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Statistical analysis of a competitive day-ahead market coupled with correlated wind production and electric load

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  • Arjmand, Reza
  • Rahimiyan, Morteza

Abstract

An increasing concern on wind energy integration is the influence of associated uncertainty on the operation of electricity market. More specifically, correlated time-varying wind power production and electric load may change outcomes of the market operation. To this end, this paper develops a statistical simulation which allows to identify short-term impact of the correlation between the wind power production and the electric load on outcomes of the market operation. The correlation is captured from real-world data of the New England electricity market. A scenario generation technique is proposed to generate correlated scenarios of the wind power production and the electric load. The correlated scenarios are used as input data for simulating a fully competitive day-ahead market. Results show that we underestimate/overestimate the variability of daily operation cost by ignoring negative/positive correlation throughout day. Moreover, limited capacity of transmission lines can intensify underestimation and overestimation errors resulted from ignoring this correlation. These errors may mislead the policy makers about the market risks associated with operation and investment decisions of wind power, specially in the case with limited capacity of transmission lines.

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  • Arjmand, Reza & Rahimiyan, Morteza, 2016. "Statistical analysis of a competitive day-ahead market coupled with correlated wind production and electric load," Applied Energy, Elsevier, vol. 161(C), pages 153-167.
    • Handle: RePEc:eee:appene:v:161:y:2016:i:c:p:153-167
    DOI: 10.1016/j.apenergy.2015.09.086
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    References listed on IDEAS

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    1. Arjmand, Reza & Rahimiyan, Morteza, 2016. "Impact of spatio-temporal correlation of wind production on clearing outcomes of a competitive pool market," Renewable Energy, Elsevier, vol. 86(C), pages 216-227.
    2. de Jong, P. & Sánchez, A.S. & Esquerre, K. & Kalid, R.A. & Torres, E.A., 2013. "Solar and wind energy production in relation to the electricity load curve and hydroelectricity in the northeast region of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 526-535.
    3. Coughlin, Katie & Murthi, Aditya & Eto, Joseph, 2014. "Multi-scale analysis of wind power and load time series data," Renewable Energy, Elsevier, vol. 68(C), pages 494-504.
    4. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
    5. Rahimiyan, Morteza, 2014. "A statistical cognitive model to assess impact of spatially correlated wind production on market behaviors," Applied Energy, Elsevier, vol. 122(C), pages 62-72.
    6. Ederer, Nikolaus, 2015. "The market value and impact of offshore wind on the electricity spot market: Evidence from Germany," Applied Energy, Elsevier, vol. 154(C), pages 805-814.
    7. Elberg, Christina & Hagspiel, Simeon, 2015. "Spatial dependencies of wind power and interrelations with spot price dynamics," European Journal of Operational Research, Elsevier, vol. 241(1), pages 260-272.
    8. Qin, Zhilong & Li, Wenyuan & Xiong, Xiaofu, 2013. "Incorporating multiple correlations among wind speeds, photovoltaic powers and bus loads in composite system reliability evaluation," Applied Energy, Elsevier, vol. 110(C), pages 285-294.
    9. Matthias Nowak & Werner Römisch, 2000. "Stochastic Lagrangian Relaxation Applied to Power Scheduling in a Hydro-Thermal System under Uncertainty," Annals of Operations Research, Springer, vol. 100(1), pages 251-272, December.
    10. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    11. Abdullah, M.A. & Agalgaonkar, A.P. & Muttaqi, K.M., 2013. "Probabilistic load flow incorporating correlation between time-varying electricity demand and renewable power generation," Renewable Energy, Elsevier, vol. 55(C), pages 532-543.
    12. O'Neill, Richard P. & Sotkiewicz, Paul M. & Hobbs, Benjamin F. & Rothkopf, Michael H. & Stewart, William R., 2005. "Efficient market-clearing prices in markets with nonconvexities," European Journal of Operational Research, Elsevier, vol. 164(1), pages 269-285, July.
    13. Baringo, L. & Conejo, A.J., 2013. "Correlated wind-power production and electric load scenarios for investment decisions," Applied Energy, Elsevier, vol. 101(C), pages 475-482.
    14. Suomalainen, Kiti & Pritchard, Geoffrey & Sharp, Basil & Yuan, Ziqi & Zakeri, Golbon, 2015. "Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand," Applied Energy, Elsevier, vol. 137(C), pages 445-462.
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