周松林,茆美琴,苏建徽.风电功率短期预测及非参数区间估计[J].中国电机工程学报,2011,31(25):10-16.Zhou Songlin,Mao Meiqin,Su Jianhui.Short-term forecasting of wind power and non-parametric confidence interval estimation[J].Proceedings of the CSEE,2011,31(25):10-16(in Chinese).
[2]
刘克文,蒲天骄,周海明,等.风电日前发电功率的集成学习预测模型[J].中国电机工程学报,2013,33(34):130-135.Liu Kewen,Pu Tianjiao,Zhou Haiming,et al.A short term wind power forecasting model based on combination algorithms[J].Proceedings of the CSEE,2013,33(34):130-135(in Chinese).
[3]
刘兴杰,岑添云,郑文书,等.基于模糊粗糙集与改进聚类的神经网络风速预测[J].中国电机工程学报,2014,34(19):3162-3169.Liu Xingjie,Cen Tianyun,Zheng Shuwen,et al.Neural network wind speed prediction based on fuzzy rough set and improved clustering[J].Proceedings of the CSEE,2014,34(19):3162-3169(in Chinese).
[4]
薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.Xue Yusheng,Lei Xing,Xue Feng,et al.A review on impacts of wind power uncertainties on power systems[J].Proceedings of the CSEE,2014,34(29):5029-5040(in Chinese).
[5]
孙元章,吴俊,李国杰,等.基于风速预测和随机规划的含风电场电力系统动态经济调度[J].中国电机工程学报,2009,29(4):41-47.Sun Yuanzhang,Wu Jun,Li Guojie,et al.Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming[J].Proceedings of the CSEE,2009,29(4):41-47(in Chinese).
[6]
吴雄,王秀丽,李骏,等.风电储能混合系统的联合调度模型及求解[J].中国电机工程学报,2013,33(13):10-17.Wu Xiong,Wang Xiuli,Li Jun,et al.A joint operation model and solution for hybrid wind energy storage systems[J].Proceedings of the CSEE,2013,33(13):10-17(in Chinese).
[7]
王彩霞,鲁宗相.风电功率预测信息在日前机组组合中的应用[J].电力系统自动化,2011,35(7):13-18.Wang Caixia,Lu Zongxiang.Unit commitment based on wind power forecast[J].Automation of Electric Power Systems,2011,35(7):13-18(in Chinese).
[8]
Meibom P,Barth R,Hasche B,et al.Stochastic optimization model to study the operational impacts of high wind penetrations in Ireland[J].IEEE Transactions on Power Systems,2011,26(3):1367-1379.
[9]
Siahkali H,Vakilian M.Stochastic unit commitment of wind farms integrated in power system[J].Electric Power Systems Research,2010,80(9):1006-1017.
[10]
Luh P B,Yu Y W,Zhang B J,et al.Grid integration of intermittent wind generation:a Markovian approach[J].IEEE Transactions on Smart Grid,2014,5(2):732-741.
[11]
黎静华,孙海顺,文劲宇,等.生成风电功率时间序列场景的双向优化技术[J].中国电机工程学报,2014,34(16):2544-2551.Li Jinghua,Sun Haishun,Wen Jinyu,et al.A two-dimensional optimal technology for constructing wind power time series scenarios[J].Proceedings of the CSEE,2014,34(16):2544-2551(in Chinese).
[12]
Lange M.On the uncertainty of wind power predictions-analysis of the forecast accuracy and statistical distribution of errors[J].Journal of Solar Energy Engineering,2005,127(2):177-184.
[13]
Wu J,Guan X H,Zhou X X,et al.Estimation and characteristic analysis of aggregated generation of geographically distributed wind farms[C]//Proceedings of 2011 IEEE Power and Energy Society General Meeting.San Diego,CA:IEEE,2011:1-6.
[14]
Ma X Y,Sun Y Z,Fang H L.Scenario generation of wind power based on statistical uncertainty and variability[J].IEEE Transactions on Sustainable Energy,2013,4(4):894-904.
[15]
Pinson P,Girard R.Evaluating the quality of scenarios of short-term wind power generation[J].Applied Energy,2012,96:12-20.
[16]
王澄海,隆霄,杨毅.大气数值模式及模拟[M].北京:气象出版社,2011:1-12.Wang Chenghai,Long Xiao,Yang Yi.Atmospheric numerical model and simulation[M].Beijing:China Meteorological Press,2011:1-12(in Chinese).
[17]
Kalnay E.Atmospheric modeling,data assimilation and predictability[M].Cambridge:Cambridge University Press,2002:63-100.
[18]
Li P,Wu J,Guan X H,et al.Probabilistic forecasting of aggregated generation for regional wind farms with geographical dynamic model[C]//Proceedings of 2012 IEEE Power and Energy Society General Meeting.San Diego,CA:IEEE,2012:1-8.
[19]
Salameh T,Drobinski P,Vrac M,et al.Statistical downscaling of near-surface wind over complex terrain in southern France[J].Meteorology and Atmospheric Physics,2009,103(1-4):253-265.
[20]
Curry C L,Van der Kamp D,Monahan A H.Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain.I.Predicting wind speed[J].Climate Dynamics,2012,38(7-8):1281-1299.
[21]
Achberger C,Ekström M,Bärring L.Estimation of local near-surface wind conditions-a comparison of WASP and regression based techniques[J].Meteorological Applications,2002,9(2):211-221.
[22]
刘永和,郭维栋,冯锦明,等.气象资料的统计降尺度方法综述[J].地球科学进展,2011,26(8):837-847.Liu Yonghe,Guo Weidong,Feng Jinming,et al.A summary of methods for statistical downscaling of meteorological data[J].Advances in Earth Sciences,2011,26(8):837-847(in Chinese).
[23]
Landberg L.Short-term prediction of local wind conditions[J].Journal of Wind Engineering and Industrial Aerodynamics,2001,89(3-4):235-245.
[24]
de Rooy W C,Kok K.A combined physical-statistical approach for the downscaling of model wind speed[J].Weather and Forecasting,2004,19(3):485-495.
[25]
Kalnay E,Kanamitsu M,Kistler R,et al.The NCEP/NCAR 40-year reanalysis project[J].Bulletin of the American Meteorological Society,1996,77(3):437-471.
Bar-Shalon Y,Li X R,Kirubarajan T.Estimation with applications to tracking and navigation:theory algorithms and software[M].New York:John Wiley & Sons,Inc.,2001:371-395.
[28]
Tanizaki H.Nonlinear filters:estimation and applications[M].New York:Springer-Verlag,1996:37-42.
[29]
Heitsch H,Römisch W.Scenario reduction algorithms in stochastic programming[J].Computational Optimization and Applications,2003,24(2-3):187-206.
[30]
Wind Integration Datasets[OB/OL].Golden,Colorado:National Renewable Energy Laboratory.http://www.Nrel. gov/electricity/transmission/eastern_wind_methodology.html.
[31]
Pinson P,Madsen H,Nielsen H A,et al.From probabilistic forecasts to statistical scenarios of short-term wind power production[J].Wind Energy,2009,12(1):51-62.
[32]
黎静华,文劲宇,程时杰,等.考虑多风电场出力Copula相关关系的场景生成方法[J].中国电机工程学报,2013,33(16):30-36.Li Jinghua,Wen Jinyu,Cheng Shijie,et al.A scene generation method considering copula correlation relationship of multi-wind farms power[J].Proceedings of the CSEE,2013,33(16):30-36(in Chinese).