A wind power forecast system for Jiuquan wind power base in Gansu province

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 33, Issue 16, 2009, Pages 88-90

  Ma, Yanhong ^a   Wang, Ningbo ^a   Liu, Fuchao ^a   Liu, Guangtu ^a   Wang, Jiao ^b  

^a Gansu Electric Power Corporation Wind Power Technology Center   (China)

^b Gansu Electric Power Company   (China)

Author keywords

Wind energy forecast; Wind power forecast; Wind power monitoring

Indexed keywords

DATA COLLECTION; FORECAST METHOD; GANSU PROVINCE; JIUQUAN; POWER MARKETS; POWER SYSTEMS; WIND ENERGY FORECAST; WIND POWER FORECAST; WIND SPEED FORECAST;

ELECTRIC LOAD FORECASTING; ELECTRIC POWER TRANSMISSION NETWORKS; INTEGRATION; POWER GENERATION;

WIND POWER;

EID: 70049115184     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. http://news.xinhuanet.com/newscenter/2009-02/16/content_10828897.htm.
2. LIU Yanxiang, TAO Shuwang, ZHANG Xiuzhi. Review on methods of wind power forecasting. Advances in Climate Change Research, 2008, 4(4): 209-214.
3. LIN Tiejun, ZHANG Yunfei, YANG Xuelian, et al. The application of MM5 model to predict sea surface wind field. Marine Forecasts, 2004, 21(4): 1-9.
4. GONG Qiang, YUAN Guoen, WANG Hongyu, et al. Simulation experiments on surface gale process with MM5 model. Meteorological, 2005, 31(4): 53-57.
5. LIU Dong. Performance verification of mesoscale model MM5 to regional climate simulation. Plateau Meteorology, 2003, 22(1): 71-77.
6. MICHALAKES J, CHEN S, DUDHIA J, et al. Development of a next generation regional weather research and forecast model//Proceedings of the 9th ECMWF Workshop on the Use of High Performance Computing in Meteorology, Singapore, 2001: 269-276.
7. MICHALAKES J, DUDHIA J, GILL D. Design of a next generation regional weather research and forecast model. River Edge, NJ, USA: World Scientific, 1999: 117-124.
8. QIU Mingyu, LIN Jianxing, WANG Shangrong. The configuration installing and running of WRF model system in Fedore Core 4.0. Journal of Meteorological Research and Application, 2007, 28(4): 39-42.
9. JOENSEN A K, NIELSEN T S MADSEN H. Statistical methods for predicting wind power//Proceedings of European Wind Energy Conference on Wind Energy for the Next Millenium, October 6-9, 1997, Dublin, Ireland: 784-788.
10. JOENSEN A K, GIEBEL G, LANDBERG L, et al. Model output statistics applied to wind power prediction//Proceedings of European Wind Energy Conference on Wind Energy for the Next Millenium, March 1-5, 1999, Nice, France: 1157-1161.
11. LANGE M. Analysis of the uncertainty of industry power prediction. Oldenburg, Germany: University of Oldenburg, 2003.
12. NIELSEN T S, JOENSEN A K, MADSEN H, et al. A new reference for wind power forecasting. Wind Energy, 1998, 1(1): 29-34.