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Proportion assessment of combined PV-wind generating systems

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  • Al-Ashwal, A.M.
  • Moghram, I.S.

Abstract

The availability of sun and wind is often in contrast. This fact has led to the proposal of a combined generating system consisting of PV and Wind Generator. This paper introduces a method enabling the assessment of the optimal proportion of PV to wind generator capacities. The method is based on evaluation of costs and loss of load risk (LOLR). According to the Daily Electrical Energy Demand, the required generating system is designed with different alternatives: only PV, only wind generator and a combined PV and wind generator in various proportions. For each alternative, the costs and LOLR are evaluated. LOLR evaluation is performed using a probabilistic model introduced here. The alternatives are compared with each other and the optimal one is determined.

Suggested Citation

  • Al-Ashwal, A.M. & Moghram, I.S., 1997. "Proportion assessment of combined PV-wind generating systems," Renewable Energy, Elsevier, vol. 10(1), pages 43-51.
  • Handle: RePEc:eee:renene:v:10:y:1997:i:1:p:43-51
    DOI: 10.1016/0960-1481(96)00011-0
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    Cited by:

    1. Rajanna, S. & Saini, R.P., 2016. "Modeling of integrated renewable energy system for electrification of a remote area in India," Renewable Energy, Elsevier, vol. 90(C), pages 175-187.
    2. Mohammadali Kiehbadroudinezhad & Adel Merabet & Ahmed G. Abo-Khalil & Tareq Salameh & Chaouki Ghenai, 2022. "Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review," Energies, MDPI, vol. 15(9), pages 1-21, May.
    3. Al-Ashwal, Am, 1998. "Photovoltaic system for transmission substation application," Renewable Energy, Elsevier, vol. 14(1), pages 157-163.
    4. Kosmas A. Kavadias & Panagiotis Triantafyllou, 2021. "Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools," Energies, MDPI, vol. 14(24), pages 1-28, December.
    5. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    6. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2010. "Steady-state modelling of hybrid energy system for off grid electrification of cluster of villages," Renewable Energy, Elsevier, vol. 35(2), pages 520-535.
    7. Khan, Mohammad Junaid & Yadav, Amit Kumar & Mathew, Lini, 2017. "Techno economic feasibility analysis of different combinations of PV-Wind-Diesel-Battery hybrid system for telecommunication applications in different cities of Punjab, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 577-607.
    8. Mahesh, Aeidapu & Sandhu, Kanwarjit Singh, 2015. "Hybrid wind/photovoltaic energy system developments: Critical review and findings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1135-1147.
    9. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    10. Deshmukh, M.K. & Deshmukh, S.S., 2008. "Modeling of hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 235-249, January.
    11. Eriksson, E.L.V. & Gray, E.MacA., 2017. "Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – A critical review," Applied Energy, Elsevier, vol. 202(C), pages 348-364.
    12. Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Review of hybrid renewable energy systems with comparative analysis of off-grid hybrid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2217-2235.
    13. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.

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