Data Acquisition and Power Forecasting of Trans-Regional Wind Farm

S.X. Wang; D.  Lv; Z.Y. Liu; F. He

doi:10.4028/www.scientific.net/AMM.232.711

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 232Data Acquisition and Power Forecasting of...

Data Acquisition and Power Forecasting of Trans-Regional Wind Farm

Abstract:

For the geographical dispersion of wind farms, an effective and reliable platform of data transmission and storage based on VPN private tunnel and PI database is built to solve information sharing and centralized power forecasting. Then the real-time data which wind speed is predicted by ARMA model and predictive power through the wind-power model is built by neural networks is published. The simulation results indicate the forecasting system is conducive to ensuring the stable and secure running of the grid and improving the utilization rate of wind power.

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Mechanical and Aerospace Engineering, ICMAE2012

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Periodical:

Applied Mechanics and Materials (Volume 232)

Pages:

711-715

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.232.711

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Online since:

November 2012

Authors:

S.X. Wang, D. Lv, Z.Y. Liu, F. He

Keywords:

ARMA Model, BP Neural Network (BPNN), Data Acquisition, Website Publishing Platform, Wind Power Forecasting.

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