How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid?
The United States (U.S.) electric infrastructure urgently needs renovation, as highlighted by recent major outages in California, New York, Texas, and Florida. The media has discussed the aging power infrastructure, and the Public Utilities Commission called for a comprehensive review of the causes...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Inventions |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2411-5134/4/3/39 |
| _version_ | 1818036004387291136 |
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| author | Vivian Sultan Brian Hilton |
| author_facet | Vivian Sultan Brian Hilton |
| author_sort | Vivian Sultan |
| collection | DOAJ |
| description | The United States (U.S.) electric infrastructure urgently needs renovation, as highlighted by recent major outages in California, New York, Texas, and Florida. The media has discussed the aging power infrastructure, and the Public Utilities Commission called for a comprehensive review of the causes of recent power outages. Without optimization algorithms to account for the many operating parameters and outage scenarios, planning engineers may inadvertently choose non-optimal locations for new components such as automated distribution switches, thereby impacting circuit reliability. This study aims to address this problem by answering the research question: “How may location analytics should be used to enhance the reliability of the smart grid?” To address this problem, Insights for ArcGIS was used to build worksheets using a geographic information systems (GIS)-based approach to resolve the challenges faced by utilities to reduce power outage frequency. Three case studies demonstrate various risk scenarios wherein a utility can prepare for the unexpected. An artefact in Insights for ArcGIS was created using a design science research methodology. This research proposes a solution to facilitate storm/disaster planning and vegetation management, identify optimal grid locations needing inspection or work, and detect regions where new distribution switches may provide benefits, considering the many operating parameters and outage scenarios. The artefact demonstrates that GIS can play an integral role in resolving this problem. |
| first_indexed | 2024-12-10T07:04:03Z |
| format | Article |
| id | doaj.art-d040d6c3c46c4b319cdedd69f91ba1a7 |
| institution | Directory Open Access Journal |
| issn | 2411-5134 |
| language | English |
| last_indexed | 2024-12-10T07:04:03Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Inventions |
| spelling | doaj.art-d040d6c3c46c4b319cdedd69f91ba1a72022-12-22T01:58:15ZengMDPI AGInventions2411-51342019-08-01433910.3390/inventions4030039inventions4030039How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid?Vivian Sultan0Brian Hilton1Claremont Graduate University, Center for Information Systems & Technology, Claremont, CA 91711, USAClaremont Graduate University, Center for Information Systems & Technology, Claremont, CA 91711, USAThe United States (U.S.) electric infrastructure urgently needs renovation, as highlighted by recent major outages in California, New York, Texas, and Florida. The media has discussed the aging power infrastructure, and the Public Utilities Commission called for a comprehensive review of the causes of recent power outages. Without optimization algorithms to account for the many operating parameters and outage scenarios, planning engineers may inadvertently choose non-optimal locations for new components such as automated distribution switches, thereby impacting circuit reliability. This study aims to address this problem by answering the research question: “How may location analytics should be used to enhance the reliability of the smart grid?” To address this problem, Insights for ArcGIS was used to build worksheets using a geographic information systems (GIS)-based approach to resolve the challenges faced by utilities to reduce power outage frequency. Three case studies demonstrate various risk scenarios wherein a utility can prepare for the unexpected. An artefact in Insights for ArcGIS was created using a design science research methodology. This research proposes a solution to facilitate storm/disaster planning and vegetation management, identify optimal grid locations needing inspection or work, and detect regions where new distribution switches may provide benefits, considering the many operating parameters and outage scenarios. The artefact demonstrates that GIS can play an integral role in resolving this problem.https://www.mdpi.com/2411-5134/4/3/39power failureGIS modeldesign science researchvegetation managementsmart grid |
| spellingShingle | Vivian Sultan Brian Hilton How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? Inventions power failure GIS model design science research vegetation management smart grid |
| title | How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? |
| title_full | How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? |
| title_fullStr | How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? |
| title_full_unstemmed | How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? |
| title_short | How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid? |
| title_sort | how may location analytics be used to enhance the reliability of the smart grid |
| topic | power failure GIS model design science research vegetation management smart grid |
| url | https://www.mdpi.com/2411-5134/4/3/39 |
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