Open Access
Issue
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
Article Number 02002
Number of page(s) 5
Section Green Chemical Technology and Energy Saving and Emission Reduction
DOI https://doi.org/10.1051/e3sconf/202338502002
Published online 04 May 2023
  1. G. Artac, D. Flynn, B. Kladnik, M. Hajdinjak and A.F. Gubina, "The flexible demand influence on the joint energy and reserve markets," 2012 IEEE Power and Energy Society General Meeting, 2012, pp. 1–8. [Google Scholar]
  2. E.L. Arnoff and J.C. Chambers, "Operations Research Determination of Generation Reserves," in Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, vol. 76, no. 3, pp. 316–325, April 1957. [CrossRef] [Google Scholar]
  3. H. Huang, M. Zhou and G. Li, "An Endogenous Approach to Quantifying the Wind Power Reserve," in IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 2431–2442, May 2020. [CrossRef] [Google Scholar]
  4. T. Ding, Z. Wu, J. Lv, Z. Bie, and X. Zhang, “Robust co-optimization to energy and ancillary service joint dispatch considering wind power uncertainties in real-time electricity markets,” IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1547–1557, Oct. 2016. [CrossRef] [Google Scholar]
  5. R. Doherty and M. O’Malley, “A new approach to quantify reserve demand in systems with significant installed wind capacity,” IEEE Trans. Power Syst., vol. 20, no. 2, pp. 587–595, May 2005. [CrossRef] [Google Scholar]
  6. F. Bouffard and F.D. Galiana, “An electricity market with a probabilistic spinning reserve criterion,” IEEE Trans. Power Syst., vol. 19, no. 1, pp. 300–307, Feb. 2004. [CrossRef] [Google Scholar]
  7. K. Bruninx and E. Delarue, “Endogenous probabilistic reserve sizing and allocation in unit commitment models: Cost-effective, reliable, and fast,” IEEE Trans. Power Syst., vol. 32, no. 4, pp. 2593–2603, Jul. 2017. [CrossRef] [Google Scholar]
  8. K. Bruninx, K. Van den Bergh, E. Delarue, and W. D’Haeseleer, “Optimization and allocation of spinning reserves in a low-carbon framework,” IEEE Trans. Power Syst., vol. 31, no. 2, pp. 872–882, Mar. 2016. [CrossRef] [Google Scholar]
  9. IRENA, “RENEWABLE CAPACITY STATISTICS 2022”, Apr, 2022. [Google Scholar]
  10. National, Development and Reform Commission, "14th Five-Year Plan for Renewable Energy Development", Jun, 2022. [Google Scholar]

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