Research of Simulation Parameters of Oil Field Distribution Network Based on Grey Prediction

Article Preview

Abstract:

In the view of the shortcomings of high load fluctuation and complex operating parameters changes, the paper proposes a method, which combines the improved GM (1,1) Grey forecasting model and mathematical simulation for pumping operation, in order to simulate the operating parameters of oil field distribution network. By the metabolism ways of 4-days equal dimension and weighted average, these methods have improved the prediction accuracy. Based on the predicted results and the rand function in MATLAB, the operating parameters of oil field distribution network will be determined by power flow calculation. The example results show that the prediction accuracy and simulation results have achieved the expected goal.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

734-739

Citation:

Online since:

November 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Sun Wei, Sun Jiantao. Energy Saving Analysis of Distributed Reactive Power Compensation in Oil Field Distribution Network. Popular Utilization of Electricity, 2007(4), pp.16-17.

Google Scholar

[2] Dai Chaoren, Jiang Yanzhi, Chen Guocheng. Power Network Optimization and Energy Saving Technologies in oil field. Beijing: Petroleum Industry Press, (1995).

Google Scholar

[3] Song K.B., Baek Y.S., Hong D.H., etal. Short-term Load Forecasting for the Holidays using Fuzzy Linear Regression Method. IEEE Trans on Power systems, 2005, 20(1), pp.96-101.

DOI: 10.1109/tpwrs.2004.835632

Google Scholar

[4] Niu Yong, Wang Zhenyu, Wang Hongjun, Sun Yi, Li Xin. Application of Improved Grey Model for Mid and Long-term Power Demand Forecasting. Journal of Northeast Dianli University, 2009, 29(2), pp.64-68.

Google Scholar

[5] Zhou Deqiang. Application of Improved Gray Verhulst Model in Middle and Long Term Load Forecasting. Power System Technology, 2009, 33(18), pp.124-127.

Google Scholar

[6] Liu Sifeng, Dang Yaoguo, Fang Zhigeng, etal. Grey system theory and its application. Beijing, Science Press, (2004).

Google Scholar

[7] Gastaldi M., Lam edica R., N ardecchia A, etal. Short-term forecasting of municipal load through a Kalm an filtering based approach. 2004 IEEE PES Power Systems Conference and Exposition, New York, NY, USA: (2004).

DOI: 10.1109/psce.2004.1397538

Google Scholar

[8] Wang Xuemeng, Zhang Jizhong, Wang Rong. Grey Systems Analysis and Applicable Computation Procedure. Wuhan: Hua Zhong University of Science and Technology Press, (2001).

Google Scholar

[9] Chen Yanping, Wang Qi, Zhao Caihong, Wei Tiantian. Reliable Distribution Power Flow Calculation Based on Advanced Forward and Backward Substitution Method. Journal of Nanjing Normal University, 2008, 8(1), pp.24-29.

Google Scholar