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An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty
•DER flexibility accurately modelled with intra and intertemporal constraints.•Network reinforcement method that uses flexibility over assets upgrade.•Risk minimization method to deal with the uncertainty of future scenarios. The increasing integration of Distributed Energy Resources (DER) in electr...
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Published in: | Electric power systems research 2020-06, Vol.183 (C), p.106272, Article 106272 |
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container_title | Electric power systems research |
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creator | Tavares, Bruna Soares, Filipe Joel |
description | •DER flexibility accurately modelled with intra and intertemporal constraints.•Network reinforcement method that uses flexibility over assets upgrade.•Risk minimization method to deal with the uncertainty of future scenarios.
The increasing integration of Distributed Energy Resources (DER) in electricity networks has required an improvement in the network management procedures. While the operation paradigm is evolving and adapting to the new network features, the planning approach is rather inefficient as network assets are usually oversized to meet the worst-case scenario. In this regard, this paper presents an innovative methodology that integrates the potential flexibility of DER into the planning process, in an attempt to bridge the gap between current network operation approaches and the planning methods. It includes an analysis of future scenarios, providing different reinforcement plans considering the realistic network operation for those scenarios. The proposed optimal design of the reinforcement plans has two complementary processes: First to optimize flexible resources in their owner's perspective and second to reschedule the flexible resources’ operation when the DSO needs to solve technical problems. The model has been tested in a typical Portuguese medium voltage network using future scenarios of DER integration from ENTSO-E. The results conclude that the proposed methodology leads to cost-effective solutions, which provide a better use of flexible resources, deferring high capital investments in network reinforcement. |
doi_str_mv | 10.1016/j.epsr.2020.106272 |
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The increasing integration of Distributed Energy Resources (DER) in electricity networks has required an improvement in the network management procedures. While the operation paradigm is evolving and adapting to the new network features, the planning approach is rather inefficient as network assets are usually oversized to meet the worst-case scenario. In this regard, this paper presents an innovative methodology that integrates the potential flexibility of DER into the planning process, in an attempt to bridge the gap between current network operation approaches and the planning methods. It includes an analysis of future scenarios, providing different reinforcement plans considering the realistic network operation for those scenarios. The proposed optimal design of the reinforcement plans has two complementary processes: First to optimize flexible resources in their owner's perspective and second to reschedule the flexible resources’ operation when the DSO needs to solve technical problems. The model has been tested in a typical Portuguese medium voltage network using future scenarios of DER integration from ENTSO-E. The results conclude that the proposed methodology leads to cost-effective solutions, which provide a better use of flexible resources, deferring high capital investments in network reinforcement.</description><identifier>ISSN: 0378-7796</identifier><identifier>EISSN: 1873-2046</identifier><identifier>DOI: 10.1016/j.epsr.2020.106272</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Bridges ; Demand side response ; Distributed generation ; Distribution network reinforcement planning ; Electricity distribution ; Electricity generation ; Energy conservation ; Energy sources ; Flexibility ; Flexible loads ; Future DER integration scenarios ; Investment ; Network flexibility ; Optimization ; Reinforcement ; Studies ; Uncertainty</subject><ispartof>Electric power systems research, 2020-06, Vol.183 (C), p.106272, Article 106272</ispartof><rights>2020</rights><rights>Copyright Elsevier Science Ltd. Jun 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-c76de1003e3cf4a319bd248dacc38900015f787a3b53d3136f7a561470c619273</citedby><cites>FETCH-LOGICAL-c399t-c76de1003e3cf4a319bd248dacc38900015f787a3b53d3136f7a561470c619273</cites><orcidid>0000-0002-0884-0181 ; 0000000208840181</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,27957,27958</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1703663$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Tavares, Bruna</creatorcontrib><creatorcontrib>Soares, Filipe Joel</creatorcontrib><title>An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty</title><title>Electric power systems research</title><description>•DER flexibility accurately modelled with intra and intertemporal constraints.•Network reinforcement method that uses flexibility over assets upgrade.•Risk minimization method to deal with the uncertainty of future scenarios.
The increasing integration of Distributed Energy Resources (DER) in electricity networks has required an improvement in the network management procedures. While the operation paradigm is evolving and adapting to the new network features, the planning approach is rather inefficient as network assets are usually oversized to meet the worst-case scenario. In this regard, this paper presents an innovative methodology that integrates the potential flexibility of DER into the planning process, in an attempt to bridge the gap between current network operation approaches and the planning methods. It includes an analysis of future scenarios, providing different reinforcement plans considering the realistic network operation for those scenarios. The proposed optimal design of the reinforcement plans has two complementary processes: First to optimize flexible resources in their owner's perspective and second to reschedule the flexible resources’ operation when the DSO needs to solve technical problems. The model has been tested in a typical Portuguese medium voltage network using future scenarios of DER integration from ENTSO-E. The results conclude that the proposed methodology leads to cost-effective solutions, which provide a better use of flexible resources, deferring high capital investments in network reinforcement.</description><subject>Bridges</subject><subject>Demand side response</subject><subject>Distributed generation</subject><subject>Distribution network reinforcement planning</subject><subject>Electricity distribution</subject><subject>Electricity generation</subject><subject>Energy conservation</subject><subject>Energy sources</subject><subject>Flexibility</subject><subject>Flexible loads</subject><subject>Future DER integration scenarios</subject><subject>Investment</subject><subject>Network flexibility</subject><subject>Optimization</subject><subject>Reinforcement</subject><subject>Studies</subject><subject>Uncertainty</subject><issn>0378-7796</issn><issn>1873-2046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UU1PGzEQtSqQGqB_oCerPW_wx8berXpBkJZKSEgIzpbjnS2TJvZiO6HhB_C76-1y5jIjzbw382YeIZ85m3PG1fl6DkOKc8HEWFBCiw9kxhstK8FqdURmTOqm0rpVH8lJSmvGmGr1YkZeLzxF78PeZtwDtcMQg3WPtA-RdphyxNUuY_DUQ34O8Q-NgL40HWzBZzpsrPfof3-jD6kkerW8o_0G_uIKN5gPNAe6RY9bfIGyZg8p_6ftfAexRAcxW_T5cEaOe7tJ8Oktn5KHH8v7y-vq5vbnr8uLm8rJts2V06oDzpgE6fraSt6uOlE3nXVONm05ii963WgrVwvZSS5Vr-1C8Vozp3grtDwlX6a5IWU0yWEG9-iC9-Cy4ZpJpWQBfZ1A5RdPu6LZrMMu-qLLiLpWWtRK1AUlJpSLIaUIvRkibm08GM7MaIpZm9EUM5piJlMK6ftEgnLkHiGOGqD8ocM4SugCvkf_Bzmql64</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Tavares, Bruna</creator><creator>Soares, Filipe Joel</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-0884-0181</orcidid><orcidid>https://orcid.org/0000000208840181</orcidid></search><sort><creationdate>202006</creationdate><title>An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty</title><author>Tavares, Bruna ; Soares, Filipe Joel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-c76de1003e3cf4a319bd248dacc38900015f787a3b53d3136f7a561470c619273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bridges</topic><topic>Demand side response</topic><topic>Distributed generation</topic><topic>Distribution network reinforcement planning</topic><topic>Electricity distribution</topic><topic>Electricity generation</topic><topic>Energy conservation</topic><topic>Energy sources</topic><topic>Flexibility</topic><topic>Flexible loads</topic><topic>Future DER integration scenarios</topic><topic>Investment</topic><topic>Network flexibility</topic><topic>Optimization</topic><topic>Reinforcement</topic><topic>Studies</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tavares, Bruna</creatorcontrib><creatorcontrib>Soares, Filipe Joel</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV</collection><jtitle>Electric power systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tavares, Bruna</au><au>Soares, Filipe Joel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty</atitle><jtitle>Electric power systems research</jtitle><date>2020-06</date><risdate>2020</risdate><volume>183</volume><issue>C</issue><spage>106272</spage><pages>106272-</pages><artnum>106272</artnum><issn>0378-7796</issn><eissn>1873-2046</eissn><notes>USDOE Office of Nuclear Energy (NE), Nuclear Fuel Cycle and Supply Chain</notes><notes>PD/BD/142809/2018</notes><abstract>•DER flexibility accurately modelled with intra and intertemporal constraints.•Network reinforcement method that uses flexibility over assets upgrade.•Risk minimization method to deal with the uncertainty of future scenarios.
The increasing integration of Distributed Energy Resources (DER) in electricity networks has required an improvement in the network management procedures. While the operation paradigm is evolving and adapting to the new network features, the planning approach is rather inefficient as network assets are usually oversized to meet the worst-case scenario. In this regard, this paper presents an innovative methodology that integrates the potential flexibility of DER into the planning process, in an attempt to bridge the gap between current network operation approaches and the planning methods. It includes an analysis of future scenarios, providing different reinforcement plans considering the realistic network operation for those scenarios. The proposed optimal design of the reinforcement plans has two complementary processes: First to optimize flexible resources in their owner's perspective and second to reschedule the flexible resources’ operation when the DSO needs to solve technical problems. The model has been tested in a typical Portuguese medium voltage network using future scenarios of DER integration from ENTSO-E. The results conclude that the proposed methodology leads to cost-effective solutions, which provide a better use of flexible resources, deferring high capital investments in network reinforcement.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.epsr.2020.106272</doi><orcidid>https://orcid.org/0000-0002-0884-0181</orcidid><orcidid>https://orcid.org/0000000208840181</orcidid><oa>free_for_read</oa></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Bridges Demand side response Distributed generation Distribution network reinforcement planning Electricity distribution Electricity generation Energy conservation Energy sources Flexibility Flexible loads Future DER integration scenarios Investment Network flexibility Optimization Reinforcement Studies Uncertainty |
title | An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty |
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