Failure Analysis of the New York City Power Grid
As U.S. power grid transforms itself into Smart Grid, it has become less reliable in the past years. Power grid failures lead to huge financial cost and affect people’s life. Using a statistical analysis and holistic approach, this paper analyzes the New York City power grid failures: failure patter...
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Department of Computer Science, Columbia University
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ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D8G73CBZ 2023-05-15T17:32:20+02:00 Failure Analysis of the New York City Power Grid Wu, Leon Anderson, Roger N. Boulanger, Albert G. Rudin, Cynthia Kaiser, Gail E. 2014 https://doi.org/10.7916/D8G73CBZ English eng Department of Computer Science, Columbia University https://doi.org/10.7916/D8G73CBZ Smart power grids Computer science Reports 2014 ftcolumbiauniv https://doi.org/10.7916/D8G73CBZ 2019-04-04T08:11:57Z As U.S. power grid transforms itself into Smart Grid, it has become less reliable in the past years. Power grid failures lead to huge financial cost and affect people’s life. Using a statistical analysis and holistic approach, this paper analyzes the New York City power grid failures: failure patterns and climatic effects. Our findings include: higher peak electrical load increases likelihood of power grid failure; increased subsequent failures among electrical feeders sharing the same substation; underground feeders fail less than overhead feeders; cables and joints installed during certain years are more likely to fail; higher weather temperature leads to more power grid failures. We further suggest preventive maintenance, intertemporal consumption, and electrical load optimization for failure prevention. We also estimated that the predictability of the power grid component failures correlates with the cycles of the North Atlantic Oscillation (NAO) Index. Report North Atlantic North Atlantic oscillation Columbia University: Academic Commons |
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Columbia University: Academic Commons |
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ftcolumbiauniv |
language |
English |
topic |
Smart power grids Computer science |
spellingShingle |
Smart power grids Computer science Wu, Leon Anderson, Roger N. Boulanger, Albert G. Rudin, Cynthia Kaiser, Gail E. Failure Analysis of the New York City Power Grid |
topic_facet |
Smart power grids Computer science |
description |
As U.S. power grid transforms itself into Smart Grid, it has become less reliable in the past years. Power grid failures lead to huge financial cost and affect people’s life. Using a statistical analysis and holistic approach, this paper analyzes the New York City power grid failures: failure patterns and climatic effects. Our findings include: higher peak electrical load increases likelihood of power grid failure; increased subsequent failures among electrical feeders sharing the same substation; underground feeders fail less than overhead feeders; cables and joints installed during certain years are more likely to fail; higher weather temperature leads to more power grid failures. We further suggest preventive maintenance, intertemporal consumption, and electrical load optimization for failure prevention. We also estimated that the predictability of the power grid component failures correlates with the cycles of the North Atlantic Oscillation (NAO) Index. |
format |
Report |
author |
Wu, Leon Anderson, Roger N. Boulanger, Albert G. Rudin, Cynthia Kaiser, Gail E. |
author_facet |
Wu, Leon Anderson, Roger N. Boulanger, Albert G. Rudin, Cynthia Kaiser, Gail E. |
author_sort |
Wu, Leon |
title |
Failure Analysis of the New York City Power Grid |
title_short |
Failure Analysis of the New York City Power Grid |
title_full |
Failure Analysis of the New York City Power Grid |
title_fullStr |
Failure Analysis of the New York City Power Grid |
title_full_unstemmed |
Failure Analysis of the New York City Power Grid |
title_sort |
failure analysis of the new york city power grid |
publisher |
Department of Computer Science, Columbia University |
publishDate |
2014 |
url |
https://doi.org/10.7916/D8G73CBZ |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://doi.org/10.7916/D8G73CBZ |
op_doi |
https://doi.org/10.7916/D8G73CBZ |
_version_ |
1766130400920338432 |