A systematic evaluation of wind's capacity credit in the Western United States

被引:8
|
作者
Jorgenson, Jennie [1 ]
Awara, Sarah [1 ]
Stephen, Gord [1 ]
Mai, Trieu [1 ]
机构
[1] Natl Renewable Energy Lab, Denver, CO USA
关键词
capacity credit; offshore wind; probabilistic analysis; resource adequacy; wind energy;
D O I
10.1002/we.2620
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The degree to which wind energy can contribute to the capacity needed to meet resource adequacy requirements, also known as capacity credit (CC), can be impacted by many factors. The CC varies regionally with wind resource and correlation to net load and may also vary with wind technology (land-based versus offshore) and turbine specifications. We use a probabilistic resource adequacy tool to systematically assess the CC of multiple technologies for near-term wind deployment across the Western US power system to help inform planning decisions. We find that wind CC varies by weather year and location but averages 16% for land-based turbines and 41% for offshore turbines, with large regional variations. The average wind CC increases to 20% for land-based and 53% for offshore when considering only the sites in the top 25th percentile of capacity factor. The CC of land-based wind is generally lower than its capacity factor, which indicates a low correlation of generation to system needs. However, offshore wind shows a substantially higher CC, which is driven by not only a higher capacity factor but also a greater correlation with system needs.
引用
收藏
页码:1107 / 1121
页数:15
相关论文
共 50 条
  • [21] A Fast Algorithm of Capacity Credit for Measuring Capacity of Wind Turbines
    Liu J.
    Bai J.
    Zhai Q.
    Zhai, Qiaozhu, 2017, Xi'an Jiaotong University (51): : 41 - 46and53
  • [22] Locational Capacity Credit Evaluation
    Pudaruth, Girish Rai
    Li, Furong
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (02) : 1072 - 1079
  • [23] The Western United States
    不详
    EDUCATION, 1904, 25 (03): : 189 - 190
  • [24] Capacity credit of Philippine wind farms in Luzon
    de Guzman, Arjan Jake R.
    Tio, Adonis Emmanuel D. C.
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [25] ASSESSMENT INDEX OF WIND POWER CAPACITY CREDIT
    Cui, Yang
    Liu, Yutian
    2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [26] The Western United States
    不详
    ELEMENTARY SCHOOL TEACHER, 1905, 5 (06): : 383 - 383
  • [27] Evaluating the Capacity Credit of Wind Generation in Quebec
    Bernier, L.
    Sennoun, A.
    9TH INTERNATIONAL WORKSHOP ON LARGE-SCALE INTEGRATION OF WIND POWER INTO POWER SYSTEMS AS WELL AS ON TRANSMISSION NETWORKS FOR OFFSHORE WIND POWER PLANTS, 2010, : 198 - 205
  • [28] Impact of wind power growth on capacity credit
    Karki, Rajesh
    Hu, Po
    2007 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, 2007, : 1586 - 1589
  • [29] Assessment of the capacity credit of wind power in Mexico
    Pablo Yanez, Juan
    Kunith, Alexander
    Chavez-Arroyo, Roberto
    Romo-Perea, Alejandro
    Probst, Oliver
    RENEWABLE ENERGY, 2014, 72 : 62 - 78
  • [30] An analytical formula for the capacity credit of wind power
    Voorspools, KR
    D'haeseleer, WD
    RENEWABLE ENERGY, 2006, 31 (01) : 45 - 54