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Effect of different load profiles on the loss-of-load probability of stand-alone photovoltaic systems

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  • Celik, A.N.

Abstract

As well as the technical design criteria, the performance of a stand-alone photovoltaic (PV) system depends on other variables, such as the solar radiation distribution and load profile. Different load profiles are encountered in stand-alone PV applications. Load profiles may vary from 24-h constant to only nighttime or oppositely only daytime load profiles. This article presents results of system performance simulations for analysing the effect of different load profiles on the system performance. The load demand used in this article is appropriate for an average residential application with an average 9.4kWh of daily energy demand. The loss-of-load probability (LLP) of the PV system is simulated for five different weekly load profiles and the results are examined based on techno-economic parameters, including the total system cost or alternatively the cost of electricity per kWh for a 20-year system lifetime. The results are drawn based on 1-year long hourly time-series solar radiation and ambient temperature data.

Suggested Citation

  • Celik, A.N., 2007. "Effect of different load profiles on the loss-of-load probability of stand-alone photovoltaic systems," Renewable Energy, Elsevier, vol. 32(12), pages 2096-2115.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:12:p:2096-2115
    DOI: 10.1016/j.renene.2006.11.002
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    3. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2011. "Sizing of integrated renewable energy system based on load profiles and reliability index for the state of Uttarakhand in India," Renewable Energy, Elsevier, vol. 36(11), pages 2809-2821.
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    14. Thiaux, Y. & Seigneurbieux, J. & Multon, B. & Ben Ahmed, H., 2010. "Load profile impact on the gross energy requirement of stand-alone photovoltaic systems," Renewable Energy, Elsevier, vol. 35(3), pages 602-613.
    15. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
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    17. Nasiri, Reza & Radan, Ahmad, 2011. "Adaptive decoupled control of 4-leg voltage-source inverters for standalone photovoltaic systems: Adjusting transient state response," Renewable Energy, Elsevier, vol. 36(10), pages 2733-2741.
    18. Chicco, Gianfranco, 2012. "Overview and performance assessment of the clustering methods for electrical load pattern grouping," Energy, Elsevier, vol. 42(1), pages 68-80.
    19. Perera, A.T.D. & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate resilient interconnected infrastructure: Co-optimization of energy systems and urban morphology," Applied Energy, Elsevier, vol. 285(C).
    20. Haytham El-houari & Amine Allouhi & Shafiqur Rehman & Mahmut Sami Buker & Tarik Kousksou & Abdelmajid Jamil & Bouchta El Amrani, 2019. "Design, Simulation, and Economic Optimization of an Off-Grid Photovoltaic System for Rural Electrification," Energies, MDPI, vol. 12(24), pages 1-16, December.
    21. Jane Namaganda-Kiyimba & Joseph Mutale & Brian Azzopardi, 2021. "Improving the Load Estimation Process in the Design of Rural Electrification Systems," Energies, MDPI, vol. 14(17), pages 1-23, September.
    22. Shoki Kosai & Chia Kwang Tan & Eiji Yamasue, 2018. "Evaluating Power Reliability Dedicated for Sudden Disruptions: Its Application to Determine Capacity on the Basis of Energy Security," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
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