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A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program

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  • Shayesteh, E.
  • Yousefi, A.
  • Parsa Moghaddam, M.

Abstract

Spinning Reserve is one of the ancillary services which is essential to satisfy system security constraints when the power system faces with a contingency. In this paper, Day Ahead Demand Response Program as one of the incentive-based Demand Response programs is implemented as a source of spinning reserve. In this regard, certain number of demands are selected according to a sensitivity analysis, and simulated as virtual generation units. The reserve market is cleared for Spinning Reserve allocation considering a probabilistic technique. A comparison is performed between the absence and existence of Day Ahead Demand Response Program from both economical and reliability viewpoints. Numerical studies based on IEEE 57 bus test system is conducted for evaluation of the proposed method.

Suggested Citation

  • Shayesteh, E. & Yousefi, A. & Parsa Moghaddam, M., 2010. "A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program," Energy, Elsevier, vol. 35(5), pages 1908-1915.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:5:p:1908-1915
    DOI: 10.1016/j.energy.2010.01.001
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    References listed on IDEAS

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    1. Amjady, N. & Aghaei, J. & Shayanfar, H.A., 2009. "Market clearing of joint energy and reserves auctions using augmented payment minimization," Energy, Elsevier, vol. 34(10), pages 1552-1559.
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    Cited by:

    1. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
    2. Hong, Ying-Yi & Apolinario, Gerard Francesco DG. & Chung, Chen-Nien & Lu, Tai-Ken & Chu, Chia-Chi, 2020. "Effect of Taiwan's energy policy on unit commitment in 2025," Applied Energy, Elsevier, vol. 277(C).
    3. Saez-Gallego, Javier & Morales, Juan M. & Madsen, Henrik & Jónsson, Tryggvi, 2014. "Determining reserve requirements in DK1 area of Nord Pool using a probabilistic approach," Energy, Elsevier, vol. 74(C), pages 682-693.
    4. Hong Zhang & Hao Sun & Qian Zhang & Guanxun Kong, 2018. "Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory," Energies, MDPI, vol. 11(9), pages 1-17, September.
    5. Najafi, M. & Ehsan, M. & Fotuhi-Firuzabad, M. & Akhavein, A. & Afshar, K., 2010. "Optimal reserve capacity allocation with consideration of customer reliability requirements," Energy, Elsevier, vol. 35(9), pages 3883-3890.
    6. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    7. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    8. Feuerriegel, Stefan & Neumann, Dirk, 2016. "Integration scenarios of Demand Response into electricity markets: Load shifting, financial savings and policy implications," Energy Policy, Elsevier, vol. 96(C), pages 231-240.
    9. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
    10. Behrangrad, Mahdi & Sugihara, Hideharu & Funaki, Tsuyoshi, 2012. "Integrating the cold load pickup effect of reserve supplying demand response resource in social cost minimization based system scheduling," Energy, Elsevier, vol. 45(1), pages 1034-1041.
    11. Hovgaard, Tobias Gybel & Larsen, Lars F.S. & Edlund, Kristian & Jørgensen, John Bagterp, 2012. "Model predictive control technologies for efficient and flexible power consumption in refrigeration systems," Energy, Elsevier, vol. 44(1), pages 105-116.
    12. Voumvoulakis, Emmanouil & Asimakopoulou, Georgia & Danchev, Svetoslav & Maniatis, George & Tsakanikas, Aggelos, 2012. "Large scale integration of intermittent renewable energy sources in the Greek power sector," Energy Policy, Elsevier, vol. 50(C), pages 161-173.

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