Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory
A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method...
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| Veröffentlicht in: | Mobile information systems 2020, Vol.2020 (2020), p.1-10 |
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| creator | Yu, Yuan Zhao, Yan Zhang, Tieyan |
| description | A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES. |
| doi_str_mv | 10.1155/2020/8884525 |
| format | Article |
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In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.</description><identifier>ISSN: 1574-017X</identifier><identifier>EISSN: 1875-905X</identifier><identifier>DOI: 10.1155/2020/8884525</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Alternative energy sources ; Consistency ; Coordination ; Cost control ; Efficiency ; Electricity ; Electricity distribution ; Energy resources ; Energy utilization ; Integrated energy systems ; Optimization ; Renewable resources ; Wind power</subject><ispartof>Mobile information systems, 2020, Vol.2020 (2020), p.1-10</ispartof><rights>Copyright © 2020 Yuan Yu et al.</rights><rights>Copyright © 2020 Yuan Yu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.</description><subject>Algorithms</subject><subject>Alternative energy sources</subject><subject>Consistency</subject><subject>Coordination</subject><subject>Cost control</subject><subject>Efficiency</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Energy resources</subject><subject>Energy utilization</subject><subject>Integrated energy systems</subject><subject>Optimization</subject><subject>Renewable resources</subject><subject>Wind power</subject><issn>1574-017X</issn><issn>1875-905X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNqF0M9LwzAUB_AiCs7pzbMUPGpdmh9NetQxdTDZYRN2K2n6unVsyUwypP71plbw6Ckvjw_vPb5RdJ2ihzRlbIQRRiMhBGWYnUSDVHCW5IitTkPNOE1Qylfn0YVzW4QyRBgfRPX84Jt98yV9Y3S88FZ6WLexqeO348430oKMp9qDVUZrUB6qn--6c1U80WCDXrTOwz5-ki70wpix0a4JLa3aeLkBY9vL6KyWOwdXv-8wen-eLMevyWz-Mh0_zhJFceYTrIjIFSlVBoqSuoIqYzInHAmmSgWlhJJyQhhUmJMSC1HymlY5pWktBUhBhtFtP_dgzccRnC-25mh1WFlgmnGGMoE6dd8rZY1zFuriYJu9tG2RoqJLsuiSLH6TDPyu55tGV_Kz-U_f9BqCgVr-6TTHLFz_DdC-fxc</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Yu, Yuan</creator><creator>Zhao, Yan</creator><creator>Zhang, Tieyan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-6941-9473</orcidid></search><sort><creationdate>2020</creationdate><title>Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory</title><author>Yu, Yuan ; Zhao, Yan ; Zhang, Tieyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-2c389c3bc6ec43fded65a937085cbcebaeb47335ed273b288b7f4d9441fa8ea83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Alternative energy sources</topic><topic>Consistency</topic><topic>Coordination</topic><topic>Cost control</topic><topic>Efficiency</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Energy resources</topic><topic>Energy utilization</topic><topic>Integrated energy systems</topic><topic>Optimization</topic><topic>Renewable resources</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Yuan</creatorcontrib><creatorcontrib>Zhao, Yan</creatorcontrib><creatorcontrib>Zhang, Tieyan</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Mobile information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Yuan</au><au>Zhao, Yan</au><au>Zhang, Tieyan</au><au>Yang, Xiaoxian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory</atitle><jtitle>Mobile information systems</jtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1574-017X</issn><eissn>1875-905X</eissn><abstract>A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2020/8884525</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6941-9473</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Algorithms Alternative energy sources Consistency Coordination Cost control Efficiency Electricity Electricity distribution Energy resources Energy utilization Integrated energy systems Optimization Renewable resources Wind power |
| title | Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory |
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