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Impact of renewable energies on the indian power system: Energy meteorological influences and case study of eefects on existing power fleet for rajasthan state

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  • Horst, Daniel
  • Jentsch, Mareike
  • Pfennig, Maximilian
  • Mitra, Indradip
  • Bofinger, Stefan

Abstract

India is aiming at a large scale integration of renewable energy with an ambitious target of 100 GW solar and 60 GW wind, by 2022. For economical and optimal integration of such a high renewable energy (RE) capacity, detailed planning based on meteorological data is necessary. This study uses time series of wind and solar resource data in order to quantify the correlation, smoothing effect, simultaneity and seasonality at various spatial scales over the whole country. Additionally, a simplified power plant dispatch optimization for the state of Rajasthan has been done, for specific future scenarios. This attempt at assessing the grid impacts of variable Renewable Energy (vRE) for India could be a foundation block for vRE Integration efforts.

Suggested Citation

  • Horst, Daniel & Jentsch, Mareike & Pfennig, Maximilian & Mitra, Indradip & Bofinger, Stefan, 2018. "Impact of renewable energies on the indian power system: Energy meteorological influences and case study of eefects on existing power fleet for rajasthan state," Energy Policy, Elsevier, vol. 122(C), pages 486-498.
    • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:486-498
    DOI: 10.1016/j.enpol.2018.07.047
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    References listed on IDEAS

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    1. George, Mel & Banerjee, Rangan, 2009. "Analysis of impacts of wind integration in the Tamil Nadu grid," Energy Policy, Elsevier, vol. 37(9), pages 3693-3700, September.
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    Cited by:

    1. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach," Renewable Energy, Elsevier, vol. 171(C), pages 58-74.
    2. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
    3. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    4. Ekata Kaushik & Vivek Prakash & Raymond Ghandour & Zaher Al Barakeh & Ahmed Ali & Om Prakash Mahela & Roberto Marcelo Álvarez & Baseem Khan, 2023. "Hybrid Combination of Network Restructuring and Optimal Placement of Distributed Generators to Reduce Transmission Loss and Improve Flexibility," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

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