Short-term Wind Speed Prediction Based on Grey System Theory Model in the Region of China

• Autorzy: Zhang J. , Cheng M. , Cai X.

Warianty tytułu

PL

Krótkookresowe prognozowania szybkości wiatru bazujące na modelu Grey System Theory

• Języki publikacji: EN

Abstrakty

EN

Short-term wind speed forecasting is useful for power system to regulate power dispatching plan, decrease reserve power needed and increase the reliability of system. The method of the short-term wind speed prediction is proposed in this paper. The data of wind speed in Dafeng, Jiangsu Province of China is predicted by the model combined with the grey system theory (GST). A grey system model consists of accumulating generation operation of original wind speed sequence data, data processing and wind speed forecasting. The hourly mean wind speed data at 85 meters above ground level of one year is generated by meteorological tower operated by the local bureau of meteorology. In this paper, the hourly average wind speed measured every an hour of 24 hours on Jan.1st, 2008 are the initial dataset for predicting. The result of wind speed is predicted by the grey system theory model with 0.14% of minimum relative percentage error (MRPE) and 7.22% of maximum mean absolute percentage error. The wind speed predicted values are given by the graphs and tables, which can be used easily for assessment of short-term wind energy in the different regions within China.

PL

W artykule zaproponowano metodę krótkookresowego prognozowania szybkości wiatru. Do prognozowania zastosowano teorię GST (Grey system theory). System składa się z panelu zbierania i przechowywania danych, przetwarzania danych i prognozowania. Zbierane są dane prędkości wiatru 85 metrów nad powierzchnią ziemi.

Słowa kluczowe

EN

wind energy resource; grey system model prediction; wind energy density

PL

szybkość wiatru; metoda krótkookresowego prognozowania; teoria GST

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7a
• Strony: 67--71
• Opis fizyczny: Bibliogr. 17 poz., il., tab., wykr.

Twórcy

autor

Zhang J.

autor

Cheng M.

autor

Cai X.

• Shanghai Jiaotong University, Room No. B107, Ruth Mulan Chu Chao Building, Min Hang Campus of Shanghai Jiao Tong University, No.800 Dongchuan Road, Min Hang, Shanghai, 200240,

Bibliografia

• [1] Nielsen, T. H. M., Experiences With Statistical Methods for Wind Power Prediction. European Wind Energy Conference, Nice, France, EWEA. (1999)
• [2] KQ Nguyen, Wind energy in Vietnam: Resource assessment, development status and future implications, Energy Policy,35,2007,405-1413.
• [3] Xue Heng, Zhui Ruizhao, Yang Zhenbin and Yuan Chunhong, Assessment of wind reserves in China. Acta Energiae Sloaris Sinica, 22, 2001,167-170.
• [4] Wahid Irshad, Keng Goh and Jorge Kubie, Wind Resource Assessment in the Edinburgh Region.World Non-Grid-Connected Wind Power and Energy Conference, 2009, 1-5.
• [5] Zhu Rong, Zhang De, Wang Yuedong, Xing Xuhuang and Li Zechun, Assessment of wind energy potential in China.Engineering Sciences,2009,18-27.
• [6] Zhu Rong, Wind resource assessment and progress of the latest technology, Power and Energy Technology Forum, 2008, 60-66.
• [7] Alexiadis M, Dokopoulos P, Sahsamanoglou H et al, Short term forecasting of wind speed and related electrical power, Solar Energy, 63(1) , 1998, 61-68.
• [8] Kamal L, Jafri Y Z, Time series models to simulate and forecast hourly averaged wind speed in Wuetta, Pakistan lalarukh kamal and yasmin zahra jafri, Solar Energy, 63(1) , 1997, 23-32.
• [9] Nielsen T S, Joensen A K, Madsen H, et al, A new reference for wind power forecasting, Wind Energy, 1 (1), 1998, 29-34.
• [10] Liu Sifeng, Guo Tianbang and Dang Yaoguo, Grey System Theory and its Application (Second Edition), Science Press, BeiJing, 1999.
• [11] Niu Dongxiao, Cao Shuhua, Lu Jianchang, Zhao Lei. Power load forecasting technology and its applications [M]. China Electric Power Press, 2009
• [12] Erdal Kayacan, Baris Ulutas and Okyay Kaynak, Grey system theory-based models in time series prediction, Expert Systems with Applications, 37, 2010, 1784-1789.
• [13] Deng Julong, Introduction to grey system theory, The Journal of Grey System, 1, 1989, 1-24.
• [14] Xie Naiming and Liu Sifeng, Research on Discrete Grey Model and its Mechanism, 2005 International Conference on Systems, Man and Cybernetics Vol.1, 2005, 606-610.
• [15] Wang Dongfeng, Han Pu, Han Wei and Liu Hong-Jun, Typical grey prediction control methods and simulation studies, International Conference on Machine Learning and Cybernetics, 2003, 513-518.
• [16] Fadare DA, A statistical analysis of wind energy potential in Ibadan, Nigeria, based on Weibull distribution function, Pacific Journal of Science and Technology, 9(1), 2008, 110–119.
• [17] Sathyajith Mathew, Wind Energy Fundamentals, Resource Analysis and Economics, Netherlands: Springer, 2006.