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Identifying Energy Trends in Fiji Islands

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Smart Energy Grid Design for Island Countries

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

This chapter intends to simulate the current situation of Fiji Electricity Authority’s transmission network of Viti Levu by using the load flow method and investigate the situation of the overall system. The first part of the chapter focuses on finding out the problems faced by Fiji Electricity Authority with the reliability of the network. After inspecting regions vulnerable to faults, different scenarios have been tested in steady state with different loads in various parts of Viti Levu. Reaction of the network was observed to determine the highest load level that the network can support before collapsing. The second part of chapter proposes recommendations to improve the reliability of the network. These recommendations are tested using the ETAP software in the form of scenarios by incorporating different possible choices with the current network, and the results obtained from each scenario are analyzed. This chapter concludes with the listing of recommendations that can be made in order to do further analysis for future expansion of the network through renewable energy sources (RES).

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References

  1. Fiji Electricity Authority (2014) Fiji Electricity Authority Report 2014. Fiji Electricity Authority, Suva, Fiji Islands

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  2. Electrical Power System Analysis & Operation Software, Operation Technology, Inc. Available on: https://etap.com. Accessed 20 Oct 2016

  3. KEMA International B.V. (2012) Quantification of the power system energy losses in South Pacific utilities. KEMA International B.V., Netherlands

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  4. Islam FR, Mamun KA (2016) Reliability evaluation of power network: a case study of Fiji Islands. In: Australasian universities power engineering conference (AUPEC-2016), Brisbane, Australia, 25–28 Sept 2016

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  5. Islam FR, Mamun KA (2016) Opportunities and challenges of implementing renewable energy in Fiji Islands. In: Australasian universities power engineering conference (AUPEC-2016), Brisbane, Australia, 25–28 Sept 2016

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Correspondence to Maurizio Cirrincione .

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Appendix

Appendix

Tables 8, 9, 10, 11, 12, 13, 14, 15, 16 and 17.

Table 8 Summary of total generation, loading and demand for the current grid network (extracted from KEMA and FEA reports)
Table 9 Bus ratings after running load flow on the current network (extracted from ETAP report)
Table 10 Bus ratings after adding 10 MW load to the current grid network (extracted from ETAP report)
Table 11 Bus ratings after making the connection between Deuba and Korolevu without new load (extracted from ETAP report)
Table 12 Bus ratings after making the connection between Deuba and Korolevu with new load (extracted from ETAP report)
Table 13 Bus ratings after making the connection between Deuba, Korolevu, and Tavua to Nadarivatu without new load (extracted from ETAP report)
Table 14 Bus ratings after making the connection between Deuba, Korolevu, and Tavua to Nadarivatu with load (extracted from ETAP report)
Table 15 Summary of total generation, loading, and demand
Table 16 Summary of total generation, loading and demand
Table 17 Bus ratings after making the connection between Daube, Korolevu, and Tavua to Nadarivatu with 12 MW of renewable wind generation (extracted from ETAP report)

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Chand, S.S., Iqbal, A., Cirrincione, M., Islam, F.R., Mamun, K.A., Kumar, A. (2017). Identifying Energy Trends in Fiji Islands. In: Islam, F., Mamun, K., Amanullah, M. (eds) Smart Energy Grid Design for Island Countries. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-50197-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-50197-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50196-3

  • Online ISBN: 978-3-319-50197-0

  • eBook Packages: EnergyEnergy (R0)

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