• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Smart Grid, IEEE Transactions on >A Data-Driven Approach for Detection and Estimation of Residential PV Installations
【24h】

A Data-Driven Approach for Detection and Estimation of Residential PV Installations

机译：一种数据驱动的住宅光伏装置检测和评估方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The number of photovoltaic (PV) systems in the electric grid is growing at an unprecedented speed. This is rapidly transforming the ways in which the traditional distribution grid is being planned and operated. A problem faced by utilities is that, in many cases, the PV system installed does not correspond to the size or type filed with the installation permit, or simply the installation took place without a permit. In order to maintain grid reliability and safety, utilities must be able to detect and monitor all PV installations in their network. This paper proposes a data-driven approach for the detection, verification, and estimation of residential PV system installations. We use a change-point detection algorithm to screen out abnormal energy consumption behaviors including unauthorized PV installations. Then the existence of the unauthorized PV installation is further verified through a statistical inference known as permutation test with Spearman's rank coefficient. The proposed hypothesis test takes the customer's load profiles before and after the detected change-point as inputs, which are estimated through Gaussian kernel density method. Finally, the local cloud cover index is integrated with smart meter measurements to estimate the size of the PV system. The proposed method has been tested and validated with actual smart meter measurements under several scenarios.
机译：电网中的光伏（PV）系统数量正以前所未有的速度增长。这正在迅速改变传统配电网的规划和运营方式。公用事业面临的一个问题是，在许多情况下，所安装的光伏系统与安装许可中提交的尺寸或类型不符，或者仅仅是在没有许可的情况下进行安装。为了维持电网的可靠性和安全性，公用事业公司必须能够检测和监视其网络中的所有光伏装置。本文提出了一种数据驱动的方法来检测，验证和估算住宅光伏系统的安装。我们使用变化点检测算法来筛选异常能源消耗行为，包括未经授权的光伏装置。然后，通过称为Spearman秩系数的置换测试的统计推断进一步验证未授权PV安装的存在。提出的假设检验将客户在检测到的变化点之前和之后的负载曲线作为输入，并通过高斯核密度方法进行估算。最后，将本地云量指数与智能电表测量值集成在一起，以估算光伏系统的大小。所提出的方法已经在几种情况下通过实际的智能电表测量进行了测试和验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号