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Post-Disturbance Dynamic Distribution System Restoration with DGs and Mobile Resources
Distributed generations (DGs) can act as emergency power supplies when distribution systems suffer from outages. However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are ab...
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creator | Liu, Weijia Ding, Fei Kumar, Utkarsh Paul, Shuva |
description | Distributed generations (DGs) can act as emergency power supplies when distribution systems suffer from outages. However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are able to reallocate resources to desired locations are regarded as important complements to conventional fixed DGs in assisting distribution system restoration. In this paper, a distribution system restoration model with DGs and mobile resources is proposed. Firstly, the dispatch and allocation of mobile resources are modeled with respect to the characteristics of the traffic network. Then the developed mobile resource models are integrated into the distribution system restoration model to co-optimize the scheduling of DGs and mobile resources. Uncertainty factors are managed by a model predictive control approach so that system operators can dynamically adjust the restoration strategy with the up-to-date information. The effectiveness of the proposed method is validated through an IEEE 13-bus test system. |
doi_str_mv | 10.1109/PESGM41954.2020.9281387 |
format | conference_proceeding |
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However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are able to reallocate resources to desired locations are regarded as important complements to conventional fixed DGs in assisting distribution system restoration. In this paper, a distribution system restoration model with DGs and mobile resources is proposed. Firstly, the dispatch and allocation of mobile resources are modeled with respect to the characteristics of the traffic network. Then the developed mobile resource models are integrated into the distribution system restoration model to co-optimize the scheduling of DGs and mobile resources. Uncertainty factors are managed by a model predictive control approach so that system operators can dynamically adjust the restoration strategy with the up-to-date information. 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However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are able to reallocate resources to desired locations are regarded as important complements to conventional fixed DGs in assisting distribution system restoration. In this paper, a distribution system restoration model with DGs and mobile resources is proposed. Firstly, the dispatch and allocation of mobile resources are modeled with respect to the characteristics of the traffic network. Then the developed mobile resource models are integrated into the distribution system restoration model to co-optimize the scheduling of DGs and mobile resources. Uncertainty factors are managed by a model predictive control approach so that system operators can dynamically adjust the restoration strategy with the up-to-date information. The effectiveness of the proposed method is validated through an IEEE 13-bus test system.</description><subject>distributed generations (DGs)</subject><subject>Distribution system restoration</subject><subject>mobile resources</subject><subject>model predictive control (MPC)</subject><issn>1944-9933</issn><isbn>1728155088</isbn><isbn>9781728155081</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkM1KAzEAhKMgWGufwIN5ga353SRH6dZVaLFY9Vrytxjp7kqSRfbt22rnMsM3MIcB4B6jOcZIPWyW23rNsOJsThBBc0UkplJcgBssjpFzJOUlmGDFWKEUpddgltI3OoozUZZkAj43fcpFFVIeotGd9bAaO90GC08sBjPk0HdwO6bsW_jmU-6j_kO_IX_Bqk5Qdw6uexP2_tT3Q7Q-3YKrRu-Tn519Cj6elu-L52L1Wr8sHldFIJzkgkkpGdfIaicbzzB1RmqBqFSmwUgrxbFUWjTEYWyp8lpwylVpXMO5dYbRKbj73w3e-91PDK2O4-58Az0AbwFTTg</recordid><startdate>20200802</startdate><enddate>20200802</enddate><creator>Liu, Weijia</creator><creator>Ding, Fei</creator><creator>Kumar, Utkarsh</creator><creator>Paul, Shuva</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20200802</creationdate><title>Post-Disturbance Dynamic Distribution System Restoration with DGs and Mobile Resources</title><author>Liu, Weijia ; Ding, Fei ; Kumar, Utkarsh ; Paul, Shuva</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i252t-488845a0cad8fe413db8a70389bf10a995189a7f2d11c39ea753596bdf55cdb43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>distributed generations (DGs)</topic><topic>Distribution system restoration</topic><topic>mobile resources</topic><topic>model predictive control (MPC)</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Weijia</creatorcontrib><creatorcontrib>Ding, Fei</creatorcontrib><creatorcontrib>Kumar, Utkarsh</creatorcontrib><creatorcontrib>Paul, Shuva</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 Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Weijia</au><au>Ding, Fei</au><au>Kumar, Utkarsh</au><au>Paul, Shuva</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Post-Disturbance Dynamic Distribution System Restoration with DGs and Mobile Resources</atitle><btitle>2020 IEEE Power & Energy Society General Meeting (PESGM)</btitle><stitle>PESGM</stitle><date>2020-08-02</date><risdate>2020</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><eissn>1944-9933</eissn><eisbn>1728155088</eisbn><eisbn>9781728155081</eisbn><abstract>Distributed generations (DGs) can act as emergency power supplies when distribution systems suffer from outages. However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are able to reallocate resources to desired locations are regarded as important complements to conventional fixed DGs in assisting distribution system restoration. In this paper, a distribution system restoration model with DGs and mobile resources is proposed. Firstly, the dispatch and allocation of mobile resources are modeled with respect to the characteristics of the traffic network. Then the developed mobile resource models are integrated into the distribution system restoration model to co-optimize the scheduling of DGs and mobile resources. Uncertainty factors are managed by a model predictive control approach so that system operators can dynamically adjust the restoration strategy with the up-to-date information. 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ispartof | 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, p.1-5 |
issn | 1944-9933 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | distributed generations (DGs) Distribution system restoration mobile resources model predictive control (MPC) |
title | Post-Disturbance Dynamic Distribution System Restoration with DGs and Mobile Resources |
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