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Modelling renewable energy impact on the electricity market in India

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  • Chattopadhyay, Deb

Abstract

Renewable power generation development, most notably for wind and solar, has taken off at a rapid pace in India especially in the last 4 years. While these developments have many positive aspects, a rapid shift in balance of baseload and intermittent generation must be assessed carefully to ensure the share of renewable power generation increases without compromising system security and economics. Seasonal and spatial variability of wind, and to a lesser extent that of solar, can render these resources to have low availability for a significant part of the year leading to an increase in unserved energy, i.e., deteriorate system reliability. The intermittency of generation also impacts on inter-state power flows and lead to higher congestion in the grid. Climate model results provide a rich set of information on the nature of solar/wind variability that can be embedded in an electricity market simulation tool to assess these impacts on prices, generation dispatch and power flows. We have developed a modelling analysis for the Indian national electricity market informed by CSIRO climate model results. We have assessed the added costs arising from intermittency to put in perspective the true costs and benefits of renewable power. We have focused on the near-term developments in 2017 to show how some of the high renewable growth scenarios included in the Indian National Electricity Plan may imply significant pressure on inter-state/region transfer capability, and lead to a significant worsening of system reliability. The outcome of our modelling analysis suggests that a more orderly and balanced development of renewable and conventional power generation capacity is needed with a stronger focus on system economics and security.

Suggested Citation

  • Chattopadhyay, Deb, 2014. "Modelling renewable energy impact on the electricity market in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 9-22.
  • Handle: RePEc:eee:rensus:v:31:y:2014:i:c:p:9-22
    DOI: 10.1016/j.rser.2013.11.035
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    2. Lynch & John Curtis, 2016. "The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 133-151, January.
    3. Kaneko, Nanae & Fujimoto, Yu & Hayashi, Yasuhiro, 2022. "Sensitivity analysis of factors relevant to extreme imbalance between procurement plans and actual demand: Case study of the Japanese electricity market," Applied Energy, Elsevier, vol. 313(C).
    4. Heard, B.P. & Brook, B.W. & Wigley, T.M.L. & Bradshaw, C.J.A., 2017. "Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1122-1133.
    5. Hairat, Manish Kumar & Ghosh, Sajal, 2017. "100GW solar power in India by 2022 – A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1041-1050.
    6. Pensini, Alessandro & Rasmussen, Claus N. & Kempton, Willett, 2014. "Economic analysis of using excess renewable electricity to displace heating fuels," Applied Energy, Elsevier, vol. 131(C), pages 530-543.
    7. Nibedita, Barsha & Irfan, Mohd, 2022. "Analyzing the asymmetric impacts of renewables on wholesale electricity price: Empirical evidence from the Indian electricity market," Renewable Energy, Elsevier, vol. 194(C), pages 538-551.
    8. Sahoo, Sarat Kumar, 2016. "Renewable and sustainable energy reviews solar photovoltaic energy progress in India: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 927-939.
    9. Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.
    10. Barsha Nibedita & Mohd Irfan, 2022. "Non-linear cointegration between wholesale electricity prices and electricity generation: an analysis of asymmetric effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 285-303, February.
    11. Mohanty, Sthitapragyan & Patra, Prashanta K. & Sahoo, Sudhansu S. & Mohanty, Asit, 2017. "Forecasting of solar energy with application for a growing economy like India: Survey and implication," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 539-553.
    12. Thakur, Jagruti & Rauner, Sebastian & Darghouth, Naïm R. & Chakraborty, Basab, 2018. "Exploring the impact of increased solar deployment levels on residential electricity bills in India," Renewable Energy, Elsevier, vol. 120(C), pages 512-523.
    13. Nikolakakis, Thomas & Chattopadhyay, Deb & Bazilian, Morgan, 2017. "A review of renewable investment and power system operational issues in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 650-658.
    14. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    15. Banshwar, Anuj & Sharma, Naveen Kumar & Sood, Yog Raj & Shrivastava, Rajnish, 2017. "Market based procurement of energy and ancillary services from Renewable Energy Sources in deregulated environment," Renewable Energy, Elsevier, vol. 101(C), pages 1390-1400.

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