Impacts of smart grid data on parallel path and contingency analysis efforts
Although a desirable attribute, not all operations models currently make use of real-time data for various reasons. To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, a...
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description | Although a desirable attribute, not all operations models currently make use of real-time data for various reasons. To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, and instrumentation technologies advance, smart grid technology demonstrates the potential to radically change network monitoring and data collection capabilities and advance simulation methods beyond that achievable given the current institutional environment. Because smart grid has the potential to conduct data collection in real time and to improve modeling and simulation results, potential data overload, validation, security, access, and other challenges are leading to new design opportunities. Similarly, we can expect significant impacts on system operation procedures and increased use of enhanced automation applications in operations decision making. |
doi_str_mv | 10.1109/PES.2010.5588144 |
format | Conference Proceeding |
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To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, and instrumentation technologies advance, smart grid technology demonstrates the potential to radically change network monitoring and data collection capabilities and advance simulation methods beyond that achievable given the current institutional environment. Because smart grid has the potential to conduct data collection in real time and to improve modeling and simulation results, potential data overload, validation, security, access, and other challenges are leading to new design opportunities. Similarly, we can expect significant impacts on system operation procedures and increased use of enhanced automation applications in operations decision making.</description><subject>Computational modeling</subject><subject>Data management</subject><subject>Data models</subject><subject>Electric potential</subject><subject>interconnected power systems</subject><subject>Monitoring</subject><subject>power system monitoring</subject><subject>power system planning</subject><subject>power system reliability</subject><subject>power system security</subject><subject>Security</subject><subject>Smart grids</subject><issn>1932-5517</issn><isbn>1424465494</isbn><isbn>9781424465491</isbn><isbn>1424483573</isbn><isbn>9781424465514</isbn><isbn>9781424483570</isbn><isbn>1424465516</isbn><isbn>1424465508</isbn><isbn>9781424465507</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1Lw0AYhFdUsNbeBS_7B1L3M7t7lFJrIaBg7-Xdr7qSJiG7l_x7A2YuM89lGAahZ0q2lBLz-rX_3jIyk5RaUyFu0CMVTAjNpeK3C9RSGHGHVtRwVklJ1QPa5PxLZgnJpKxXqDleB3Al4z7ifIWx4MuYPPZQAPcdHmCEtg3tHMoPhs5j13cldZfQuWlmaKecMg4x9mPJT-g-QpvDZvE1Or3vT7uPqvk8HHdvTZUMKZUxlhhfB6sVE8QGzYhzjDARDAgZrKLScUa486qW3FirWGAeNFAPMQrG1-jlvzaFEM7DmObd03k5gv8Bu2RPrw</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Kavicky, James A</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201007</creationdate><title>Impacts of smart grid data on parallel path and contingency analysis efforts</title><author>Kavicky, James A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-99b09d6eb87240be820cc2024e9a45eb715c3203cd76539bb72e2da8a1daff423</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Computational modeling</topic><topic>Data management</topic><topic>Data models</topic><topic>Electric potential</topic><topic>interconnected power systems</topic><topic>Monitoring</topic><topic>power system monitoring</topic><topic>power system planning</topic><topic>power system reliability</topic><topic>power system security</topic><topic>Security</topic><topic>Smart grids</topic><toplevel>online_resources</toplevel><creatorcontrib>Kavicky, James A</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kavicky, James A</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Impacts of smart grid data on parallel path and contingency analysis efforts</atitle><btitle>IEEE PES General Meeting</btitle><stitle>PES</stitle><date>2010-07</date><risdate>2010</risdate><spage>1</spage><epage>3</epage><pages>1-3</pages><issn>1932-5517</issn><isbn>1424465494</isbn><isbn>9781424465491</isbn><eisbn>1424483573</eisbn><eisbn>9781424465514</eisbn><eisbn>9781424483570</eisbn><eisbn>1424465516</eisbn><eisbn>1424465508</eisbn><eisbn>9781424465507</eisbn><abstract>Although a desirable attribute, not all operations models currently make use of real-time data for various reasons. To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, and instrumentation technologies advance, smart grid technology demonstrates the potential to radically change network monitoring and data collection capabilities and advance simulation methods beyond that achievable given the current institutional environment. Because smart grid has the potential to conduct data collection in real time and to improve modeling and simulation results, potential data overload, validation, security, access, and other challenges are leading to new design opportunities. Similarly, we can expect significant impacts on system operation procedures and increased use of enhanced automation applications in operations decision making.</abstract><pub>IEEE</pub><doi>10.1109/PES.2010.5588144</doi><tpages>3</tpages></addata></record> |
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subjects | Computational modeling Data management Data models Electric potential interconnected power systems Monitoring power system monitoring power system planning power system reliability power system security Security Smart grids |
title | Impacts of smart grid data on parallel path and contingency analysis efforts |
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