A Resilient Architecture for the Smart Grid
The smart grid offers many benefits due to the bidirectional communication between the users and the utility company, which makes it possible to perform a fine-grain consumption metering. This can be used for demand response purposes with the generation and delivery of electricity in real time. It i...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2018-08, Vol.14 (8), p.3745-3753 |
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| container_title | IEEE transactions on industrial informatics |
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| creator | Lopez, Javier Rubio, Juan E. Alcaraz, Cristina |
| description | The smart grid offers many benefits due to the bidirectional communication between the users and the utility company, which makes it possible to perform a fine-grain consumption metering. This can be used for demand response purposes with the generation and delivery of electricity in real time. It is essential to rapidly anticipate high peaks of demand or potential attacks, so as to avoid power outages and denial of service, while effectively supplying consumption areas. In this paper, we propose a novel architecture where cloud computing resources are leveraged (and tested in practice) to enable, on the one hand, the consumption prediction through time-series forecasting, as well as load balancing to uniformly distribute the demand over a set of available generators. On the other hand, it also allows the detection of connectivity losses and intrusions within the control network by using controllability concepts. |
| doi_str_mv | 10.1109/TII.2018.2826226 |
| format | Article |
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On the other hand, it also allows the detection of connectivity losses and intrusions within the control network by using controllability concepts.</description><subject>Cloud computing</subject><subject>Computer architecture</subject><subject>Control systems</subject><subject>Controllability</subject><subject>Cybersecurity</subject><subject>Denial of service attacks</subject><subject>Economic forecasting</subject><subject>Electricity consumption</subject><subject>fault detection</subject><subject>Generators</subject><subject>load balancing</subject><subject>Load management</subject><subject>Power consumption</subject><subject>power dominance</subject><subject>prediction</subject><subject>Real-time systems</subject><subject>resilience</subject><subject>Safety</subject><subject>Smart grid</subject><subject>Smart grids</subject><subject>Stability</subject><subject>structural controllability</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKt3wcuCR9k6yWy-jqVoXSgIWs9hu5mlW2q3JunBf29Ki6cZhuedGR7G7jlMOAf7vKzriQBuJsIIJYS6YCNuK14CSLjMvZS8RAF4zW5i3ACgBrQj9jQtPij22552qZiGdt0natMhUNENoUhrKj6_m5CKeej9Lbvqmm2ku3Mds6_Xl-XsrVy8z-vZdFG2wvJUcvBUgfEoKm58ZTWu8qRRtEKhlBTSgm5aq1WL0kokq1aoJK-8ajwo3-GYPZ727sPwc6CY3GY4hF0-6QQYrZUCbjMFJ6oNQ4yBOrcPff7113FwRyUuK3FHJe6sJEceTpGeiP5xg6isNvgHHvlZvQ</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Lopez, Javier</creator><creator>Rubio, Juan E.</creator><creator>Alcaraz, Cristina</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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This can be used for demand response purposes with the generation and delivery of electricity in real time. It is essential to rapidly anticipate high peaks of demand or potential attacks, so as to avoid power outages and denial of service, while effectively supplying consumption areas. In this paper, we propose a novel architecture where cloud computing resources are leveraged (and tested in practice) to enable, on the one hand, the consumption prediction through time-series forecasting, as well as load balancing to uniformly distribute the demand over a set of available generators. 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| ispartof | IEEE transactions on industrial informatics, 2018-08, Vol.14 (8), p.3745-3753 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Cloud computing Computer architecture Control systems Controllability Cybersecurity Denial of service attacks Economic forecasting Electricity consumption fault detection Generators load balancing Load management Power consumption power dominance prediction Real-time systems resilience Safety Smart grid Smart grids Stability structural controllability |
| title | A Resilient Architecture for the Smart Grid |
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