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나셀풍속을 이용한 풍력터빈의 성능저하 분석

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Abstract
The investigation on how to identify wind turbine degradation in a wind farm
was carried out in Jeju Island. The previous studies from Canada, the UK and
Denmark pointed out that the power performance of wind turbines decreased
with years. However the degradation checking methods are considered to be
complicated and unclear. In this thesis, a new method for identifying wind
turbine degradation was proposed, which is based on IEC standards.
According to the procedure of IEC 61400-12-2, the Nacelle Transfer Function
(NTF) was derived from the relationship between nacelle wind speed of a wind
turbine under test and met mast wind speed in Hankyeong wind farm, and
applied to nacelle wind speed of five wind turbines in the wind farm to obtain
corresponding free wind speed. Then, Nacelle Power Curve(NPC) was drawn on
the basis of electric power of SCADA system and the corresponding free wind
speed. The wind speed distribution in the wind farm is assumed to be Rayleigh
distribution with annual average wind speed at the wind farm, which was applied
to the NPC to obtain Annual Energy Production(AEP). Finally each Capacity
Factor(CF) was calculated using the AEP for six years. The five wind turbines
had CF degradation rate of 0.31 percent per year on average.
Next, since the difference between nacelle wind speed and met mast wind
speed during the concurrent period is nearly zero, nacelle wind speed was
directly used with electric power of SCADA system to obtain NPC. Then, in the
same way, annual CFs of the five wind turbines were calculated, whose annual
decreasing rate was 0.32 percent on average. The relative errors between the
two methods for checking wind turbine degradation were within ten percent with
5.5 percent on average. Therefore, the new method using nacelle wind speed only
could help wind farm owners and operators find out how much power performance of their wind turbines decreases with year. The advantage of the
new method is that the met mast installation and NTF calculation are not
necessary to identify wind turbine degradation.
In addition, the six-year SCADA data from the six Vestas V80-2MW wind
turbines in Seongsan wind farm were analyzed to check the CF degradation
using the new method. As a result, power output of the wind turbines of
Seongsan wind farm decreased to 0.12 percent per year on average.
Author(s)
신동헌
Issued Date
2014
Awarded Date
2015. 2
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000007068
Department
대학원 풍력특성화협동과정
Table Of Contents
I. 서 론 1
1. 연구배경 1
2. 연구동향 3
1) 해외의 풍력터빈 성능저하 분석 연구 3
2) 국내의 풍력터빈 성능저하 분석 연구 5
3. 연구목적 7
II. 나셀 변환함수를 이용한 성능저하 분석 9
1. 테스트 사이트 I (한경 풍력발전단지) 9
2. 테스트 풍력터빈 사양 11
3. 측정 데이터 12
1) 측정 데이터 요소와 측정 장비 12
2) 측정 기준과 데이터 처리 13
4. 나셀 변환함수 17
1) 나셀 변환함수를 위한 측정방위 구간 17
2) 지형에 따른 결과값 보정 18
3) 기상탑 풍속과 나셀풍속의 상관관계 20
5. 나셀 출력곡선 22
1) 지형 등급 22
2) 나셀 출력곡선 측정방위 구간 24
3) 공기밀도 표준화 26
4) 나셀 출력곡선 26
5) 나셀 출력곡선 불확도 31
6. 나셀 변환함수를 이용한 성능저하 분석 34
1) 레일리 분포 34
2) 연간에너지생산량 불확도 35
3) 나셀 변환함수를 이용한 성능저하 분석 37
III. 나셀풍속을 이용한 성능저하 분석 39
1. 나셀풍속과 기상탑 풍속의 상관관계 40
2. 나셀풍속을 이용한 출력곡선 40
1) 공기밀도 표준화 40
2) 나셀풍속 출력곡선 41
3. 나셀풍속을 이용한 성능저하 분석방법 검증 45
4. 나셀풍속을 이용한 성능저하 분석 절차 46
IV. 나셀풍속을 이용한 성능저하 분석방법 적용 47
1. 테스트 사이트 II (성산 풍력발전단지) 47
2. 테스트 풍력터빈 사양 51
3. 측정 데이터 52
1) 측정 데이터 요소와 측정 장비 52
2) 측정 기준과 데이터 처리 52
4. 나셀풍속을 이용한 출력곡선 53
1) 측정방위 구간 설정 53
2) 공기밀도 표준화 55
3) 나셀풍속을 이용한 출력곡선 55
5. 나셀풍속을 이용한 성능저하 분석 59
6. 사이트별 성능저하 분석결과 비교 60
V. 결 론 62
참고문헌 63
Degree
Master
Publisher
제주대학교 대학원
Citation
신동헌. (2014). 나셀풍속을 이용한 풍력터빈의 성능저하 분석
Appears in Collections:
Interdisciplinary Programs > Multidisciplinary Graduate School Program for Wind Energy
공개 및 라이선스
  • 공개 구분공개
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