Affiliation:
1. Jiangsu Frontier Electric Technology Co. Ltd, Nanjing 211102, China
Abstract
To enable power generation companies to make full use of effective wind energy resources and grid companies to correctly schedule wind power, this paper proposes a model of offshore wind power forecast considering the variation of wind speed in second-level time scale. First, data preprocessing is utilized to process the abnormal data and complete the normalization of offshore wind speed and wind power. Then, a wind speed prediction model is established in the second time scale through the differential smoothing power sequence. Finally, a rolling PSO-LSTM memory network is authorized to realize the prediction of second-level time scale wind speed and power. An offshore wind power case is utilized to illustrate and characterize the performance of the wind power forecast model.
Funder
Jiangsu Frontier Power Technology Co., Ltd
Subject
General Engineering,General Mathematics
Cited by
7 articles.
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