Collaborative hierarchical scheduling model of interconnected multi-microgrid and ADN considering DR with different strategies
The demand response (DR) resources of multiple entities have different operation strategies, which makes it difficult to realize the co-optimization. This paper proposes a cooperative hierarchical scheduling optimization model of interconnected multi-microgrid and an active distribution network (ADN...
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Veröffentlicht in: | AIP advances 2024-04, Vol.14 (4), p.045115-045115-12 |
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creator | Shen, Yuming Xu, Jiayin Wang, Xuli Guo, Wenzhang Zhou, Yuanke Feng, Peiru Zhang, Mengyuan Xu, Haoran |
description | The demand response (DR) resources of multiple entities have different operation strategies, which makes it difficult to realize the co-optimization. This paper proposes a cooperative hierarchical scheduling optimization model of interconnected multi-microgrid and an active distribution network (ADN) considering DR with different operation strategies. First, the collaborative hierarchical scheduling framework is proposed and the interaction characteristics and cooperative scheduling mode of multi-interconnected microgrid and ADN are analyzed. Second, the two-layer cooperative hierarchical scheduling model is established, considering DR with different strategies. The upper layer model takes the minimum operating cost of the ADN as the objective to optimize the trading tariff between the ADN and microgrids, and its own DR, while the lower layer model takes the operating cost of multi-microgrid as the objective to optimize the purchasing and selling of electrical energy for the ADN, the DR, and the interaction power. Finally, the case studies with three microgrids and an ADN are used to demonstrate the validity and effectiveness of the proposed model. |
doi_str_mv | 10.1063/5.0185173 |
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This paper proposes a cooperative hierarchical scheduling optimization model of interconnected multi-microgrid and an active distribution network (ADN) considering DR with different operation strategies. First, the collaborative hierarchical scheduling framework is proposed and the interaction characteristics and cooperative scheduling mode of multi-interconnected microgrid and ADN are analyzed. Second, the two-layer cooperative hierarchical scheduling model is established, considering DR with different strategies. The upper layer model takes the minimum operating cost of the ADN as the objective to optimize the trading tariff between the ADN and microgrids, and its own DR, while the lower layer model takes the operating cost of multi-microgrid as the objective to optimize the purchasing and selling of electrical energy for the ADN, the DR, and the interaction power. 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All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c353t-89e2b1c909e4e269be26e2b06dabdacb34b57043375771d08a4972b216ac0fe43</cites><orcidid>0009-0008-1667-4655</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2102,27924,27925</link.rule.ids></links><search><creatorcontrib>Shen, Yuming</creatorcontrib><creatorcontrib>Xu, Jiayin</creatorcontrib><creatorcontrib>Wang, Xuli</creatorcontrib><creatorcontrib>Guo, Wenzhang</creatorcontrib><creatorcontrib>Zhou, Yuanke</creatorcontrib><creatorcontrib>Feng, Peiru</creatorcontrib><creatorcontrib>Zhang, Mengyuan</creatorcontrib><creatorcontrib>Xu, Haoran</creatorcontrib><title>Collaborative hierarchical scheduling model of interconnected multi-microgrid and ADN considering DR with different strategies</title><title>AIP advances</title><description>The demand response (DR) resources of multiple entities have different operation strategies, which makes it difficult to realize the co-optimization. This paper proposes a cooperative hierarchical scheduling optimization model of interconnected multi-microgrid and an active distribution network (ADN) considering DR with different operation strategies. First, the collaborative hierarchical scheduling framework is proposed and the interaction characteristics and cooperative scheduling mode of multi-interconnected microgrid and ADN are analyzed. Second, the two-layer cooperative hierarchical scheduling model is established, considering DR with different strategies. The upper layer model takes the minimum operating cost of the ADN as the objective to optimize the trading tariff between the ADN and microgrids, and its own DR, while the lower layer model takes the operating cost of multi-microgrid as the objective to optimize the purchasing and selling of electrical energy for the ADN, the DR, and the interaction power. Finally, the case studies with three microgrids and an ADN are used to demonstrate the validity and effectiveness of the proposed model.</description><subject>Collaboration</subject><subject>Distributed generation</subject><subject>Operating costs</subject><subject>Optimization models</subject><subject>Scheduling</subject><issn>2158-3226</issn><issn>2158-3226</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kUtLAzEUhQdRsGgX_oOAK4XRZJJMZpalvgpFQXQd8rjTpkwnNUkVN_52oxVx5V3kXi5fzgk5RXFC8AXBNb3kF5g0nAi6V4wqwpuSVlW9_2c-LMYxrnAu1hLcsFHxMfV9r7QPKrlXQEsHQQWzdEb1KJol2G3vhgVaews98h1yQ4Jg_DCASWDRetsnV66dCX4RnEVqsGhydY8yEZ2F8HX36hG9ubRE1nUdBBgSiinbwcJBPC4OOtVHGP_0o-L55vppelfOH25n08m8NJTTVDYtVJqYFrfAoKpbnY-8wbVV2iqjKdNcYEap4EIQixvFWlHpitTK4A4YPSpmO13r1Upuglur8C69cvJ74cNCqpCc6UFaU4u2aRhVHWdAlAYuwHaGacytFjxrne60NsG_bCEmufLbMOTnS4opayohKMnU2Y7KXxNjgO7XlWD5lZbk8ietzJ7v2GhcykH44R_4E4kRlcI</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Shen, Yuming</creator><creator>Xu, Jiayin</creator><creator>Wang, Xuli</creator><creator>Guo, Wenzhang</creator><creator>Zhou, Yuanke</creator><creator>Feng, Peiru</creator><creator>Zhang, Mengyuan</creator><creator>Xu, Haoran</creator><general>American Institute of Physics</general><general>AIP Publishing LLC</general><scope>AJDQP</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0008-1667-4655</orcidid></search><sort><creationdate>20240401</creationdate><title>Collaborative hierarchical scheduling model of interconnected multi-microgrid and ADN considering DR with different strategies</title><author>Shen, Yuming ; Xu, Jiayin ; Wang, Xuli ; Guo, Wenzhang ; Zhou, Yuanke ; Feng, Peiru ; Zhang, Mengyuan ; Xu, Haoran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-89e2b1c909e4e269be26e2b06dabdacb34b57043375771d08a4972b216ac0fe43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Collaboration</topic><topic>Distributed generation</topic><topic>Operating costs</topic><topic>Optimization models</topic><topic>Scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Yuming</creatorcontrib><creatorcontrib>Xu, Jiayin</creatorcontrib><creatorcontrib>Wang, Xuli</creatorcontrib><creatorcontrib>Guo, Wenzhang</creatorcontrib><creatorcontrib>Zhou, Yuanke</creatorcontrib><creatorcontrib>Feng, Peiru</creatorcontrib><creatorcontrib>Zhang, Mengyuan</creatorcontrib><creatorcontrib>Xu, Haoran</creatorcontrib><collection>AIP Open Access Journals</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>AIP advances</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Yuming</au><au>Xu, Jiayin</au><au>Wang, Xuli</au><au>Guo, Wenzhang</au><au>Zhou, Yuanke</au><au>Feng, Peiru</au><au>Zhang, Mengyuan</au><au>Xu, Haoran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Collaborative hierarchical scheduling model of interconnected multi-microgrid and ADN considering DR with different strategies</atitle><jtitle>AIP advances</jtitle><date>2024-04-01</date><risdate>2024</risdate><volume>14</volume><issue>4</issue><spage>045115</spage><epage>045115-12</epage><pages>045115-045115-12</pages><issn>2158-3226</issn><eissn>2158-3226</eissn><coden>AAIDBI</coden><abstract>The demand response (DR) resources of multiple entities have different operation strategies, which makes it difficult to realize the co-optimization. This paper proposes a cooperative hierarchical scheduling optimization model of interconnected multi-microgrid and an active distribution network (ADN) considering DR with different operation strategies. First, the collaborative hierarchical scheduling framework is proposed and the interaction characteristics and cooperative scheduling mode of multi-interconnected microgrid and ADN are analyzed. Second, the two-layer cooperative hierarchical scheduling model is established, considering DR with different strategies. The upper layer model takes the minimum operating cost of the ADN as the objective to optimize the trading tariff between the ADN and microgrids, and its own DR, while the lower layer model takes the operating cost of multi-microgrid as the objective to optimize the purchasing and selling of electrical energy for the ADN, the DR, and the interaction power. Finally, the case studies with three microgrids and an ADN are used to demonstrate the validity and effectiveness of the proposed model.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0185173</doi><tpages>12</tpages><orcidid>https://orcid.org/0009-0008-1667-4655</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Collaboration Distributed generation Operating costs Optimization models Scheduling |
title | Collaborative hierarchical scheduling model of interconnected multi-microgrid and ADN considering DR with different strategies |
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