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Allocation of Energy Storage Capacity for Large Wind Farms in Korea using Discrete Fourier Transform

  • Moon, Seung-pil (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Labios, Remund (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Chang, Byung-hoon (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Kim, Soo-yeol (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Yoon, Yong-beum (KEPCO Research Institute, Korea Electric Power Corporation)
  • Received : 2016.03.28
  • Accepted : 2016.08.18
  • Published : 2016.09.30

Abstract

In 2013, a total capacity of 591.3 MW of installed wind power generation was achieved in Korea, with a total of 1,139 MWh of wind energy generated that year. More wind power plants will be installed in the coming years, and it is important to develop methods to reduce the output variability of these resources so as to provide stable power to the power grid of Korea. In this regard, this paper proposes the use of energy storage system (ESS) as a means to stabilize the output variability of wind power plants. Presented in this paper is a method that uses Discrete Fourier Transform (DFT) to determine the ESS capacity needed to provide a stable power output for ancillary services such as frequency regulation, economic dispatch, and emergency reserves. In the first step of the proposed method, four regions (namely, Samdal, Yeongdeok, Yeongyang, and Gangwon) in Korea that had the most wind power generation capacity were selected for analysis. In the second step, the individual and aggregated wind power outputs of the selected regions in 2013 were obtained This information was then used in the third step, where DFT analysis of the power outputs was used to drive the magnitudes of the output variation. And finally, the ESS capacity requirements needed to provide different ancillary services were determined based on the magnitudes of the output variation.

Keywords

References

  1. Ministry of Trade, Industry, and Economy (formerly, Ministry of Knowledge Economy). (2013). The 6th Basic Plan for Long-term Electricity Supply and Demand (2013-2027). [Online]. Available: https://www.kpx.or.kr/english_new/down_data/market_report/The_6th.pdf.
  2. Korea Electric Power Corp. (2014). 2014 Annual Report. [Online]. Available:http://home.kepco.co.kr/kepco/cmmn/fms/FileDown.do?atchFileId=FILE_000000021050868&fileSn=0.
  3. J. G. Slootweg and W. L. Kling, "Modeling of Large Wind Farms In Power System Simulations," Power Engineering Society Summer Meeting, Chicago, IL, USA, 25 July 2002, pp. 503-508.
  4. M. G. Lobo and I. Sanchez, "Regional Wind Power Forecasting Based on Smoothing Techniques, with Application to the Spanish Peninsular System," IEEE Trans. on Power Systems, vol. 27, no. 4, pp. 1990-1997, May 2012. https://doi.org/10.1109/TPWRS.2012.2189418
  5. P. Denholm, et al., (2013, May). The Value of Energy Storage for Grid Applications. NREL, Golden, CO. [Online.] Available: http://www.nrel.gov/docs/fy13osti/58465.pdf.
  6. F. Diaz-Gonzalez, A. Sumper, O. Gomis-Bellmunt, and R. Villafafila-Robles, "A Review of Energy Storage Technologies for Wind Power Applications," Renewable and Sustainable Energy Reviews, vol. 6, no. 4, pp. 2154-2171, May 2012, pp. 105-112.
  7. M. Khalid and A. V. Savkin. "Minimization and Control of Battery Energy Storage for Wind Power Smoothing: Aggregated, Distributed and Semi-Distributed Storage," Renewable Energy, vol. 64, pp. 105-112.
  8. M. C. Such and C. Hill, "Battery Energy Storage and Wind Energy Integrated into the Smart Grid," Innovative Smart Grid Technologies, 2012 IEEE PES, Washington, DC, USA, 16-20 Jan. 2012, pp. 1-4.
  9. Y. V. Makarov, P. Du, M. C. W. Kintner-Meyer, C. Jin, and H. F. Illian, "Sizing Energy Storage to Accommodate High Penetration of Variable Energy Resources," IEEE Trans. On Sustainable Energy, vol. 3, no. 1, pp. 34-40, Jan. 2012. https://doi.org/10.1109/TSTE.2011.2164101
  10. Korea Wind Energy Industry Association. (2015). (Wind Power Statistics and Information). [Online]. Available: http://kweia.or.kr.
  11. Seungpil Moon, Byunghoon Chang, Sooyeol Kim, Sungmin Choi, Yongbeum Yoon," ESS Allocation for Large Scale Wind Farm Generation Fluctuation", KIEE Power Engineering Society Autumn Meeting, Nov. 2014.