ELCC 방법을 이용한 국내 풍력 발전의 용량 크레딧 산정
ELCC Approach for Calculating Capacity Credit of Wind Power in Korea
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초록
국내 재생에너지에서 풍력발전이 차지하는 비중은 국가 온실가스 감축과 신재생에너지의 확대 정책에 따라 크게 증가할 것으로 예상되고 있다. 본 연구에서는 국내 풍력의 실효 용량 산정에 가장 중요한 요소인 용량크레딧 (Capacity Credit)을 ELCC(Effective Load Carrying Capability) 방법론을 이용해 산정한다. ELCC 방법은 방대한 입력 자료가 요구되고 계산과정이 복잡하지만 여러 가지 용량크레딧 산정 방법 중에서 가장 정교한 이론적 근거를 가진 것 으로 알려져 있다. 본 연구에서는, 기준시스템, 전력수요 및 풍력의 이용률에 대한 2014년도 자료를 이용하였다. CC는 풍력의 보급률이 1% 미만인 경우 약 0.3091로 계산되었으며, 보급률 증가에 따라 CC는 지속적으로 감소하였다. 본 연구의 조사에 따르면, 국내 풍력발전에 대한 국가 수준 CC에 대한 기존 연구는 없는 것으로 파악되었다.
Abstract
The share of wind power generation in domestic renewable energy is expected to increase significantly due to nationwide effort to reduce greenhouse gas emission and to enlarge the portion of renewable energy in electricity generation mix. In this study, the capacity credit, which is the most important factor for evaluating the effective capacity of domestic wind power, is calculated by using the ELCC (Effective Load Carrying Capability) methodology. The ELCC method is known to have the most sophisticated rationale among the various capacity credit estimation methods. We used the single-year data (2014) for the reference system, power demand and wind utilization. CC has been calculated to be about 0.3091 when the wind power penetration rate is less than 1%, and CC has a tendency of decreasing steadily with increasing penetration rate. According to the survey, there is no previous research on national level CC for domestic wind power generation.
참고문헌 (17)
- Chida, T., "Probabilistic approach for evaluating the capacity value of intermittent generation", Electrical Engineering in Japan, 191(2), pp.16~23 (2015)
- Dent, C. J., "Simplified Methods for Renewal Generation Capacity Credit Calculation:A Critical Review", Proc. of IEEE Power and Energy Society General Meeting, pp.1~8 (2010), IEEE
- 에먼 번, "남한 전력시장에서 풍력발전점유의 전력가격수익 최적화", 한국태양에너지학회 논문집, 36(1), pp.63~73 (2016), 한국태양에너지학회
- "Electric Power Statistics Information System(EPSIS)" (2017)[URL]
- Ensslin, C., "Current Methods to Calculate Capacity Credit of Wind Power, IEA Collaboration", Proc. IEEE Power and Energy Society General Meeting, pp.1~3 (2008), IEEE
- Hasche, B., "Capacity value of wind power, calculation and data requirements : the irish power system case", IEEE PES Transaction on Power System, 26(1), pp.420~430 (2010)
- 김하빈, "해외사례 고찰을 통한 풍력 예측모형의 과거와 현재", 풍력에너지저널, 7(2), pp.35~44 (2016), 한국풍력에너지학회
- Korea Energy Agency, "New and Renewable Energy Statistics 2015, 337001", 21~41 (2016)
- Capacity Value of PV and Wind Generation in the NV Energy System, "Lu, S.", PNNL, 25~, pp.PNNL-22117 (2012)
- Madaeni, S. H., "Comparing capacity value estimation techniques for photovoltaic solar power", IEEE J. of Photovoltaics, 3(1), pp.407~415 (2013)
- Madaeni, S. H., "Estimating the Capacity Value of Concentrating Solar Power Plants: A Case Study of the Southwestern United States", IEEE Trans. On Power System, 27(2), pp.1116~1124 (2012)
- Milligan, M., "The capacity value of wind in the United States: methods and implementation", The Electricity J., 19(2), pp.91~99 (2006)
- Milligan, M.R., "Comparison and case study of capacity credit algorithm for wind power plants", Wind Engineering, 23, pp.159~166 (1999)
- Ministry of Tarde, Industry and Energy, "The 7th Basic Plan of Long-Term Electricity Supply and Demand", 77~ (2016)
- Nguyen, C., "Factor influencing of capacity value of wind power: a case study of the australian national electricity market (NEM)", Renewable Energy, 90, pp.319~328 (2016)
- Oh R., "Analysis of the Capacity Credit of Wind Farms", Proc. Of Autumn Conference, pp.16~18 (2008), KIEE
- Wang, X., "Modern Power System Planning", pp.480~ (1994), McGraw-Hill, International (UK) Ltd