Reliability Assessment of Nigerian Power Systems Case Study of 330kv Transmission Lines in Benin Sub – Region

Okozi, None S. O

doi:10.17577/ijertv7is030181

Cited by 3 publications

(2 citation statements)

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“…The bus with the highest value of VSI is the most sensitive bus and the reactive power compensator is placed on that bus for voltage profile improvement. For a single line diagram of power system connecting buses i and j shown in Figure 5 with source and load at sending and receiving ends respectively, the Voltage Sensitivity Index (VSI) is defined as in Equation ( 8) [23,26,44]:…”

Section: B Voltage Sensitivity Indexmentioning

confidence: 99%

Analysis of Power Quality Problems on Nigerian 330 KV Power System Using Statcom with Voltage Sensitivity Index

Abass

2023

Theory and Applications of Engineering Research Vol. 1

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Transmission system is the transportation of electrical energy from generating stations to load centers. However, increase usage of non-linear loads from the consumers has led to electrical Power Quality (PQ) problems which have negative impacts on the operation of the power system especially Nigerian power system. This research analyzed the PQ problem on Nigerian 330 kV power system. Newton-Raphson (NR) iterative method was used to performed load flow analysis on Nigerian 28-bus transmission systems. Then power injection model of the Static Synchronous Compensator (STATCOM) was incorporated to modify the NR mathematical model. The suitable placement for the STATCOM in the system was determined using Voltage Sensitivity Index (VSI) and simulation was done in MATLAB/SIMULINK. The results showed that, the suitable placements of STATCOM controller in the power system were buses 5, 8, 12 and 16. The corresponding STATCOM reactive power, sag voltage and sag duration for buses 5, 8, 12 and 16 were 72.

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Section: B Voltage Sensitivity Indexmentioning

confidence: 99%

Analysis of Power Quality Problems on Nigerian 330 KV Power System Using Statcom with Voltage Sensitivity Index

Abass

2023

Theory and Applications of Engineering Research Vol. 1

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“…Reliability evaluation of a generating system is predicting if the system can meet its load demand without failure for the period of time required. Accurate estimates of generating unit reliability are needed for generating capacity planning and to aid improved criteria for future designs and operations [15]- [17]. Due to the fact that the Kanji hydropower plant is not operating at its maximum capacity, there is a need to model the probability output of the generators in order to know the state of the hydropower plant.…”

Section: Introductionmentioning

confidence: 99%

A Markov model of generator performance at the Kainji hydro-power station in Nigeria

Ale

Olufeagba

Oyeleye

2023

IJECE

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<p><span lang="EN-US">The Kainji hydropower station is a seven turbo-alternator station that for many years served as the base load supply for the Nigerian power grid. Over 200,000 pieces of data about the performance of the machines were used to estimate values of the failure and repair rates for each machine and a Markov steady-state model of the plant was constructed to determine the probability output of the turbines. This result showed that Kaplan turbine (KT) 12 is prone to failure compared to any other KT unit in the hydropower plant. Also, the clusters of probability that define the system state due to the different output capacities of the units show that the hydropower plant has not performed to its maximum capacity, further evaluation shows that 60% of the KT machine units are operating which is consistent with the observed robustness of the output. The model not only conforms to observations but reasonably provide a means of studying the effects of different actions that may be taken to improve the performance of hydropower plant.</span></p>

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Impact of a HVDC Link on the Reliability of the Bulk Nigerian Transmission Network

et al. 2022

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Regular and reliable access to energy is critical to the foundations of a stable and growing economy. The Nigerian transmission network generates more electricity than is consumed but, due to unpredicted outages, customers are often left without electrical power for several hours during the year. This paper aims to assess the present reliability indices of the Nigerian transmission network, and to determine the impact of HVDCs on system reliability. In the first part of this paper, the reliability of the Nigerian transmission system is quantified by building a model in DIgSILENT PowerFactory and carrying out a reliability study based on data provided by the Nigerian transmission-system operator. Both network indices and load-point indices are evaluated, and the weakest points in the network are identified. In the second part of the paper, an HVDC model is built and integrated into the existing network at the locations identified by the reliability study. A comparative study using two different HVDC connections is then carried out, to determine the critical impact of HVDC on system reliability. The reliability results indicate that the weakest points of the transmission system are the radial feeders, and the highest impact could be achieved by spanning an HVDC line between two busbars located at the two extremes of a radial feeder: Azura and Yola.

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Reliability Assessment of Nigerian Power Systems Case Study of 330kv Transmission Lines in Benin Sub – Region

Cited by 3 publications

References 0 publications

Analysis of Power Quality Problems on Nigerian 330 KV Power System Using Statcom with Voltage Sensitivity Index

Analysis of Power Quality Problems on Nigerian 330 KV Power System Using Statcom with Voltage Sensitivity Index

A Markov model of generator performance at the Kainji hydro-power station in Nigeria

Impact of a HVDC Link on the Reliability of the Bulk Nigerian Transmission Network

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