초록

A statistical analysis of the power generation records of the Sinan Wind Power Plant located on the coast of Korea on the South Sea was carried out for an overview of ramp characteristics. It was found that up-ramp and down-ramp showed similar patterns such as the same probability of occurrence and ramp rate distribution. The probability of a significant ramp event exceeding 30 % of the nameplate capacity of the wind power plant was 0.6 %, 1.5 %, and 3.3 % for intervals of 1 min, 10 min, and 1 hour, respectively. In a comparative analysis to confirm whether numerical weather prediction can be used for a ramp diagnosis or forecasting, the reliability of the prediction was poor, although the prediction accuracy of wind speed was high at R2=0.72. Therefore, it was confirmed that the accuracy improvement of short-term prediction is an important issue for ramp forecasting using a numerical weather prediction model.

키워드

증감발, 증감발률, 신안풍력발전소

참고문헌(15)open

  1. [보고서] Wan, Y.-H. / 2011 / Analaysis of Wind Power Ramping Behavior in ERCOT, NREL/TP-5500-49218 : 19

  2. [학술대회] Sevlian, R. / 2012 / Wind Power Ramps: Detection and Statistics / IEEE Power and Energy Society General Meeting

  3. [보고서] Zhnag, J. / 2014 / Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting, NREL/CP-5D00-61730 : 12

  4. [학술지] Cui, T. / 2017 / Characterizing and Analyzing Ramping Events in Wind Power, Solar Power, Load, and Netload / Renewable Energy 111 : 227 ~ 244

  5. [학술지] 류재근 / 2013 / 풍력발전의 변동성을 고려한 기동정지계획에서의 적정 Ramping 용량 산정 / 전기학회논문지 62 (4) : 457 ~ 466

  6. [학위논문] Kwon, H.-G. / 2017 / Enhanced Ramping Capacity Model Considering Flexibility and its Application to Short-term Generation Scheduling

  7. [학술지] 김현구 / 2013 / 풍력단지 운영자료와 재해석자료를 이용한 신안군 비금도 장기간 풍력자원평가 / 한국풍공학회지 17 (4) : 127 ~ 132

  8. [학술지] 김현구 / 2013 / 신안풍력발전소 풍력터빈의 성능저하 분석 / 한국태양에너지학회 논문집 33 (4) : 46 ~ 50

  9. [학술지] 김현구 / 2015 / 라이다(LiDAR) 측정을 이용한 나셀전달함수의 유도 / 대한기계학회논문집 A 39 (9) : 929 ~ 936

  10. [학술지] Kim, H.-G. / 2011 / Development of the Korea Wind Resource Map and Suitability Assessment System for Offshore Wind Farm / Journal of Wind Energy 2 (2) : 17 ~ 23

  11. [학술지] 김현구 / 2017 / 전력통계정보시스템(EPSIS) 풍력발전자료에 의한 국내 풍력발전 현황 및 이용률 분석 / 풍력에너지저널 8 (2) : 24 ~ 30

  12. [학술대회] Kamath, C. / 2010 / Understanding Wind Ramp Events Through Analysis of Historical Data / IEEE PES Transmission and Distribution Conference and Expo

  13. [보고서] Wan, Y.-H. / 2011 / Analysis of Wind Power Ramping Behavior in ERCOT, NREL/TP-5500-49218 : 20

  14. [학술지] Wang, H.-Z. / 2017 / Deep Learning Based Ensemble Approach for Probabilistic Wind Power Forecasting / Applied Energy 188 : 56 ~ 70

  15. [학술지] Ren, Y. / 2015 / Ensemble Methods for Wind and Solar Power Forecasting - A State-of-the-Art Review / Renewable and Sustainable Energy Reviews 50 : 82 ~ 91