2022
DOI: 10.3390/en15249631
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Impact of a HVDC Link on the Reliability of the Bulk Nigerian Transmission Network

Abstract: 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 Niger… Show more

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Cited by 1 publication
(5 citation statements)
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“…More specifically, both PV and QV analysis indicate that Yola and Gombe are the critical buses, and these two bus bars are now considered for the HVDC connection. The power flow and reliability analysis of this network, presented in [7,22], identified these two buses as having the lowest voltage magnitude and the lowest reliability, respectively.…”
Section: Active and Reactive Power Resultsmentioning
confidence: 99%
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“…More specifically, both PV and QV analysis indicate that Yola and Gombe are the critical buses, and these two bus bars are now considered for the HVDC connection. The power flow and reliability analysis of this network, presented in [7,22], identified these two buses as having the lowest voltage magnitude and the lowest reliability, respectively.…”
Section: Active and Reactive Power Resultsmentioning
confidence: 99%
“…The network under study consists of 64 transmission lines, including 21 double circuit lines with a total length of 6575.30 km, 50 bus bars, 20 generators (two of which were out of service based on the data provided), and 22 loads. More details about the Nigerian transmission network can be found in [22], while the transmission network single-line diagram is given in Figure 2. The Nigeria Energy System Operator (NESO) supplied data for active power demand for each load and generator for both the summer and winter scenarios in 2019.…”
Section: Network Modelmentioning
confidence: 99%
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