电器与能效管理技术Issue(4)：65-73,89,10.DOI:10.16628/j.cnki.2095-8188.2024.04.009
基于SSA-GPR模型的风电机组运行状态监测
Wind Turbine Operation Status Monitoring Based on SSA-GPR Model
摘要
Abstract
In order to improve the power generation efficiency and economic benefits of wind turbines,the online monitoring of the operating status of wind turbines is particularly important.A new method for monitoring the status of wind turbines based on sparrow search algorithm optimized Gaussian process(SSA-GPR)model is proposed.Firstly,the data collected from data collection and monitoring is preprocessed and analyzed.The correlation analysis is used to select the input of the model.A normal regression model using the parameters of the unit under normal operating conditions is established to calculate the reconstruction error in real-time.The unit status is determined by monitoring whether the predicted power residual exceeds the dynamic fault threshold in real-time.Through examples,it is shown that the proposed SSA-GPR model smaller prediction error and can achieve abnormal operation status warning of the unit 120 minutes in advance.关键词
SCADA数据/麻雀搜索算法/高斯过程回归/状态监测/风电机组Key words
SCADA data/sparrow search algorithm(SSA)/Gaussian process regression(GPR)/status monitoring/wind turbine分类
信息技术与安全科学引用本文复制引用
张杰,任康,马天,王伟璐,邢作霞,韩广明..基于SSA-GPR模型的风电机组运行状态监测[J].电器与能效管理技术,2024,(4):65-73,89,10.基金项目
辽宁省兴辽英才计划项目(XLYC2008005) （XLYC2008005）
