Research of Aggregated Wind Power Prediction Method for a Region

Abstract:

Wind power is intermittent and volatility. Some new problems would arise to power system operation when Large-scale wind farm is connected with power systems. One of the most important effect is the influence on the grid dispatch. An aggregated wind power prediction method for a region is presented. By means of analyzing power characteristics and correlation, then the greater correlation is selected as model input. Based on grey correlation theory, a least squares support vector machine prediction model is established. Finally, this method is executed on a real case and integrated wind power prediction method can effectively improve the prediction accuracy and simplify the prediction step are proved.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 262-266
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.262
• Online since: December 2013
• Authors: Jin Yao Zhu, Jing Ru Yan, Xue Shen*, Ran Li
• Keywords: Aggregated Power Prediction, Characteristic of Wind Power, Correlation, Grey Correlation, Ls-SVM

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