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Analysis of impacts of wind integration in the Tamil Nadu grid

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  • George, Mel
  • Banerjee, Rangan

Abstract

As the share of wind in power systems increases, it is important to assess the impact on the grid. This paper combines analysis of load and generation characteristics, generation adequacy and base and peak load variations to assess the future role of wind generation. A simulation of Tamil Nadu in India, with a high penetration of wind power (27% by installed capacity), shows a capacity credit of 22% of the installed wind capacity. For seasonal wind regimes like India, neither the capacity factor, nor the capacity credit reflects the monthly variation in the wind generation. A new approach based on the annual load duration curve has been proposed for generation expansion planning with higher penetration of wind. The potential savings in base and peak capacity required with increasing wind power have been quantified. A future scenario for Tamil Nadu for 2021 has been illustrated. It was found that 5500Â MW of wind power can save 3200Â MU of peak energy required or an average peak capacity of 2400 and 1100Â MW of base capacity. This analysis would be useful to assess the future impacts of increasing wind capacity in grids.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:9:p:3693-3700
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    References listed on IDEAS

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    1. Voorspools, Kris R. & D'haeseleer, William D., 2006. "An analytical formula for the capacity credit of wind power," Renewable Energy, Elsevier, vol. 31(1), pages 45-54.
    2. Usha Rao, K. & Kishore, V.V.N., 2009. "Wind power technology diffusion analysis in selected states of India," Renewable Energy, Elsevier, vol. 34(4), pages 983-988.
    3. Weigt, Hannes, 2009. "Germany's wind energy: The potential for fossil capacity replacement and cost saving," Applied Energy, Elsevier, vol. 86(10), pages 1857-1863, October.
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    Cited by:

    1. Chaiamarit, Kunjana & Nuchprayoon, Somboon, 2014. "Impact assessment of renewable generation on electricity demand characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 995-1004.
    2. 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.
    3. Rai, Alan & Nunn, Oliver, 2020. "On the impact of increasing penetration of variable renewables on electricity spot price extremes in Australia," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 67-86.
    4. George, Mel & Banerjee, Rangan, 2011. "A methodology for analysis of impacts of grid integration of renewable energy," Energy Policy, Elsevier, vol. 39(3), pages 1265-1276, March.
    5. Neeraj Sharma & Rajat Agrawal, 2017. "Locating a Wind Energy Project: A Case of a Leading Oil and Gas Producer in India," Vision, , vol. 21(2), pages 172-194, June.
    6. Alishahi, Ehsan & Moghaddam, Mohsen P. & Sheikh-El-Eslami, Mohammad K., 2011. "An investigation on the impacts of regulatory interventions on wind power expansion in generation planning," Energy Policy, Elsevier, vol. 39(8), pages 4614-4623, August.

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