The Intelligent Methods Used in Prediction the Wind Speed and Output Power of Wind Farm

被引:0
|
作者
Zhang, Xinyan [1 ]
Chen Chongchong [1 ]
Wang, Weiqing [1 ]
Dai, Yi [2 ]
机构
[1] Xinjiang Univ, Sch Elect Engn, Urumqi, Peoples R China
[2] Wind Power Co Xinjiang, China Energy Conservat Corp, Urumqi, Peoples R China
来源
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词
wind speed; wind power; prediction; neural network; supported vector machine;
D O I
暂无
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 wind speed and wind power of wind farm prediction become more and more important as the increasing installation of wind turbines and the establishment of the large scall wind farms. Because the stochastic and intermittent property of wind speed, the prediction problem is very difficalt to solve. The prediction method using BP neural network, wavelet BP neural network, and supported vector machine was studied in this paper. The simulation results shows that the method used in this paper can give a better prediction, but there is still more other algorithm need to be studied to enhance the prediction precision.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Deep generative model for probabilistic wind speed and wind power estimation at a wind farm
    Salazar, Andres A.
    Zheng, Jiafeng
    Che, Yuzhang
    Xiao, Feng
    ENERGY SCIENCE & ENGINEERING, 2022, 10 (06) : 1855 - 1873
  • [22] Wind speed prediction for wind farm applications by Extreme Value Theory and Copulas
    D'Amico, Guglielmo
    Petroni, Filippo
    Prattico, Flavio
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2015, 145 : 229 - 236
  • [23] Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction
    Kenmoe, Germaine Djuidje
    Fotso, Hervice Romeo Fogno
    Kaze, Claude Vidal Aloyem
    WIND ENGINEERING, 2022, 46 (03) : 780 - 795
  • [24] Stochastic wind speed modelling for estimation of expected wind power output
    Loukatou, Angeliki
    Howell, Sydney
    Johnson, Paul
    Duck, Peter
    APPLIED ENERGY, 2018, 228 : 1328 - 1340
  • [25] Analysis of Factors Affecting Wind Farm Output Power
    Wang Xiaoming
    Xie Yuguang
    Gao Bo
    Zheng Yuanjie
    Chen Fan
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [26] ARIMA Modeling of Wind Speed for Wind Farm Reliability Analysis
    Rajeevan, A. K.
    Shouri, P. V.
    Nair, Usha
    2014 ANNUAL INTERNATIONAL CONFERENCE ON EMERGING RESEARCH AREAS: MAGNETICS, MACHINES AND DRIVES (AICERA/ICMMD), 2014,
  • [27] Wind Speed Prediction and Determination of Wind Power Output with Multi-area Weather Data by Deterministic Chaos
    Hayashi, M.
    Nagasaka, Ken
    2014 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2014, : 192 - 197
  • [28] Spatial dispersion of wind speeds and its influence on the forecasting error of wind power in a wind farm
    Mu, Gang
    Yang, Mao
    Wang, Dong
    Yan, Gangui
    Qi, Yue
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2016, 4 (02) : 265 - 274
  • [29] Multisource Wind Speed Fusion Method for Short-Term Wind Power Prediction
    An, Jianqi
    Yin, Feng
    Wu, Min
    She, Jinhua
    Chen, Xin
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (09) : 5927 - 5937
  • [30] On the theoretical distribution of the wind farm power when there is a correlation between wind speed and wind turbine availability
    Kan, Cihangir
    Devrim, Yilser
    Eryilmaz, Serkan
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 203