张秋雁;程含渺;李红斌;魏伟;

• 1:贵州电力试验研究院
• 2:华中科技大学电气与电子工程学院

摘要(Abstract)：

为评估数字电能计量系统的运行误差,提出了基于多参量退化模型的误差评估方法。数字化电能计量系统等效为多输入单输出系统,确定系统退化参量及参量退化作用量,从而建立多参量退化模型,并给出误差评估约束条件。在求解退化网络过程中,引入了大数据处理方法。针对数据种类繁多且变化速率不一的特点,采用差分归一化数据预处理方法。针对退化网络不能用初等函数描述的问题,采用前馈神经网络逼近退化特性。实现了在已知参量退化影响量的条件下,根据误差评估约束评估数字化电能计量系统误差。实例分析结果显示,所提方法的评估结果与实际运行状态在短时间内相符合,绝对误差小于0.2%,表明该方法能有效地动态评估数字化电能计量系统的误差。

关键词(KeyWords)： 数字化电能计量;误差评估;多参量退化模型;大数据处理;差分归一化;前馈神经网络

Abstract:

Keywords:

基金项目(Foundation): 中国南方电网公司科技项目(K-GZ2012-121)~~

作者(Author): 张秋雁;程含渺;李红斌;魏伟;

Email:

DOI: 10.13335/j.1000-3673.pst.2015.11.028

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