摘要
根据特高压换流站阀厅连接金具温升的特点,提出了模糊系统结合递推最小二乘的温升预测新方法.设计了阀厅连接金具温升试验,得到能代表样本空间的训练数据与区别于训练数据,用于检测模糊系统可靠性的测试数据.通过训练数据利用递推最小二乘算法训练模糊系统,训练完成后通过测试数据检验模糊系统可靠性,误差在合理范围内.测试结果验证了运用模糊系统结合递推最小二乘算法预测阀厅连接金具的温升是可行的.利用回归分析预测阀厅连接金具的温升,并与模糊系统进行比较,结果表明模糊系统在阀厅连接金具温升预测方面具有优势.
According to the characteristics of the rise of temperature of connection fitting in valve hall of converter station,a new method that using the fuzzy system combined with recursive least square to predict the rise of temperature has been put forward.The experiment of rising temperature of connection fitting in valve hall is designed,the training data and testing data are obtained.The training data could represent the whole sample space.The testing data used for testing the fuzzy system are different from training data.The fuzzy system is trained by recursive least square through training data.After training,the reliability of fuzzy system is tested by testing data.The error is in reasonable bound.The results show that using fuzzy system combined with recursive least square in prediction of the rise of temperature of connection fitting is feasible.Traditional regression analysis is also used in predicting the rise of temperature of connection fitting in valve hall.Compared with the prediction results of regression analysis,the fuzzy system has advantage.
出处
《内蒙古大学学报（自然科学版）》
CAS
北大核心
2016年第3期304-311,共8页
Journal of Inner Mongolia University：Natural Science Edition
基金
国家863高技术基金项目(2014AA051802)资助
国家电网科技项目"特高压直流换流站中隔离开关
阀厅接地开关和金具关键技术研究"资助
关键词
模糊系统
递推最小二乘
阀厅连接金具
训练数据
测试数据
回归分析
fuzzy system
recursive least square
connection fitting in valve hall
training datum
testing datum
regression analysis
