A Spatial Analytics Framework to Investigate Electric Power-Failure Events and Their Causes
Bibliographic Data
| ID | 22033279 |
|---|---|
| Authors | Vivian Sultan (0000-0002-1066-5212, Claremont Graduate University, corresponding author), Brian Hilton (Claremont Graduate University) |
| Year | 2020 |
| Volume | 9 |
| Issue | 1 |
| Pages | 54 |
| Publication date | 2020-01-16 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9010054 |
| OpenAlex | W2998856444 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
The U.S. electric-power infrastructure urgently needs renovation. Recent major power outages in California, New York, Texas, and Florida have highlighted U.S. electric-power unreliability. The media have discussed the U.S. aging power infrastructure and the Public Utilities Commission has demanded a comprehensive review of the causes of recent power outages. This paper explores geographic information systems (GIS) and a spatially enhanced predictive power-outage model to address: How may spatial analytics enhance our understanding of power outages? To answer this research question, we developed a spatial analysis framework that utilities can use to investigate power-failure events and their causes. Analysis revealed areas of statistically significant power outages due to multiple causes. This study’s GIS model can help to advance smart-grid reliability by, for example, elucidating power-failure root causes, defining a data-responsive blackout solution, or implementing a continuous monitoring and management solution. We unveil a novel use of spatial analytics to enhance power-outage understanding. Future work may involve connecting to virtually any type of streaming-data feed and transforming GIS applications into frontline decision applications, showing power-outage incidents as they occur. GIS can be a major resource for electronic-inspection systems to lower the duration of customer outages, improve crew response time, as well as reduce labor and overtime costs
Analytics · Blackout · Data science · Electric power · Electric power system · Geographic information system · Reliability engineering · Computer Science · Engineering · Infrastructure Resilience and Vulnerability Analysis · Power System Reliability and Maintenance · Underground infrastructure and sustainability
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |