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风力发电系统发电容量时间序列的混沌属性分析 被引量:15

CHAOS CHARACTERISTIC ANALYSIS ON THE TIME SERIES OF WIND POWER GENERATION CAPACITY
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摘要 利用非线性动力学的分析方法对并网型风电机组的发电容量时间序列进行分析,以检验其是否存在混沌属性。分析表明,通过对低维非线性动力学建模,风电机组发电容量时间序列表现出了混沌特性,此结果为基于混沌时间序列的风力发电容量预测奠定了基础。 The time series of wind power generating capacity were examined by nonlinear dynamical methods, in order to identify chaos characteristic from its random-like waveform. The analysis of modeling with low dimensions nonlinear dynamics indicated that time series of wind power generation capacity have chaos characteristic, and wind power generating capacity can be predicted in short time.
出处 《太阳能学报》 EI CAS CSCD 北大核心 2007年第11期1290-1294,共5页 Acta Energiae Solaris Sinica
关键词 风力发电 混沌属性 容量预测 wind power chaos characteristics capacity prediction
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参考文献13

  • 1Pinson P, Kariniotakis G N. Wind power forec-asting using fuzzy neural networks enhanced w-ith on-line prediction risk assessment[J].Power Tech Conference Proceedings, 2003 IEEE Bologna, 2003,2: 8.
  • 2Damousis I G, Alexiadis M C, Theocharis J B, et al. A Fuzzy model for wind speed prediction and power generation in wind parks using spatial con'elation[J]. IEEE Transaction on Energy Conversion, 2004,19(2):352-361.
  • 3Damousis I G,Dokopoulos P. A fuzzy expert system for the forecasting of wind speed and power generation in wind farms [J]. Power Industry Computer Applications,2001,4:63-69.
  • 4Wang P, Billinton R. Time-sequential simulation technique for rural distribution system reliability cost/worth evaluation including wind generation as alternative supply [J]. Generation, Transmission and Distribution, IEE Proceedings, 2001,148(4):355-360.
  • 5Billinton, Guang Bai.Adequacy evaluation of generation systems including wind energy[J]. IEEE Canadian Conference on Electrical and Computer Engineering, 2002,1:24-29.
  • 6Bech J, Hansen A D, Janosi L,et al. Wind farm modelling for power quality[J]. Industrial Electronics Society, 2001,3(29):1959-1964.
  • 7Li Shuhui, Wunsch D C,Edgar A O'Hair, et al. Using neural networks to estimate wind turbine power generation [J]. IEEE Transactions on Energy Co-nversion, 2001,16(3):276-282.
  • 8Alexiadis M C, Dokopoulos P S,Sahsamanoglou H S. Wind speed and power forecasting based on spatial correlation models[J].IEEE Transations on Energy Conversion,1999,14(3):836-842.
  • 9王庆余.非线性经济时间序列的相空间重构及预测[J].天津职业技术师范学院学报,2003,13(1):23-26. 被引量:5
  • 10Haykin S, Xiao Bo Li. Detection of signals in chaos[J]. Proceeding of the IEEE,1995,83(1):95-122.

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