A Conditional Model of Wind Power Forecast Errors and Its Application in Scenario Generation
作者： Chen Shen , Feng Liu , Zhiwen Wang
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摘要: In power system operation, characterizing the stochastic nature of wind is an important albeit challenging issue. It well known that distributions forecast errors often exhibit significant variability with respect to different values. Therefore, appropriate probabilistic models can provide accurate information for conditional error are great need. On basis Gaussian mixture model, this paper constructs analytical multiple farms The accuracy proposed verified by using historical data. Thereafter, a fast sampling method generate scenarios from which non-Gaussian and interdependent. efficiency verified.
arxiv.org参考文章(31)
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