Dynamic Reconfiguration of Distribution Networks Considering Hosting Capacity: A Risk-Based Approach
This paper proposes a risk-based approach for multi-period reconfiguration that considers hosting capacity in distribution networks in the presence of load and generation uncertainty. The proposed approach employs interval RDM (Relative Distance Measure) arithmetic to describe the uncertainty of loa...
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| Veröffentlicht in: | IEEE transactions on power systems 2023-07, Vol.38 (4), p.3440-3450 |
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| creator | Popovic, Zeljko N. Knezevic, Stanko D. |
| description | This paper proposes a risk-based approach for multi-period reconfiguration that considers hosting capacity in distribution networks in the presence of load and generation uncertainty. The proposed approach employs interval RDM (Relative Distance Measure) arithmetic to describe the uncertainty of loads and generation from renewable generators (DGs), considering the correlation between loads and between loads and DGs. An interval RDM arithmetic-based multi-objective mixed-integer linear programming model is then employed to obtain a set of noninferior solutions (reconfiguration plans) in each period. It considers hosting capacity along with the cost of losses, cost of interruptions, and switching cost. The obtained plans are used within the proposed interval-valued dynamic programming framework to identify and evaluate a set of multi-period reconfiguration plans. The multi-period plan that minimizes the risk of significant financial losses is selected by employing the Hurwicz criterion for measuring risk. |
| doi_str_mv | 10.1109/TPWRS.2022.3206049 |
| format | Article |
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The proposed approach employs interval RDM (Relative Distance Measure) arithmetic to describe the uncertainty of loads and generation from renewable generators (DGs), considering the correlation between loads and between loads and DGs. An interval RDM arithmetic-based multi-objective mixed-integer linear programming model is then employed to obtain a set of noninferior solutions (reconfiguration plans) in each period. It considers hosting capacity along with the cost of losses, cost of interruptions, and switching cost. The obtained plans are used within the proposed interval-valued dynamic programming framework to identify and evaluate a set of multi-period reconfiguration plans. The multi-period plan that minimizes the risk of significant financial losses is selected by employing the Hurwicz criterion for measuring risk.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2022.3206049</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Arithmetic ; Costs ; Dynamic programming ; Hosting capacity ; Integer programming ; interval arithmetic ; Linear programming ; Mixed integer ; multi-period ; Reactive power ; Reconfiguration ; Renewable energy sources ; Risk ; risk analysis ; Switches ; Transformers ; Uncertainty ; Voltage</subject><ispartof>IEEE transactions on power systems, 2023-07, Vol.38 (4), p.3440-3450</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The proposed approach employs interval RDM (Relative Distance Measure) arithmetic to describe the uncertainty of loads and generation from renewable generators (DGs), considering the correlation between loads and between loads and DGs. An interval RDM arithmetic-based multi-objective mixed-integer linear programming model is then employed to obtain a set of noninferior solutions (reconfiguration plans) in each period. It considers hosting capacity along with the cost of losses, cost of interruptions, and switching cost. The obtained plans are used within the proposed interval-valued dynamic programming framework to identify and evaluate a set of multi-period reconfiguration plans. The multi-period plan that minimizes the risk of significant financial losses is selected by employing the Hurwicz criterion for measuring risk.</description><subject>Arithmetic</subject><subject>Costs</subject><subject>Dynamic programming</subject><subject>Hosting capacity</subject><subject>Integer programming</subject><subject>interval arithmetic</subject><subject>Linear programming</subject><subject>Mixed integer</subject><subject>multi-period</subject><subject>Reactive power</subject><subject>Reconfiguration</subject><subject>Renewable energy sources</subject><subject>Risk</subject><subject>risk analysis</subject><subject>Switches</subject><subject>Transformers</subject><subject>Uncertainty</subject><subject>Voltage</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAYhYMoOKd_QG8KXne-zUebeDc3dcJQmRMvQ5akM5s2NWmR_Xu7D7w6HN5z3gMPQpcZDLIMxM389WP2NsCA8YBgyIGKI9TLGOMp5IU4Rj3gnKVcMDhFZzGuACDvDj1kxptKfTudzKz2VemWbVCN81Xiy2TsYhPcot35Z9v8-rCOychX0RkbXLVMJj42Wx2pWmnXbG6TYTJzcZ3eqWhNMqzr4JX-PEcnpfqK9uKgffT-cD8fTdLpy-PTaDhNNRasSRcMU5Epw3OsCqIxkFLo3BalUCU1lFJWGsNyggnPTWGFENTiguWLoiCEakL66Hr_t5v9aW1s5Mq3oeomJeaYA1AiWJfC-5QOPsZgS1kH963CRmYgtzTljqbc0pQHml3pal9y1tr_guCcQwbkD0f5cSw</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Popovic, Zeljko N.</creator><creator>Knezevic, Stanko D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-5431-4230</orcidid><orcidid>https://orcid.org/0000-0003-1095-6172</orcidid></search><sort><creationdate>20230701</creationdate><title>Dynamic Reconfiguration of Distribution Networks Considering Hosting Capacity: A Risk-Based Approach</title><author>Popovic, Zeljko N. ; Knezevic, Stanko D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-b52491ad862a73c203f9c6e7f9af4d4445fdd5632386d7e9994e2756b77334c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Arithmetic</topic><topic>Costs</topic><topic>Dynamic programming</topic><topic>Hosting capacity</topic><topic>Integer programming</topic><topic>interval arithmetic</topic><topic>Linear programming</topic><topic>Mixed integer</topic><topic>multi-period</topic><topic>Reactive power</topic><topic>Reconfiguration</topic><topic>Renewable energy sources</topic><topic>Risk</topic><topic>risk analysis</topic><topic>Switches</topic><topic>Transformers</topic><topic>Uncertainty</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Popovic, Zeljko N.</creatorcontrib><creatorcontrib>Knezevic, Stanko D.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEL</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Popovic, Zeljko N.</au><au>Knezevic, Stanko D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Reconfiguration of Distribution Networks Considering Hosting Capacity: A Risk-Based Approach</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>38</volume><issue>4</issue><spage>3440</spage><epage>3450</epage><pages>3440-3450</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>This paper proposes a risk-based approach for multi-period reconfiguration that considers hosting capacity in distribution networks in the presence of load and generation uncertainty. The proposed approach employs interval RDM (Relative Distance Measure) arithmetic to describe the uncertainty of loads and generation from renewable generators (DGs), considering the correlation between loads and between loads and DGs. An interval RDM arithmetic-based multi-objective mixed-integer linear programming model is then employed to obtain a set of noninferior solutions (reconfiguration plans) in each period. It considers hosting capacity along with the cost of losses, cost of interruptions, and switching cost. The obtained plans are used within the proposed interval-valued dynamic programming framework to identify and evaluate a set of multi-period reconfiguration plans. The multi-period plan that minimizes the risk of significant financial losses is selected by employing the Hurwicz criterion for measuring risk.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2022.3206049</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-5431-4230</orcidid><orcidid>https://orcid.org/0000-0003-1095-6172</orcidid></addata></record> |
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| source | IEL |
| subjects | Arithmetic Costs Dynamic programming Hosting capacity Integer programming interval arithmetic Linear programming Mixed integer multi-period Reactive power Reconfiguration Renewable energy sources Risk risk analysis Switches Transformers Uncertainty Voltage |
| title | Dynamic Reconfiguration of Distribution Networks Considering Hosting Capacity: A Risk-Based Approach |
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