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Articles

Scheduling method of wind power generation for electricity market using state-of-charge transition and forecast error

, ORCID Icon & ORCID Icon
Pages 123-132 | Received 29 Dec 2018, Accepted 06 Sep 2019, Published online: 10 Jan 2020

References

  • Ito Y. A brief history of measures to support renewable energy: implications for Japan’s FIT review obtained from domestic and foreign cases of support measures. IEEJ. 2015 Oct. https://eneken.ieej.or.jp/data/6330.pdf
  • Guerrero-Mestre V, de la Nieta AAS, Contreras J, et al. Optimal bidding of a group of wind farms in day-ahead markets through an external agent. IEEE Trans Power Syst. 2016 Jul;31(4):2688–2700.
  • Tang Y, Ling J, Ma T, et al. A game theoretical approach based bidding strategy optimization for power producers in power markets with renewable electricity. Energies. 2017 May;10(5):627.
  • Gomes ILR, Pousinho HMI, Melício R, et al. Optimal wind bidding strategies in day-ahead markets. Technol Innovation Cyber-Phys Syst. 2016;470:475–484.
  • Dicorato M, Forte G, Pisani M, et al. Planning and operating combined wind-storage system in electricity market. IEEE Trans Sustainable Energy. 2012 Apr;3(2):209–217.
  • Fabbri A, Román TGS, Abbad JR, et al. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market. IEEE Trans Power Syst. 2005 Aug;20(3):1440–1446.
  • Anupam AT, Viassolo DE, Xie L. Robust bidding strategy for wind power plants and energy storage in electricity markets. Proceedings of General Meeting of the IEEE-Power-and-Energy-Society; 2012 Jul; San Diego, CA.
  • Ding H, Hu Z, Song Y. Rolling optimization of wind farm and energy storage system in electricity markets. IEEE Trans Power Syst. 2015 Sep;30(5):2676–2684.
  • Cai Z, Bussar C, Stöcker P, et al. Optimal dispatch scheduling of a wind-battery-system in german power market. Energy Procedia. 2016;99:137–146.
  • Kikuchi A, Ito M, Hayashi Y. Comparative study on state of charge controls of an energy storage system for day-ahead wind-power generation planning. IEEJ Power and Energy Conference; 2017 Sep; Tokyo, Japan. (in Japanese)
  • Kikuchi A, Ito M, Hayashi Y. Scheduling methods of wind power generation considering state-of-charge transition for the intraday market. The 2018 Annual Meeting of the Institute of Electrical Engineers of Japan; 2018 Mar; Fukuoka, Japan. (in Japanese)
  • Takayama S, Ishigame A. Fluctuation suppression control of wind power generation utilizing deterministic optimization method. 2nd IEEE Annual Southern Power Electronics Conference (SPEC); 2016 Dec; Auckland, New Zealand.
  • Yoshida K, Negishi S, Takayama S, et al. A scheduling operation method of wind farm to deal with ramp events and evaluation of required battery capacity. IEEJ Trans Power Energy. 2017;137(10):687–696. (in Japanese).
  • Hamamoto A, Hara R, Kita H. Study on suppression of wind farms outputs fluctuation by a HP/BG heat supply system. IEEJ Trans Power Energy. 2017;137(6):446–452. (in Japanese).
  • Breiman L. Bagging predictors. Mach Learn. 1996;24:123–140.
  • Aoki I, Tanikawa R, Hayasaki N, et al. Development and operational status of wind power forecasting system. IEEJ Trans Power Energy. 2013;133(4):366–372. (in Japanese).