A Novel Pre-Dispatching Strategy of Power System under Extreme Weather
Pre-dispatch is an important way for distribution networks to cope with typhoon weather, enhance resilience and reduce economic losses. In order to accurately describe the faults and consequences of components’ failure in the distribution network, this paper establishes a pre-dispatch model to cope...
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| Veröffentlicht in: | Processes 2021-12, Vol.9 (12), p.2112 |
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| container_title | Processes |
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| creator | Huang, Tianen Wu, Zhenjie Wang, Yuantao Tang, Jian Li, Xiang Mo, Yajun Li, Chengda Wu, Wenguo Xu, Shuangdie Niu, Tao Li, Fan |
| description | Pre-dispatch is an important way for distribution networks to cope with typhoon weather, enhance resilience and reduce economic losses. In order to accurately describe the faults and consequences of components’ failure in the distribution network, this paper establishes a pre-dispatch model to cope with typhoon weather based on line failures consequence analysis. First, Monte Carlo simulation is used to sample the typical fault scenarios of vulnerable lines. According to the location of switchgear, the distribution network is partitioned and a block breaker correlation matrix is established. Combined with the line fault status, a fault consequence model of distribution lines related to the pre-dispatching strategy is established. Then, the objective function is given to minimize the sum of the cost of the pre-dispatch operation and the power outage, and then establish a pre-dispatch model for the distribution network. In order to reduce the computational complexity, PH (Progressive Hedging) algorithm is used to solve the model. Finally, the IEEE-69 test system is used to analyze the effectiveness of the method. The results show that the proposed dispatching model can effectively avoid potential risks, reduce system economic losses and improve the resilience of power grids. |
| doi_str_mv | 10.3390/pr9122112 |
| format | Article |
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In order to accurately describe the faults and consequences of components’ failure in the distribution network, this paper establishes a pre-dispatch model to cope with typhoon weather based on line failures consequence analysis. First, Monte Carlo simulation is used to sample the typical fault scenarios of vulnerable lines. According to the location of switchgear, the distribution network is partitioned and a block breaker correlation matrix is established. Combined with the line fault status, a fault consequence model of distribution lines related to the pre-dispatching strategy is established. Then, the objective function is given to minimize the sum of the cost of the pre-dispatch operation and the power outage, and then establish a pre-dispatch model for the distribution network. In order to reduce the computational complexity, PH (Progressive Hedging) algorithm is used to solve the model. Finally, the IEEE-69 test system is used to analyze the effectiveness of the method. The results show that the proposed dispatching model can effectively avoid potential risks, reduce system economic losses and improve the resilience of power grids.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr9122112</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Automation ; Computer applications ; Correlation analysis ; Economic impact ; Economic models ; Electric power grids ; Failure ; Failure analysis ; Linear programming ; Monte Carlo simulation ; Planning ; Resilience ; Switchgear ; Weather</subject><ispartof>Processes, 2021-12, Vol.9 (12), p.2112</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-eba2da5b4910505569676e8fa772295461de326e97e7d40f352e9c52d6a5cf443</citedby><cites>FETCH-LOGICAL-c292t-eba2da5b4910505569676e8fa772295461de326e97e7d40f352e9c52d6a5cf443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Huang, Tianen</creatorcontrib><creatorcontrib>Wu, Zhenjie</creatorcontrib><creatorcontrib>Wang, Yuantao</creatorcontrib><creatorcontrib>Tang, Jian</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Mo, Yajun</creatorcontrib><creatorcontrib>Li, Chengda</creatorcontrib><creatorcontrib>Wu, Wenguo</creatorcontrib><creatorcontrib>Xu, Shuangdie</creatorcontrib><creatorcontrib>Niu, Tao</creatorcontrib><creatorcontrib>Li, Fan</creatorcontrib><title>A Novel Pre-Dispatching Strategy of Power System under Extreme Weather</title><title>Processes</title><description>Pre-dispatch is an important way for distribution networks to cope with typhoon weather, enhance resilience and reduce economic losses. In order to accurately describe the faults and consequences of components’ failure in the distribution network, this paper establishes a pre-dispatch model to cope with typhoon weather based on line failures consequence analysis. First, Monte Carlo simulation is used to sample the typical fault scenarios of vulnerable lines. According to the location of switchgear, the distribution network is partitioned and a block breaker correlation matrix is established. Combined with the line fault status, a fault consequence model of distribution lines related to the pre-dispatching strategy is established. Then, the objective function is given to minimize the sum of the cost of the pre-dispatch operation and the power outage, and then establish a pre-dispatch model for the distribution network. In order to reduce the computational complexity, PH (Progressive Hedging) algorithm is used to solve the model. Finally, the IEEE-69 test system is used to analyze the effectiveness of the method. The results show that the proposed dispatching model can effectively avoid potential risks, reduce system economic losses and improve the resilience of power grids.</description><subject>Algorithms</subject><subject>Automation</subject><subject>Computer applications</subject><subject>Correlation analysis</subject><subject>Economic impact</subject><subject>Economic models</subject><subject>Electric power grids</subject><subject>Failure</subject><subject>Failure analysis</subject><subject>Linear programming</subject><subject>Monte Carlo simulation</subject><subject>Planning</subject><subject>Resilience</subject><subject>Switchgear</subject><subject>Weather</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNUF9LwzAcDKLgmHvwGwR88qGa_NIkzeOYmwpDB1N8LFn769ax_jFJ1X57KxPxXu4Ojjs4Qi45uxHCsNvWGQ7AOZyQEQDoyGiuT__pczLxfs8GGC4SqUZkMaVPzQce6MphdFf61oZsV9Zbug7OBtz2tCnoqvlER9e9D1jRrs4HM_8KDiukb2jDDt0FOSvswePkl8fkdTF_mT1Ey-f7x9l0GWVgIES4sZBbuYkNZ5JJqYzSCpPCag1gZKx4jgIUGo06j1khJKDJJOTKyqyIYzEmV8fe1jXvHfqQ7pvO1cNkCopDIhKmkyF1fUxlrvHeYZG2rqys61PO0p-n0r-nxDcs_Vk_</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Huang, Tianen</creator><creator>Wu, Zhenjie</creator><creator>Wang, Yuantao</creator><creator>Tang, Jian</creator><creator>Li, Xiang</creator><creator>Mo, Yajun</creator><creator>Li, Chengda</creator><creator>Wu, Wenguo</creator><creator>Xu, Shuangdie</creator><creator>Niu, Tao</creator><creator>Li, Fan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20211201</creationdate><title>A Novel Pre-Dispatching Strategy of Power System under Extreme Weather</title><author>Huang, Tianen ; Wu, Zhenjie ; Wang, Yuantao ; Tang, Jian ; Li, Xiang ; Mo, Yajun ; Li, Chengda ; Wu, Wenguo ; Xu, Shuangdie ; Niu, Tao ; Li, Fan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-eba2da5b4910505569676e8fa772295461de326e97e7d40f352e9c52d6a5cf443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Automation</topic><topic>Computer applications</topic><topic>Correlation analysis</topic><topic>Economic impact</topic><topic>Economic models</topic><topic>Electric power grids</topic><topic>Failure</topic><topic>Failure analysis</topic><topic>Linear programming</topic><topic>Monte Carlo simulation</topic><topic>Planning</topic><topic>Resilience</topic><topic>Switchgear</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Tianen</creatorcontrib><creatorcontrib>Wu, Zhenjie</creatorcontrib><creatorcontrib>Wang, Yuantao</creatorcontrib><creatorcontrib>Tang, Jian</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Mo, Yajun</creatorcontrib><creatorcontrib>Li, Chengda</creatorcontrib><creatorcontrib>Wu, Wenguo</creatorcontrib><creatorcontrib>Xu, Shuangdie</creatorcontrib><creatorcontrib>Niu, Tao</creatorcontrib><creatorcontrib>Li, Fan</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Tianen</au><au>Wu, Zhenjie</au><au>Wang, Yuantao</au><au>Tang, Jian</au><au>Li, Xiang</au><au>Mo, Yajun</au><au>Li, Chengda</au><au>Wu, Wenguo</au><au>Xu, Shuangdie</au><au>Niu, Tao</au><au>Li, Fan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Pre-Dispatching Strategy of Power System under Extreme Weather</atitle><jtitle>Processes</jtitle><date>2021-12-01</date><risdate>2021</risdate><volume>9</volume><issue>12</issue><spage>2112</spage><pages>2112-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>Pre-dispatch is an important way for distribution networks to cope with typhoon weather, enhance resilience and reduce economic losses. In order to accurately describe the faults and consequences of components’ failure in the distribution network, this paper establishes a pre-dispatch model to cope with typhoon weather based on line failures consequence analysis. First, Monte Carlo simulation is used to sample the typical fault scenarios of vulnerable lines. According to the location of switchgear, the distribution network is partitioned and a block breaker correlation matrix is established. Combined with the line fault status, a fault consequence model of distribution lines related to the pre-dispatching strategy is established. Then, the objective function is given to minimize the sum of the cost of the pre-dispatch operation and the power outage, and then establish a pre-dispatch model for the distribution network. In order to reduce the computational complexity, PH (Progressive Hedging) algorithm is used to solve the model. Finally, the IEEE-69 test system is used to analyze the effectiveness of the method. 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| subjects | Algorithms Automation Computer applications Correlation analysis Economic impact Economic models Electric power grids Failure Failure analysis Linear programming Monte Carlo simulation Planning Resilience Switchgear Weather |
| title | A Novel Pre-Dispatching Strategy of Power System under Extreme Weather |
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