基于改进bin算法的风电机组风速-功率数据清洗

doi:10.11959/j.issn.2096-6652.202007

Abstract

Abstract:

Wind power is an important indicator of the generating performance of wind turbines,which is of great significance to the operation and management of wind farms.The wind-speed and power data were collected through the monitoring and control (SCADA) system installed in the wind farm.There are a lot of noises in the original data,which brings great challenges to the subsequent application research.Based on the spatial distribution characteristics of wind-speed and power data,wind-speed and power data was divided into three categories,the data preprocessing method bin algorithm was improved,and the method and process of abnormal data identification and cleaning based on district bin(dbin) algorithm were proposed.The experimental results show that the dbin algorithm proposed in this paper is more efficient than the traditional algorithm in identifying abnormal data,and has strong universality.

Key words: wind turbines, wind-speed and power, dbin, supervisory control and data acquisition

CLC Number:

TM315

Xin WANG,Zhengxia WANG. Wind speed-power data cleaning of wind turbine based on improved bin algorithm[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(1): 62-71.

Figures/Tables 14

References 17

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清洗方案	机组编号	原始数据/条	剩余数据/条	数据删除量	清洗时间/s
bin	1	156 919	49 272	68.6%	3.38
	2	175 806	40 895	76.7%	3.40
	3	230 817	41 313	82.1%	3.73
BP	1	156 919	43745	72.1%	6.33
	2	175 806	60 515	65.6%	6.250
	3	230 817	85 930	62.8%	10.03
SVR	1	156 919	84 853	45.9%	854.64
	2	175 806	62 457	64.5%	171.37
	3	230 817	93 024	59.7%	670.33
dbin	1	156 919	102 415	34.7%	3.38
	2	175 806	98 765	43.8%	3.53
	3	230 817	128 463	44.3%	3.43

Wind speed-power data cleaning of wind turbine based on improved bin algorithm

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