Location Analytics For Smart Grid Reliability
- Jul 25, 2019 6:34 pm GMT
This item is part of the Special Issue - 2019-07 - GIS, click here for more
In previous articles I have written about the work of Vivian Sultan in the Energy Informatics field. At the time of those articles, Vivian was a Ph.D. candidate in Information Systems and Technology at Claremont Graduate University (CGU). Recently Vivian obtained her Ph.D. with Location Analytics For Smart Grid Reliability as the topic of her doctoral dissertation. As in her past research activities, Geographic Information System (GIS) technology played a leading role. In particular, Sultan has made great use of the tools within the Esri GIS toolbox.
Unlike her past work where she relied on publicly available data, such as information provide by Los Angeles County and the California Public Utilities Commission (CPUC) as well as other sources, Sultan had the opportunity to utilize information provided by the Electric Power Research Institute (EPRI). The information came from a data mining initiative within an EPRI project. Data sets, provided by an EPRI utility member, included data from Advanced Metering Infrastructure (AMI), Supervisory Control and Data Acquisition (SCADA), Outage Management (OMS), Distribution Management (DMS), Asset Management (EAM), Customer Information (CIS) and other sources. In addition to the EPRI provided data, weather and other data was also obtained from state GIS Clearinghouse and Spatial Data Infrastructure databases as well as from the National Oceanic and Atmospheric Administration (NOAA). The former databases also provided shapefiles for roads and counties.
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