Investigating the steady state stability of the Nigerian 48- bus systems using facts devices

Nkan, I. E.; Okoro, Ogbonnaya I.; Awah, Chukwuemeka C.; Akuru, Udochukwu B.

doi:10.4314/njt.v38i3.27

Cited by 10 publications

(5 citation statements)

References 7 publications

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“…Following the perturbation of the system when a three-phase fault was applied to system, starting at 1.00s and cleared after 0.153s at bus 33(Geregu SS), the system was observed to be unstable as was seen in the characteristics responses of the various system parameters (Figs. [16][17][18][19][20]. TCSC was optimally placed in the system on line 21-28 very close to the weakest bus 21(Jos TS).…”

Section: E Power Flow Simulation With Tcscmentioning

confidence: 99%

Enhancement of Power Systems Transient Stability with TCSC: A Case study of The Nigerian 330 kV, 48-Bus Network

Nkan,

Okpo,

Inyang

2023

IJMRA

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A steady, safe, controllable, and high-quality power supply is necessary given the complexity of power systems, especially in the deregulated power sector seen in Nigeria. One of the main drawbacks of network expansion is the loss of the system's overall damping torque, which mitigates the system resulting to fluctuations and transient instability. Power system stability control difficulties have been addressed using flexible AC transmission systems (FACTS) controllers. This study examines the responses of the generator rotor angle, speed, Q-axis and D-axis voltage components behind transient reactance as well as the voltage magnitude profile under the influence of a three-phase fault for the purpose of enhancing transient stability. The Nigerian 48-bus power system network was modeled using commercial PSAT software in a MATLAB environment with a fault induced on Bus 33 (Geregu SubStation) and TCSC optimally positioned on line 21-28 using continuation power flow (CPF). According to simulation results with and without TCSC, a significant amount of oscillation in the power system was dampened, and the voltage profile was improved for power system transient stability.

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Section: E Power Flow Simulation With Tcscmentioning

confidence: 99%

Enhancement of Power Systems Transient Stability with TCSC: A Case study of The Nigerian 330 kV, 48-Bus Network

Nkan,

Okpo,

Inyang

2023

IJMRA

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“…1. The network diagram and the load flow data were adapted from [22]. However, the buses have been renumbered to have the generator buses appear first.…”

Section: The Nigerian 48-bus Power Systemmentioning

confidence: 99%

Fundamental study of oscillations in the Nigerian power system

Ugwuanyi¹,

Uma²,

Ekwue³

2022

Nig. J. Tech.

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The power systems in developing countries are usually stressed and operated near their stability limits. Consequently, accurate sources of oscillations and their controls can present a challenge. This paper reports a comprehensive study of the oscillations in the Nigerian 48-bus power system. The dominant modes, sensitive locations for faults, and the most responsible generators were identified by modal analysis. Uniquely, the potential for nonlinear modal interaction of these modes was carefully investigated. The low-frequency modes identified are 1 Hz, 1.14 Hz, and 1.37 Hz, and they are associated mainly with the generators at Kainji, Afam, and Delta power stations. The results indicate the existence of inter-area phenomena and nonlinear modal interactions among these modes. Also, the analysis revealed that the generator at the Kainji power station is most affected by the nonlinear interactions.

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“…Power system security in the real sense is the ability of the network to withstand disturbances without breaking down [1]. The key performance indices needed to assess the state of security of a power system is the transient stability [2] and it requires the ability of the power system to remain unaltered or in equilibrium and should return to an acceptable stability margin when there is a system surge or disturbance [3]. There are many methods of determining the transient instability in the power system which are numerical integration, direct method, a probabilistic method [4], and artificial intelligence methods such as artificial neural networks [5].…”

Section: Extent Of Past Workmentioning

confidence: 99%

Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller

Ngang¹,

Kazeem²

2021

EPES

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The frequency instability observed in the power transmission network was mainly as a result of the per unit volts not falling within 0.95 through 1.05 P.U, volts. This has caused constant power failure in our transmission net work. This sad situation of power failure noticed in the power transmission network is contained by introducing an improvement in frequency stability of the Nigerian 330kV transmission network using fuzzy controller. It was achieved by first characterizing the 330kv transmission network by running load flow on the network, designing conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network, designing a rule base that makes these faulty buses to attain stability, integrating the designed rule to the conventional SIMULINK model for improving frequency stability of the Nigerian 330kv transmission network. The results obtained are conventional bus 1 per unit volts at 4s through 10s is 0.94. On the other hand, when fuzzy controller is incorporated in the system it is 1.043P.U volts. This shows that there is frequency stability when fuzzy controller is incorporated in the system since the per unit volts fall within the range of 0.95 through 1.05 P.U. volt and conventional per unit volts is 0.944 which makes the frequency unstable since the volts does not attain stability. Meanwhile, when fuzzy controller is incorporated in the system the per unit volts is 1.047. With these results, it shows that there is frequency stability when fuzzy controller is imbibed in the system. Since the per unit volt fall within the stability range of 0.95 through 1.05P.U. Volts.

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Investigating the steady state stability of the Nigerian 48- bus systems using facts devices

Cited by 10 publications

References 7 publications

Enhancement of Power Systems Transient Stability with TCSC: A Case study of The Nigerian 330 kV, 48-Bus Network

Enhancement of Power Systems Transient Stability with TCSC: A Case study of The Nigerian 330 kV, 48-Bus Network

Fundamental study of oscillations in the Nigerian power system

Improving Frequency Stability of the Nigerian 330kv Transmission Network Using Fuzzy Controller

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