Dispersion distance-integrated parallelized wind power plant output power prediction method

• Main Authors: LIU LIMING, ZHOU HONGWEI, LIN HAIYUAN, GAO CHANGZHENG, TANG WEINING, LYU XIANGYU, LI CHENGGANG, TIAN CHUNGUANG, YAO ZHIZHONG, DU MINGLIANG, LI DEXIN, ZHANG YIZHU, WANG CHANGSHENG, GAO XIAOFENG, BI ZHENGJUN, ZHANG SHUO, WANG DING, CUI HUAIYU
• Format: Patent
• Language: Chinese; English
• Published: 16.02.2018
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a dispersion distance-integrated parallelized wind power plant output power prediction method. The method of the invention belongs to the wind power technical field. According to the dispersion distance-integrated parallelized wind power plant output power prediction method, by means of the clustering of existing data, the historical data of wind power are clustered into a plurality of groups according to features, and the clustered data groups are stored on a plurality of computers; in a wind power prediction process, the computers perform prediction simultaneously andintegrate prediction results on the basis of the similarities of the data features of a time point to be predicted and the features of the historical data so as to realize more accurate and fast windpower output prediction. 种分散距离整合的并行化的风电场输出功率预测方法，本发明属于风电技术领域，具体涉及种分散距离整合的并行化的风电场输出功率预测方法。本发明提供种分散距离整合的并行化的风电场输出功率预测方法。通过对已有数据的聚类，将风电历史数据按照特征聚类划分为多组，并存储在多台计算机之上；在风电预测过程中多台计算机同时进行预测，并在基于待预测时间点与历史数据特征的近似性整合预测结果，实现更加精确和快速的风电输出功率预测