International Journal of Energy and Power Engineering
Volume 4, Issue 2, April 2015, Pages: 51-64

On the Assessment of Power System Stability Using Matlab/Simulink Model

Abel Ehimen Airoboman1, Ignatius Kema Okakwu1, Akintude Samson Alayande2, Oluwasogo Emmanuel Seun3

1Department of Electrical/Electronics Engineering, University of Benin, Nigeria

2Department of Electrical Engineering, Faculty of Engineering and the Built Environment, Tshwane University of Technology, Private Bag X680, Pretoria 0001, Staatsartillerie Road, South Africa

3Department of Electrical and Computer Engineering, Kwara State University, Malete, Nigeria

Email address:

(A. E. Airoboman)
(I. K. Okakwu)
(A. S. Alayande)
(E. S. Oluwasogo)

To cite this article:

Abel Ehimen Airoboman, Ignatius Kema Okakwu, Akintude Samson Alayande, Oluwasogo Emmanuel Seun. On the Assessment of Power System Stability Using Matlab/Simulink Model. International Journal of Energy and Power Engineering. Vol. 4, No. 2, 2015, pp. 51-64. doi: 10.11648/j.ijepe.20150402.16


Abstract: Several voltage collapses have been experienced by most practical power systems in recent times in Nigeria. These have been mostly attributed to island formation within the network as a result of switching out of critical buses within the network. This paper assesses the stability of a practical power network of the Nigerian National Grid (NNG) with reference to a critical transmission line which could cause island formation as a result of fault within the NNG network. The Matlab/ Simulink model for both the steady-state and dynamic behaviours of the critical bus within NNG network is presented. The simulations for various fault conditions are also presented. The results obtained from the simulations are discussed. From the simulation results, high flow of reactive power and current, as a result of various faults along the transmission lines, were observed. Furthermore, non-sinusoidal waveforms generated from the simulation results show an indication that a high degree of compensation is required at the studied bus. The study uses Benin bus of NNG with respect to Benin-Onitsha-Alaoji 330-kV transmission network due to its location and sensitivity within the grid.

Keywords: Nigerian National Grid, Voltage Collapse, Island Formation, Critical Buses, Simulink Model


1. Introduction

Power system stability is a subject of great interest to power system planners and operators in recent times. In practical power systems, it is expected that power generation must be equal to power demand including losses to ensure constant speed and frequency of operation. Unfortunately, the load impressed on the system does fluctuate in a random fashion. It is therefore virtually impossible to accomplish equilibrium of power generation and power demand. An excess or deficiency in active power generation will always manifest. This mismatch normally results in frequency fluctuation which could culminate in system instability [1] . The load of the system may change gradually or suddenly. Sudden changes of load may be due to quick switching operations or sudden faults followed by tripping of lines, circuit breaker or load. Dynamic stability studies the system for a period of 4-10 seconds following a large disturbance such as a short circuit or loss of generation or loss of load because it leads to serious threat to system security and creates very difficult operating conditions [7].

The transmission system in Nigeria is characterized by several outages which may lead to disruption in the lives of the citizenry [2]. The Nigerian National Grid NNG has been characterized by so many constraints. These include ageing of transmission line [6], long transmission line lengths and lack of redundancy within the system. In addition to these, inadequacy in hydroelectric plants particularly during the dry season and vandalisation of electricity equipment are other challenges facing NNG [3].

This paper presents the stability of NNG with reference to the critical bus within the system. In section 2, brief description of the NNG network is presented. Section 3 gives the modelling and performance analysis of the system under study. The simulation results and analysis are presented in section 4. The results obtained are discussed in section 5; while the study is concluded in section 6.

2. The Nigerian Grid Network

Figure 1 shows the one-line diagram of a Nigerian 330KV grid network. The single circuit, Benin-Onitsha-Alaoji 330KV transmission network, is the critical line within the NNG network. Thus, it has no level of redundancy due to it single nature circuit unlike the double circuit transmission lines that has some level of redundancy [1]. The Nigerian 330KV transmission grid system is characterized by high power losses due to the very long transmission lines and its radial structure. Because only some of the lines has long transmission compared to others Some of the lines with their associated long transmission line lengths include Benin to Ikeja-West (280 Km), Oshogbo to Benin (251 Km), Oshogbo to Jebba (249 Km), Jebba to Shiroro (244 Km) Birnin-Kebbi to Kainji 310 Km (310km), Jos to Gombe (265 Km), Kaduna to Kano (230 Km). There could also be power loss along medium transmission lines such as Benin to Onitsha (137 Km), Onitsha to Alaoji (138 Km) [1]. Hence, it could therefore be concluded that the sensitivity of the Benin bus in the NNG cannot be overemphasized because of its connectivity to the northern, eastern, southern and western part of the country thereby making the bus a very sensitive bus in the grid as shown in figure 1. Thus, any fault along the bus could cause island formation and hence bring the entire grid to a total black out.

Figure 1. One-line diagram of Nigerian 330-kV Transmission Network [4]

3. Modelling and Performance Analysis of Benin-Onitsha-Alaoji 330-kV Transmission Network

Benin-Onitsha-Alaoji is a single circuit 330-kV transmission line. Therefore, faults along this line shall cause instability in the grid. In the case of a double circuit, load demand during fault could be served temporarily by the other circuit. A careful study of figure 1 shows that the Benin bus connects the Southern, Western, Eastern and Northern parts of NNG network. This connectivity thus makes the bus to be sensitive, and therefore prone to faults and voltage collapse of NNG system. Hence, there is the need for the stability assessment of the grid with respect to Benin bus. Table 1 shows the connection of Benin bus to other buses within NNG and their associated line lengths, resistances and reactances in per unit [8].

Many voltage collapses and faults have been experience and recorded by NNG. For instance, from the years 2009 to 2010, about 19.8% of the total voltage collapse is attributed to fault on Benin bus which is an indication that the bus is critical and needs to be studied [1]. Because this is a percentage value and could not possibly be compared with a simulated one. Also the scope of the work is more on analysis while future work will be carried out with respect to comparism.

The modelling of Benin-Onitsha-Alaoji 330-kV transmission network within NNG is carried out using a Matlab/Simulink model. The equivalent circuit of the network is modelled in Matlab/Simulink window as shown in figure 2, and the parameters of the network such as impedance, voltage rating, power and loads at the various buses, of the network are feed into the model and simulation carried out.

The model consists of two generating plants one of 1902 MVA and the second of1430 MVA operating at 12 kV line-to-line rating voltage. Plant 1 represents Delta and Sapele generating stations with installed capacity of 1902MW and Plant 2 represents Afam II-V and AfamVI generating stations with installed capacity of 1430MW. Plant 1 is connected to Benin Transmitting station and plant 2 is connected to Alaoji Transmitting station. The two plants are working to feed the Benin-Onitsha-Alaoji 330kV transmission lines having the thermal rating of 760 MVA. Plant 1 and 2 are modelled with Pref1 = 0.23922 and Pref2 = 0.26993 to represent the equivalent power availability of the generating stations of 455MW for plant 1 and 386MW for plant 2. Gotten when you divide the equivalent power availability by the equivalent capacity.

Figure 2. Matlab/Simulink model of Benin-Onitsha-Alaoji 330-kV transmission line

4. Simulation Results and Analysis

4.1. Steady-State Stability

The steady state simulation is performed to determine the normal power-flow of the network and its operating characteristics such as voltages, currents and power at the various buses. The power generated by two generating plants is transmitted to the lines serving the loads connected to the three buses, at B1 136 MW and 84MVAR, B2 236MW and 146MVAR, and 248MW and 153MVAR. The model simulation reached its steady state in 5s with the fault breaker in off-mode. The result obtained from the steady state simulation is tabulated in table 2. Figure 3 shows the steady-state waveform for voltages, currents, active and reactive power at the various buses.

Figure 3. Steady-state waveforms for voltages, currents, active power and reactive power at buses 1, 2 and 3

The vertical axis values are already shown in their various simulated result hence the values indicated here is the range that was used in the simulation. The yellow colur is for Bus 1 while the red and blue colour represents buses 2 and 3 respectively. In cases where not just the yellow lines are clearly seen but also other lines, it implies that two different buses may be having a simulated results that are approximately the same. Hence, the visible line in such cases are used to show the two different buses. For instance, the blue line in this case represents the simulated values of 1.5480&1.5470 for buses 1 and 2 with

Table 1. Line-data for the circuit under consideration

From Bus To Bus Length (km) R (p.u) X (p.u)
Benin Onitsha 137 0.0049 0.042
Benin Ajaokuta 195 0.0070 0.056
Benin Sapele 50 0.0018 0.014
Benin Delta 107 0.0020 0.019
Benin Omotosho 120 0.0043 0.037
Benin Osogbo 251 0.0089 0.0763
Benin Ikeja West 280 0.010 0.078

Table 2. Steady State Simulation Result

Bus Name Bus No Voltage (p.u) Current (p.u) P (MW) Q (MVAR)
Benin 1 0.96 1.55 149.20 6.35
Onitsha 2 0.96 1.55 149.10 3.47
Alaoji 3 0.96 0.14 13.45 3.45

4.2. Dynamic Stability

The dynamic state simulation is carried out with the same model putting the fault breaker into On-mode to simulate different fault conditions at the three buses. The faults simulated are single line-to-ground fault, double line-to-ground fault, three-phase-to-ground fault, line-to-line short circuit fault, and sudden drop out of generating plant. The various faults conditions simulated are used to ascertain and analysed the system collapse. The simulation time was set to 20s; the fault breaker was initiated at 5s and last for 2s Based on the mathematical solver used, the 20s helps us to get the best overview of the system anything short or less will not yield a desirable result before the fault is cleared by the circuit breakers. The automatic reclosure of the lines is initiated after 5s when the fault has been cleared.

Table 3. Dynamic State Simulation Results

Bus No Voltage (p.u) Current (p.u) P (MW) Q (MVAR)
Single line-to-ground fault results at bus 1
1 0.71 16.03 126.06 61.10
2 0.80 7.16 125.50 -146.10
3 0.88 7.10 8.95 -352.50
(B) Line-to-line short circuit fault result at bus 1
1 0.63 21.38 124.90 106.80
2 0.74 9.54 124.40 -155.00
3 0.86 9.5 8.30 -416.30
(C) Double line-to-ground fault results at bus 1
1 0.38 37.50 137.10 37.25
2 0.58 16.89 135.90 -505.10
3 0.78 16.83 65.14 -1048
(D) Three Phase-to-ground results at bus 1
1 8.806e-5 61.71 0.5433 0.013
2 0.33 27.64 -0.3279 -917
3 0.67 27.64 -16.87 -1840

Figure 4. Single line-to-ground fault waveforms for voltages, currents, active power and reactive power at bus 1

5. Discussion of Results

The simulation results of the steady state and dynamic faults analysis of Benin-Onitsha-Alaoji 330kV transmission line within NNG have been considered.燘ased on the steady-state simulation results, the highest fault current was observed in the three-phase-to-ground fault simulated in bus 1 while the single line-to-ground fault simulated into bus 1 has a voltage value close to the normal operating condition. The power-flow and the voltage for the line-to-line fault were within the normal condition of 330 KV while the lowest voltage profile was observed in the three-phase-to-ground fault. The three phase-to-ground faults into buses 1, 2 and 3 respectively have been simulated and their respective waveforms presented.

Figure 5. line-to-line short circuit fault waveforms for voltages, currents, active power and reactive power at bus 1

Table 4. Three phase-to-ground faults Result at Bus 1

Bus No Voltage (p.u) Current (p.u) P (MW) Q(Mvar)
1 8.806e-5 61.71 0.54 0.013
2 0.33 27.64 -0.33 -916.70
3 0.67 27.64 -16.87 -1840

When the fault was simulated into bus 1, a high current flow was observed. The result of the same fault simulated into bus 2 shows that a high reactive power flow was observed in bus 1 as well as a low voltage profile when compared to bus 3. The three phase-to-ground fault simulated into bus 3 also records a high reactive power flow when compared to other buses and also bus 3 records the highest power-flow. Interestingly, when there was a sudden drop in generating plant 1, a high reactive power-flow was observed in bus 1 when compared to buses 2 and 3.

Figure 6. Double line-to-ground fault waveforms for voltages, currents, active power and reactive power at bus 1

Based on the simulation results, it can thus be concluded when compared with the normal operating conditions that the Benin bus needs to be compensated. Furthermore, more substations need to be built so as to reduce the heavily loaded Benin bus. The execution of the third Benin-Onitsha double circuit transmission line should be expedited as these will improve on its active and reactive power flow, as well as improving on the sine wave generated.

Figure 7. Three phase-to-ground fault waveforms for voltages, currents, active power and reactive power at bus 1

Table 5. Three phase to ground faults Result at Bus 2

Bus No Voltage (p.u) Current (p.u) P (MW) Q (MVAR)
1 0.42 35.03 0.79 1473
2 2.765e-5 35.03 0.01597 -0.0955
3 0.51 42.27 -1.20 -2160

Table 6. Three phase to ground faults Result at Bus 3

Bus No Voltage (p.u) Current (p.u) P (MW) Q (MVAR)
1 0.59 24.37 13.47 1430
2 0.29 2 4.37 13.10 717.30
3 6.228e-5 24.36 0.064 -0.14

Figure 8. Three phase-to-ground fault waveforms for voltages, currents, active power and reactive power at bus 2

Table 7. Generating Plant 1 Dropout Result

Bus No Voltage(p.u) Current (p.u) P (MW) Q (MVAR)
1 1.50 8.43 -1257` 89.88
2 1.49 8.43 -1257 4.68
3 1.50 10.60 -1582 -131.20

Figure 9. Three phase-to-ground fault waveforms for voltages, currents, active power and reactive power at bus 3

Figure 10. Generating Plant 1 drop out waveforms for voltages, currents, active power and reactive power at bus 1

6. Conclusion

This paper has studied and analysed various dynamic faults along the transmission line of NNG with reference to Benin-Onitsha-Alaoji 330-kV transmission line. The simulation and analysis of the equivalent circuit for the network considered using Matlab/Simulink model has been presented.

Based on the results obtained, it is observed that the Benin bus is more prone to faults and hence, it can be concluded that the line should be compensated for the stability and hence security of the system. This paper researches on the needs to improve on the stability of the various buses in the NNG using the Benin bus as a reference bus. Matlab/Simulink model for the case study is presented. Both the steady-state and dynamic behaviour of the network of interest are analysed. Various types of fault for the system are simulated and analysed.


References

  1. Airoboman, A. E., Power System Dynamic State Stability Analysis: A case study of Benin-Onitsha-Alaoji 330kV Transmission Line (M.ENG Project University of Benin), 2012.
  2. Anil, P., Mark, H. & Graunt, T. R., .Estimation of Outages in Overhead Distribution Systems of South Africa and of Manhattan, Kansa, USA 7th International Conference on Power System Operation and Planning, Cape Town, South Africa, 2007.
  3. Ekeh, J.C., Electric Power Principles, 2003.
  4. Onohaebi, S. O., Power Transmission constraints and faults analysis in Nigeria Power System, 2007.
  5. Ndiagwalukwe, J. U., Frequency Control and Grid Stability.
  6. Ibe, A.O, & Okedu, E. K, A Critical Review of Grid Operations in Nigeria, Pacific Journal of Science and Technology, 2009.
  7. Gupta, B. R., Power System Analysis and Design, 1998.
  8. Ademola, A, Awosope, C.O.A, Adoghe, A.U & Okelola, M. O., Reliability Analysis of Circuit Breaker in the Nigerian 330-kV Transmission Network, 2014.
  9. A. S. Alayande, A. A. Jimoh & A. A. Yusuff, Voltage Profile Enhancement and Loss Reduction in Weak Meshed Networks, Proceedings of the IA STED International Conference, Power and Energy Systems (AfricaPES 2014), Gaborone, Botswana, September 2014.
  10. A. A. Fouad, V. Vittal and T.K.Oh,“Critical energy for the direct transient stability assessment of multi-machine power systems”, IEEE Trans.1984.
  11. L. Gyugyi, “Dynamic compensation of AC transmission line by solid-state synchronous voltage sources”, IEEE Trans. on Power Delivery, Vol. 9, No. 2, 1994.
  12. Kothari, M.L. and Tambey, N., Unified Power Flow Controller (UPFC) Based Damping Controller for Damping Low Frequency Oscilliation in a Power System, 2003.

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