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Enhancement of Transient Stability of the Nigeria 330 kV Transmission Network Using Fault Current Limiter

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*SFCL*) to improve the transient stability of the Nigeria 330 kV Transmission Network. During a large disturbance, the rotor angle of the generator is enhanced by connecting a Fault Current Limiter (FCL) which reduces the fault current and hence, increases transient stability of the power network. In this study, the most affected generator was taken into consideration in locating the

*SFCL*. The result obtained reveals that the Swing Curve of the generator without FCL increases monotonically which indicates instability, while the Swing Curve of the System with FCL reaches steady state.

1. Introduction

Although, the occurrence of disturbances within power networks cannot be avoided, its impact which undermines the security margin of the system could be minimized. This usually resulted to the instability in the operation of power systems. This challenge therefore poses a great concern to power system researchers recently. In resolving this issue, there is the need to evaluate the ability and response of a power network when subjected to various disturbances with the aim of maintaining the network reliability. Instability in power system networks is of various types based on the duration. When a power system is subjected to a disturbance, the network may experience loss of synchronism which could result to total voltage collapse within the network. This explains why transient stability enhancement is of paramount importance in the operation of power system. Different techniques for enhancing transient stability of a multi-machine power system have been proposed in the literature [1] . These techniques include: reduction in system transfer reactance, use of breaking resistor, use of bundled conductor, use of fault current limiter and the placement of FACTS devices [2] . As the power network becomes more complex, the consequence is that the fault current increases, and transient stability problem becomes more severe. The use of fault current limiter (FCL) has been identified as one of the necessary elements required to limit the fault current and invariably enhance the power system transient stability [3] . On the other hand, superconductor fault current limiter (SFCL) plays a better role in limiting fault current during fault. SFCL offers low impedance (near zero) during normal operation, hence, does not interfere during steady state operation of the system. In the event of a fault, the SFCL quenches and this phenomenon causes a fast raise of the limiter impedance up to a value needed for limiting the fault current. The impedance of SFCL can change the transient stability of power system [4] . The presence of SFCL in a power system can improve the system stability and distributed energy quality [5] .

In the literatures, a number of studies have so far been done on transient stability improvement of power systems. Sheeba et al. [6] use FCL and SVC to enhance transient stability of IEEE 59-bus test system using ETAP Software. Masaki et al. [7] investigates the effect of FCL and Thyristor Controlled Braking Resistor (TCBR) on transient stability of IEEE 9-bus test system. Byung et al. [8] , this paper describes the optimal sizing of a Resistive Superconducting Fault Current Limiter (RSFCL) applied to a multi-machine power system. The optimized SFCL generally gives the best damping performance for low-frequency oscillations. Heresh et al. [9] presents the application of FCL for reduction of fault current in a high voltage substation. Fereidouni et al. [10] evaluated the effects of the use of Solid-State Fault Current Limiter (SSFCL) unit on the transient stability of power systems and power quality. This paper focuses on the improvement of transient stability of the Nigeria 330 kV transmission network using Inductive-Type Superconductor Fault Current Limiter (ISFCL).

2. The Nigeria 330 kV Transmission Network

The Nigeria 330 kV transmission network used as the case study in this paper is shown in Figure 1. It consists of eleven (11) generators, twenty-one (21) load buses and thirty-six (36) transmission lines, which cut across the six (6) Geo-political zone (South-West, South-South, South-East, North-Central, North-West and North-East Region) of the country with long radial interconnected transmission lines as depicted in Figure 1.

Figure 1. Single line diagram of the Nigeria 330 kV transmission network.

The Nigeria 330 kV grid network is becoming more complex due to the recent deregulation in the Power Sector of the Economy to meet the ever-increasing energy demand [11] . Due to varying load demand, fragile nature of the transmission network, lack of sensitive equipment and frequent outages due to disturbances which result to instability. Assessing the network performance will involve system stability studies. System Stability may involve transient stability studies on the network.

3. Mathematical Modeling of a Multi-Machine Transient Stability Analysis

Consider a multi-machine n-bus power network consisting of m number of generators such that n > m. At any bus i within the system, the complex voltages (V_{i}), generators real power (P_{gi}) and the generator reactive power (Q_{g}_{i}) can easily be obtained from the pre-fault load-flow analysis from which the initial machine voltages (E_{i}) can also be obtained. This relationship can be expressed as [12]

${E}_{i}={V}_{i}+j{X}_{i}\left[\frac{{P}_{gi}-j{Q}_{gi}}{{V}_{i}^{*}}\right]$ (1)

where

X_{i} is the equivalent reactance at bus i.

By converting each load bus into its equivalent constant admittance form, we have [13]

${Y}_{L}{}_{i}=\frac{{P}_{Li}-jQ{}_{Lj}}{{\left|{V}_{i}\right|}^{2}}$ (2)

where ${P}_{Li}$ and ${Q}_{Li}$ are the respective equivalent real and reactive powers at each load bus.

The pre-fault bus admittance matrix [ ${Y}_{bus}$ ] can therefore be formed with the inclusion of generators reactance and the converted load admittance. This can be partition as [14] :

${Y}_{bus}=\left[\begin{array}{cc}{Y}_{11}& {Y}_{12}\\ {Y}_{21}& {Y}_{22}\end{array}\right]$ (3)

where ${Y}_{11},$ ${Y}_{12},$ ${Y}_{21}$ and ${Y}_{22},$ are the sub-matrices of ${Y}_{bus}$ . Out of these four sub-matrices, ${Y}_{11},$ whose dimension is $m\times m$ is the main interest of this paper as it contains generator buses only with the load buses eliminated.

Equation (3) is formulated for the network conditions such as pre-fault, during fault and post-fault. The ${Y}_{bus}$ for the network is then formulated by eliminating all nodes except the internal generator nodes. The reduction is achieved based on the fact that injections at all load nodes are zero. The nodal equations, in compact form, can therefore be express as [15]

$\left[\begin{array}{l}1\\ 0\end{array}\right]=\left[\begin{array}{cc}{Y}_{mm}& {Y}_{mn}\\ {Y}_{nm}& {Y}_{nn}\end{array}\right]\left[\begin{array}{l}{V}_{m}\\ {V}_{n}\end{array}\right]$ (4)

By expansion, Equation (4) can be expanded as

${I}_{m}={Y}_{mm}{V}_{m}+{Y}_{mn}{V}_{n}$ (5)_{ }

and

$0={Y}_{nm}{V}_{m}+{Y}_{nn}{V}_{n}$ (6)

By combining Equation (5) and Equation (6) and some mathematical manipulations, the desired reduced admittance matrix can be obtained as

${Y}_{reduced}={Y}_{mm}-{Y}_{mn}{Y}_{nn}^{-1}{Y}_{nm}$ (7)

${Y}_{reduced}$ is the desired reduced matrix with dimension $m\times m,$ where m is the number of generators.

The electrical power output of each machine can then be written as [16]

${P}_{ei}={E}_{i}^{2}\text{\hspace{0.17em}}{Y}_{ii}\mathrm{cos}{\theta}_{ii}+{\displaystyle \underset{\begin{array}{l}i=1\\ j\ne i\end{array}}{\overset{m}{\sum}}\left|{E}_{i}\right|}\text{\hspace{0.17em}}\left|{E}_{j}\right|\text{\hspace{0.17em}}\left|{Y}_{ij}\right|\text{\hspace{0.17em}}Cos\left({\theta}_{ij}-{\delta}_{i}+{\delta}_{j}\right)$ (8)

Equation (8) is use to determine the electrical power output of the generator during fault ${P}_{ei}$ $\left({P}_{ei}{}_{\left(during-fault\right)}\right)$ and post-fault ${P}_{ei}$ $\left({P}_{ei}{}_{\left(during-fault\right)}\right)$ conditions.

The rotor dynamics, representing the swing equation, at any bus i, is given by

$\frac{{H}_{i}}{\pi {f}_{o}}\text{\hspace{0.17em}}\frac{{\text{d}}^{2}{\delta}_{i}}{\text{d}{t}^{2}}+{D}_{i}\frac{{\text{d}}_{i}}{\text{d}t}={P}_{mi}-{P}_{ei}$ (9)

All the parameters retain their usual meanings.

Consider a case when there is no damping i.e. ${D}_{i}=0$ , Equation (9) can be re-written as [17]

$\frac{{H}_{i}}{\pi {f}_{o}}\text{\hspace{0.17em}}\frac{{\text{d}}^{2}{\delta}_{i}}{\text{d}{t}^{2}}={P}_{mi}\_\left({E}_{i}^{2}\text{\hspace{0.17em}}{Y}_{ii}\mathrm{cos}{\theta}_{ii}+{\displaystyle \underset{\begin{array}{l}i=1\\ j\ne i\end{array}}{\overset{m}{\sum}}\left|{E}_{i}\right|}\text{\hspace{0.17em}}\left|{E}_{j}\right|\text{\hspace{0.17em}}\left|{Y}_{ij}\right|\text{\hspace{0.17em}}Cos\left({\theta}_{ij}-{\delta}_{i}+{\delta}_{j}\right)\right)$ (10)

\The swing equation for the during-fault condition can easily be express as

$\frac{{H}_{i}}{\pi {f}_{o}}\text{\hspace{0.17em}}\frac{{\text{d}}^{2}{\delta}_{i}}{\text{d}{t}^{2}}={P}_{mi}-{P}_{ei}{}_{\left(during-fault\right)}$ (11)

Similarly, the swing equation for the post fault condition can be written as

$\frac{{H}_{i}}{\pi {f}_{o}}\text{\hspace{0.17em}}\frac{{\text{d}}^{2}{\delta}_{i}}{\text{d}{t}^{2}}={P}_{mi}-{P}_{ei}{}_{\left(post-fault\right)}$

4. Modeling of Inductive-Type Superconductor Fault Current Limiter

The FCL consist of a controller, a detector and a limiting resistance/reactance that helps to limit fault current during fault and improve the transient stability of power system. Figure 2 shows the variation of the limiting resistance with time.

The limiting resistance value is assume to be 1 p∙u and the fault detection time and starting of the limiting resistance are 2 ms and 1 ms respectively. This means FCL starts to operate at 0.102 sec, and then the limiting resistance increases linearly from 0.0 p∙u to 1.0 p∙u within 1ms.

Consider a synchronous generator connected to an infinite bus system as shown in Figure 3.

Figure 2. FCL characteristics.

Figure 3. Single machine infinite bus.

Figure 4. ISFCL installed in a line feeder.

Figure 5. Equivalent circuit when ISFCL is installed in line feeder.

Figure 6. Equivalent circuit when ISFCL is installed in generator-transformer feeder.

The maximum power transferred from the generator to the system is given by a well-known expression:

${P}_{\mathrm{max}}=\frac{\left|V\right|\text{\hspace{0.17em}}\left|E\right|}{{X}_{eq}\text{\hspace{0.17em}}}\text{\hspace{0.17em}}Sin\delta $ (12)

${X}_{eq}={X}_{d}+{X}_{t}+\frac{{X}_{L}}{2}$ (13)

where X_{d} = reactance of generator, X_{t} = reactance of transformer, X_{L} = reactance of line.

Note that the values of resistances are small when compared with inductances; hence, all resistances are negligible.

Also, consider ISFCL installed in a line feeder of Figure 3 as shown in Figure 4.

The equivalent circuit is shown below in Figure 5.

Using Delta-star transformation, the equivalent reactance obtained during fault is given by Equation (14):

${X}_{eq}={X}_{d}+{X}_{t}+{X}_{L}+\frac{\left({X}_{d}+{X}_{t}\right)+{X}_{L}}{{X}_{SFCL}}$ (14)

When the fault is cleared after opening the breaker, the equivalent reactance obtained after fault is given by Equation (15):

${X}_{ea}={X}_{d}+{X}_{t}+{X}_{L}$ (15)

Furthermore, with ISFCL installed in the generator-transformer feeder, the equivalent circuit is shown in Figure 6.

In the case of a 3-phase fault at point A, the power transfer during fault is equal to zero. The equivalent reactance obtained after fault is cleared by opening of breaker is given by Equation (16):

${X}_{eq}={X}_{d}+{X}_{t}+{X}_{SFCL}+{X}_{L}$ (16)

Comparing Equation (15) and Equation (16) shows that installation of ISFCL in the line feeder enhances transient stability better than ISFCL installed in generator-transformer feeder.

5. Results and Discussion

Figure 7 and Figure 8 shows the swing curves for all the ten generators in the Nigeria 330 kV transmission network when a three-phase fault occurs at Aiyede bus (Bus 16).

Figure 7. Rotor angle for a three-phase fault on bus 16, with line 16-2 removed (CCT = 840 ms).

Figure 8. Rotor angle for a three-phase fault on bus 16, with line 16-2 removed (CCT = 850 ms).

Figure 9. Swing curve of generator at Afam with line 16-2 removed, with ISFCL installed in line 11-29 (CCT = 850 ms).

It is observed from the swing curve of Figure 7 and Figure 8 that only the generator at Afam is the most severely disturbed, hence, the only generator considered for the investigation of the effect of ISFCL on the power system. It is

Figure 10. Swing curve of generator at Afam with line 16-2 removed, with ISFCL installed in line 11-29 (CCT = 1230 ms).

Figure 11. Swing curve of generator at Afam with Line 16-2 removed, with ISFCL installed in line 11-29 (CCT = 1380 ms).

clearly seen from Figure 8 that when a three-phase fault was created at bus 16 (Aiyede), the system becomes unstable for a fault clearing time of 850 ms. But with the installation of SFCL between line 11 - 29, as clearly seen from Figures 9-13, the fault clearing time was increased to 1390 ms after which synchronism was lost. The present of the FCL was able to damp low-frequency oscillation in the power network.

Figure 12. Swing curve of generator at Afam with line 16-2 removed, with ISFCL installed in line 11-29 (CCT = 1390 ms).

Figure 13. Swing curve of generator at Afam with line 16-2 removed, with ISFCL installed in line 11-29 (CCT = 1400 ms).

6. Conclusion

In this paper, an investigation of the effectiveness of superconductor fault current limiter in enhancing transient stability of the Nigeria 330 kV grid network is presented. The result reveals that when a three-phase fault is created at Aiyede bus, the generator at Afam generating station was found to loss synchronism at 850 ms, but with the installation of SFCL, the critical clearing time was improved to 1390 ms, which shows an improvement of 65.48%. Thus, there is considerable improvement in the generator rotor angle and rotor speed.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

*Journal of Power and Energy Engineering*,

**5**, 92-103. doi: 10.4236/jpee.2017.59008.

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