)/(25×〖10〗^6 ) = 1.0

*Since the power factor is 1, then no need for any compensation

Osogbo / Ikirun Township 33/11kV

Installed capacity = 36.5 MVA

Calibrated load = 20 MW

The power factor for this feeder is calculated thus;

p.f = P/S=(20×〖10〗^6)/(36.50×〖10〗^6 ) = 0.55 ∅_(1 )=cos^(-1)〖0.55=〖56.77〗^° 〗 Q_(1 )= 20tan〖〖56.77〗^° 〗 = 30.53MVAR

At 11kV voltage level with the power factor improved from 0.55 to 0.95. The reactive power is obtained thus;

Nigeria Machine Tool (NMT) 33/11kV

Installed capacity = 15 MVA

Calibrated load = 15 MW

The power factor for this feeder is calculated thus;

p.f = P/S=(15×〖10〗^6)/(15×〖10〗^6 ) = 1

*Since the power factor is 1, then no need for any compensation

Steel Rolling Mill (SRM) 33/11kV

Installed capacity = QUOTE _x0001_ MVA

Calibrated load = 15 MW

The power factor for this feeder is calculated thus;

p.f = P/S=(15×〖10〗^6)/(40×〖10〗^6 ) =0.375 ∅_(1 )=cos^(-1)〖0.375=〖67.98〗^° 〗 Q_1 = 15tan〖〖67.98〗^° 〗 =37.10MVAR

At 11kV voltage levelwith the power factor improved from 0.375 to 0.95. The reactive power is obtained thus;

For overall compensation

Total calibrated load = 147MW Total installed capacity = 238MVA System power factor = 147/( 238)=0.62 〖 ∅〗_(1 ) 〖=cos^(-1) (〗〖0.62)=〖51.86〗^° 〗 Q_(1 )= 147tan〖〖51.86〗^° 〗 = 187.18MVAR

At 11kV voltage level with the power factor improved from 0.62 to 0.95. The reactive power is obtained thus;

Modeling of the Power System with Voltage Collapse and Compensation

The developed system modeled using SIMULINK is as shown in Fig. 1. A disturbance load of 20MW was introduced into the transmission line. With the capacitor bank at stand-by, the behaviour of the power system was monitored from time t = 0 to time t = 1s. The capacitor bank size required for compensation at the Oshogbo 33kV load bus is approximately

The 210MVAR was split into three parallel sections of 70 MVAR each, and automatically switched separately according to the VAR compensation requirement of the loads to prevent system under voltage or over voltage which may lead to system collapse or equipment outage.

Figure 2 presents the effect of voltage magnitude variation against the stipulated time of investigation. It was observed that there was a great disturbance on the system at time 0.4s to 0.72 s, making the amplitude of the waveform of the measured voltage to be around 0.9 pu. Based on the graphical illustration below between 0.4 and 0.5 seconds a smaller voltage magnitude of less than 1.0 p.u and -1.0 p.u was observed.

From Fig.3, there was an increase in the amplitude of the current even up to ±2.5pu at the time range of 0.4.5s to 0.7.5 seconds due to the influence of the introduced disturbance. The reactive power absorbed increased even up to 96MVAR at time t = 0.35s before the compensation started at time t = 0.4s through 0.7s.

Critical observation of the graph illustrated by

Also, Fig 5 revealed that the reference voltage first decrease up to 095pu at time t = 004s before it started fluctuating even up to time t = 08s before it maintained stability up to time t = 1s The system experienced a great disturbance from time t = 04s to 07s; making the per unit value of the voltage to decrease up to 0917pu according to the graph in Fig 5 Each time the Thyristor-switched capacitor was switched on the thyristor-controlled reactor alpha angle changes suddenly from 180 degrees (no conduction) to 90 degrees (full conduction), as shown in Fig 5

Looking at Figure 6, every time a thyristor-switched capacitor is put into work, the thyristor-controlled reactor alpha angle suddenly changed from 100 degrees (conduction) to 180 degrees (non-conduction). However, when the thyristor-switched capacitor is switch off, the thyristor-controlled Reactor alpha angle suddenly changed from 180 degrees (no conduction) to 100 degrees (conduction).

From the graph of Fig. 7, it is observed that capacitor 1 was switched off at 0.14s before it was restored at 0.42s. Also, at time t = 0.43s, all the three capacitors were in action to stabilize the transmission line even up to time 0.7s before two of those capacitor were switched off leaving only one capacitor to compensate for the remaining time.

Figure8: Numbers of Thyristor-controlled Reactor Conduction

This paper presents application of auto-switched capacitor bank to mitigate voltage collapse problem on distribution system; a case study of Osogbo South-Western, Nigeria. Mathematical computation of reactive power required was done with current operating power factor raised to close unity with a view to determine and design the size of capacitor bank required to improve the voltage level of a 132/33kV substation with respect to its maximum load. Simulink modelling of the developed power system was done. The modelled system was subjected to disturbance, the behaviour of the system was critically observed, analyzed and graphical presentation was made.

A logical conclusion can be drawn that addition of correct size of capacitor bank helped to improve the voltage profile aimed at preventing system collapse due to overloading, line faults or high demand of reactive power demand when the system is inductive in nature. With this, it is hoped that if any of the capacitors or all the capacitor is switched-on Oshogbo transmission station which is 248MVA/33kV should be able to handle more loads. Likewise, with the use of a thyristor switched controller for the banks switching device, capacitor banks like Static Var Compensator (SVC) can help to prevent system collapse. Future work can embark on investigating the efficiency of the proposed approach using another different study location within Nigeria.