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Study of assessment on capability of wind power accommodation in regional power grids

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  • Ye, Lin
  • Zhang, Cihang
  • Xue, Hui
  • Li, Jiachen
  • Lu, Peng
  • Zhao, Yongning

Abstract

With the development of large-scale wind power integration, wind curtailment appears around the world, especially in China. It is essential to perform the assessment on capability of wind power accommodation (ACWPA) by calculating the maximum admissible wind power which plays an important role in system planning and operation. This paper proposes a long-term assessment on the maximum level of wind power installed capacity in future years based on peak power regulation, with consideration of potential wind curtailment. Meanwhile, a short-term assessment based on wind power forecasting is developed through day-ahead unit commitment to get admissible zone of wind power in grid operation. In particular, the extreme wind variation scenario (EWVS) calculated by quadratic programming (QP) is applied to optimize upper limit of admissible zone. Case studies are carried out to analyze wind power characteristics in a province in Southern China. Results show that the proposed approaches can effectively and accurately evaluate the capability of wind power accommodation in regional power grids.

Suggested Citation

  • Ye, Lin & Zhang, Cihang & Xue, Hui & Li, Jiachen & Lu, Peng & Zhao, Yongning, 2019. "Study of assessment on capability of wind power accommodation in regional power grids," Renewable Energy, Elsevier, vol. 133(C), pages 647-662.
  • Handle: RePEc:eee:renene:v:133:y:2019:i:c:p:647-662
    DOI: 10.1016/j.renene.2018.10.042
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    1. Feng, Yi & Lin, Heyun & Ho, S.L. & Yan, Jianhu & Dong, Jianning & Fang, Shuhua & Huang, Yunkai, 2015. "Overview of wind power generation in China: Status and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 847-858.
    2. Nahid-Al-Masood, & Yan, Ruifeng & Saha, Tapan Kumar, 2015. "A new tool to estimate maximum wind power penetration level: In perspective of frequency response adequacy," Applied Energy, Elsevier, vol. 154(C), pages 209-220.
    3. Staid, Andrea & Guikema, Seth D., 2013. "Statistical analysis of installed wind capacity in the United States," Energy Policy, Elsevier, vol. 60(C), pages 378-385.
    4. Jadidoleslam, Morteza & Ebrahimi, Akbar & Latify, Mohammad Amin, 2017. "Probabilistic transmission expansion planning to maximize the integration of wind power," Renewable Energy, Elsevier, vol. 114(PB), pages 866-878.
    5. Novacheck, Joshua & Johnson, Jeremiah X., 2017. "Diversifying wind power in real power systems," Renewable Energy, Elsevier, vol. 106(C), pages 177-185.
    6. Waite, Michael & Modi, Vijay, 2016. "Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand," Applied Energy, Elsevier, vol. 183(C), pages 299-317.
    7. Luo, Guo-liang & Li, Yan-ling & Tang, Wen-jun & Wei, Xiao, 2016. "Wind curtailment of China׳s wind power operation: Evolution, causes and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1190-1201.
    8. Kaldellis, J. K., 2002. "Optimum autonomous wind-power system sizing for remote consumers, using long-term wind speed data," Applied Energy, Elsevier, vol. 71(3), pages 215-233, March.
    9. Gouveia, João Pedro & Dias, Luís & Martins, Inês & Seixas, Júlia, 2014. "Effects of renewables penetration on the security of Portuguese electricity supply," Applied Energy, Elsevier, vol. 123(C), pages 438-447.
    10. Dowds, Jonathan & Hines, Paul & Ryan, Todd & Buchanan, William & Kirby, Elizabeth & Apt, Jay & Jaramillo, Paulina, 2015. "A review of large-scale wind integration studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 768-794.
    11. Shahriari, Mehdi & Blumsack, Seth, 2018. "The capacity value of optimal wind and solar portfolios," Energy, Elsevier, vol. 148(C), pages 992-1005.
    12. Kaldellis, J.K. & Kavadias, K.A. & Filios, A.E., 2009. "A new computational algorithm for the calculation of maximum wind energy penetration in autonomous electrical generation systems," Applied Energy, Elsevier, vol. 86(7-8), pages 1011-1023, July.
    13. Beccali, M. & Brunone, S. & Finocchiaro, P. & Galletto, J.M., 2013. "Method for size optimisation of large wind–hydrogen systems with high penetration on power grids," Applied Energy, Elsevier, vol. 102(C), pages 534-544.
    14. Mc Garrigle, E.V. & Deane, J.P. & Leahy, P.G., 2013. "How much wind energy will be curtailed on the 2020 Irish power system?," Renewable Energy, Elsevier, vol. 55(C), pages 544-553.
    15. Biresselioglu, Mehmet Efe & Kilinc, Dilara & Onater-Isberk, Esra & Yelkenci, Tezer, 2016. "Estimating the political, economic and environmental factors’ impact on the installed wind capacity development: A system GMM approach," Renewable Energy, Elsevier, vol. 96(PA), pages 636-644.
    16. Yáñez, Juan Pablo & Kunith, Alexander & Chávez-Arroyo, Roberto & Romo-Perea, Alejandro & Probst, Oliver, 2014. "Assessment of the capacity credit of wind power in Mexico," Renewable Energy, Elsevier, vol. 72(C), pages 62-78.
    17. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    18. Ye, Lin & Zhao, Yongning & Zeng, Cheng & Zhang, Cihang, 2017. "Short-term wind power prediction based on spatial model," Renewable Energy, Elsevier, vol. 101(C), pages 1067-1074.
    19. Aliari, Yashar & Haghani, Ali, 2016. "Planning for integration of wind power capacity in power generation using stochastic optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 907-919.
    20. Kaldellis, J.K., 2008. "The wind potential impact on the maximum wind energy penetration in autonomous electrical grids," Renewable Energy, Elsevier, vol. 33(7), pages 1665-1677.
    21. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
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