Scholarlink

In this paper, a anomaly data cleaning method based sliding standard deviation for distributed photovoltaic power plants is proposed. Due to lack of irradiance measurement information, the DC voltage and output power were selected for data cleaning. The DC voltages were categorized into three groups, the before starting voltage group, the low irradiance operating group and the normal operating group. The method is used for abnormal data identification through grouping of DC voltages, calculation of sliding standard deviation and threshold setting. The data of a real distributed PV plants are take as a example and the results illustrate the effectiveness of the method by cleaning the abnormal data.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Anomaly Data Cleaning for Distributed Photovoltaic Power Plants Based on Sliding Standard Deviation

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Dexiang Jia,
  • Chengcheng Fu,
  • Xuefeng Jia,
  • Youtian Ma,
  • Cheng Zhong

摘要

In this paper, a anomaly data cleaning method based sliding standard deviation for distributed photovoltaic power plants is proposed. Due to lack of irradiance measurement information, the DC voltage and output power were selected for data cleaning. The DC voltages were categorized into three groups, the before starting voltage group, the low irradiance operating group and the normal operating group. The method is used for abnormal data identification through grouping of DC voltages, calculation of sliding standard deviation and threshold setting. The data of a real distributed PV plants are take as a example and the results illustrate the effectiveness of the method by cleaning the abnormal data.