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Technical challenges of PV deployment into remote Australian electricity networks: A review

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  • Jamal, Taskin
  • Urmee, Tania
  • Calais, Martina
  • Shafiullah, GM
  • Carter, Craig

Abstract

Gradual technical advancement and rapidly decreasing costs have led to widespread deployment of solar photovoltaic (PV) systems. In Australia, distributed PV systems make up the vast majority of installed PV capacity. In remote communities, distributed PV systems offer a supplementary solution to existing diesel-based electricity generation. However, remote electricity networks, being different from urban networks primarily due to their limited generation capacity and spinning reserve are likely to be critically affected by the variability characteristics of PV generation. The integration of distributed PV systems into conventional remote electricity networks has noteworthy impacts on their technical and non-technical operations that pose new challenges for PV deployment. Significant technical issues are observed in these networks as PV penetration levels increase, such as reduced power quality, inadequate diesel generator dispatch for spinning reserve, increased complexities in network operation and management, unintended islanding and even system blackouts. Utility adopted operational and control strategies significantly influence PV penetration levels in different remote networks around the world, including Australia. This paper reviews the current electrification scenarios in remote Australian networks and focuses on the impacts and technical challenges of distributed PV deployment and the control strategies adopted by remote area power utilities. Some suggestions and recommendations, such as the development of robust control mechanisms incorporating PV forecasting technology, modern network equipment, real-time measurements and network ancillary services provided by inverter coupled generation systems to enhance networks' operational stability and reliability are also presented. This review is of benefit to scientific researchers, investors and different stakeholders, who wish to have a better understanding of distributed PV systems' deployment scenarios into remote electricity networks. As the inherent characteristics of Australian remote electricity networks are similar to those in African and Asian rural electricity networks; the findings, reviews and recommendations presented are also relevant to those networks.

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  • Jamal, Taskin & Urmee, Tania & Calais, Martina & Shafiullah, GM & Carter, Craig, 2017. "Technical challenges of PV deployment into remote Australian electricity networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1309-1325.
    • Handle: RePEc:eee:rensus:v:77:y:2017:i:c:p:1309-1325
    DOI: 10.1016/j.rser.2017.02.080
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    4. Rosa, Carmen Brum & Rigo, Paula Donaduzzi & Rediske, Graciele & Moccellin, Ana Paula & Mairesse Siluk, Julio Cezar & Michels, Leandro, 2021. "How to measure organizational performance of distributed generation in electric utilities? The Brazilian case," Renewable Energy, Elsevier, vol. 169(C), pages 191-203.
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    6. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    7. Năstase, Gabriel & Șerban, Alexandru & Dragomir, George & Brezeanu, Alin Ionuț & Bucur, Irina, 2018. "Photovoltaic development in Romania. Reviewing what has been done," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 523-535.
    8. Sharma, Vanika & Aziz, Syed Mahfuzul & Haque, Mohammed H. & Kauschke, Travis, 2020. "Effects of high solar photovoltaic penetration on distribution feeders and the economic impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    9. Jamal, Taskin & Carter, Craig & Schmidt, Thomas & Shafiullah, G.M. & Calais, Martina & Urmee, Tania, 2019. "An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system," Applied Energy, Elsevier, vol. 254(C).
    10. Samu, Remember & Calais, Martina & Shafiullah, G.M. & Moghbel, Moayed & Shoeb, Md Asaduzzaman & Nouri, Bijan & Blum, Niklas, 2021. "Applications for solar irradiance nowcasting in the control of microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    11. Lilies Setiartiti & Rahmat Adiprasetya Al-Hasibi, 2021. "Designing Institutional Models For Renewable Energy Project Sustainability," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 147-156.
    12. Shree Krishna Acharya & Young-Min Wi & Jaehee Lee, 2021. "Weather Data Mixing Models for Day-Ahead PV Forecasting in Small-Scale PV Plants," Energies, MDPI, vol. 14(11), pages 1-16, May.
    13. Lue Xiong & Mutasim Nour, 2019. "Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network," Energies, MDPI, vol. 12(16), pages 1-16, August.

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