Predicting weather-associated impacts in outage management utilizing the GIS framework

Po-Chen Chen, T. Dokic, Nicholas Stokes, Daniel W. Goldberg, M. Kezunovic
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引用次数: 19

Abstract

Weather-related impacts are at the top of all outage causes. Yet, traditional outage management (OM) approaches do not integrate all available and relevant weather-associated data automatically. This paper presents a predictive method that correlates different weather-associated data layers to provide predictive OM process implemented using the geographic information systems (GIS) framework. Examples for both transmission and distribution OM are demonstrated using vegetation, wind, and power system data in ArcGIS.
利用GIS框架预测停电管理中与天气相关的影响
与天气有关的影响是所有中断原因的首要原因。然而,传统的停电管理(OM)方法不能自动集成所有可用的和相关的天气相关数据。本文提出了一种利用地理信息系统(GIS)框架,将不同天气相关数据层关联起来,提供预测OM过程的预测方法。使用ArcGIS中的植被、风和电力系统数据,演示了输配电OM的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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