Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage
Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricit...
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Veröffentlicht in: | Energy (Oxford) 2024-03, Vol.291, p.130397, Article 130397 |
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creator | Liu, Zhijian Fan, Guangyao Meng, Xiangrui Hu, Yubin Wu, Di Jin, Guangya Li, Guiqiang |
description | Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricity storage, heat storage and hydrogen storage into the NZECES, and conducting multi-time scale (MTS) operation optimization research. Firstly, a NZECES with electricity-heat-hydrogen storage is constructed. Secondly, a MTS optimization operation model of day-ahead scheduling, intra-day rolling, and real-time adjustment is established. Among them, the hourly scheduling scheme targeting the lowest daily operating cost is obtained through the optimization of the day-ahead stage. In the intra-day stage, the scheduling scheme with a time interval of 15 min is obtained by the rolling optimization. The operation scheme of electrical-related equipment with the minimum adjustment cost is obtained in the real-time stage. Finally, a NZEC with different building types is used as the energy supply object. The results show that compared to the traditional day-ahead scheduling scheme, the REP is increased by 3.6 % and the operation cost of the energy system is reduced by 5.3 % by using the MTS operation optimization method.
•A near-zero energy community energy system with hybrid energy storage is constructed.•A multi-time scale operation scheme of day-ahead, intra-day, real-time is proposed.•The scheme can improve the renewable energy proportion and operation economy. |
doi_str_mv | 10.1016/j.energy.2024.130397 |
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•A near-zero energy community energy system with hybrid energy storage is constructed.•A multi-time scale operation scheme of day-ahead, intra-day, real-time is proposed.•The scheme can improve the renewable energy proportion and operation economy.</description><identifier>ISSN: 0360-5442</identifier><identifier>DOI: 10.1016/j.energy.2024.130397</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>electricity ; energy ; heat ; Hybrid energy storage ; hydrogen ; Multi-time scale ; Near-zero energy community ; operating costs ; Optimization operation ; renewable energy sources ; system optimization</subject><ispartof>Energy (Oxford), 2024-03, Vol.291, p.130397, Article 130397</ispartof><rights>2024 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-f313c582c0ea8e0d2fab81e89b5c6fa82c93f6b3bd5a37577c844ccd790ed58f3</citedby><cites>FETCH-LOGICAL-c339t-f313c582c0ea8e0d2fab81e89b5c6fa82c93f6b3bd5a37577c844ccd790ed58f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360544224001683$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Liu, Zhijian</creatorcontrib><creatorcontrib>Fan, Guangyao</creatorcontrib><creatorcontrib>Meng, Xiangrui</creatorcontrib><creatorcontrib>Hu, Yubin</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Jin, Guangya</creatorcontrib><creatorcontrib>Li, Guiqiang</creatorcontrib><title>Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage</title><title>Energy (Oxford)</title><description>Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricity storage, heat storage and hydrogen storage into the NZECES, and conducting multi-time scale (MTS) operation optimization research. Firstly, a NZECES with electricity-heat-hydrogen storage is constructed. Secondly, a MTS optimization operation model of day-ahead scheduling, intra-day rolling, and real-time adjustment is established. Among them, the hourly scheduling scheme targeting the lowest daily operating cost is obtained through the optimization of the day-ahead stage. In the intra-day stage, the scheduling scheme with a time interval of 15 min is obtained by the rolling optimization. The operation scheme of electrical-related equipment with the minimum adjustment cost is obtained in the real-time stage. Finally, a NZEC with different building types is used as the energy supply object. The results show that compared to the traditional day-ahead scheduling scheme, the REP is increased by 3.6 % and the operation cost of the energy system is reduced by 5.3 % by using the MTS operation optimization method.
•A near-zero energy community energy system with hybrid energy storage is constructed.•A multi-time scale operation scheme of day-ahead, intra-day, real-time is proposed.•The scheme can improve the renewable energy proportion and operation economy.</description><subject>electricity</subject><subject>energy</subject><subject>heat</subject><subject>Hybrid energy storage</subject><subject>hydrogen</subject><subject>Multi-time scale</subject><subject>Near-zero energy community</subject><subject>operating costs</subject><subject>Optimization operation</subject><subject>renewable energy sources</subject><subject>system optimization</subject><issn>0360-5442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQ9AEkSuEPOPjIJcGO4zwuSKjiJRVxgbPl2OvWVRIX2wGlH8B3kypw5bS7s7OzmkHoipKUElrc7FLowW_GNCNZnlJGWF2eoAVhBUl4nmdn6DyEHSGEV3W9QN8vQxttEm0HOCjZAnZ78DJa10_dBNvDPBjnscQ9SJ8cwDs8f8HKdd3Q2zj-AWEMEboj3tgeNP6ycYuhBRW9VRMv2YKMyXbU3m2gxyE6LzdwgU6NbANc_tYlen-4f1s9JevXx-fV3TpRjNUxMYwyxatMEZAVEJ0Z2VQUqrrhqjByWtTMFA1rNJes5GWpqjxXSpc1Ac0rw5boetbde_cxQIiis0FB28oe3BAEo5zRMiekmKj5TFXeheDBiL23nfSjoEQcoxY7MXsWx6jFHPV0djufwWTj04IXQVnoFWjrpxCEdvZ_gR9tspA1</recordid><startdate>20240315</startdate><enddate>20240315</enddate><creator>Liu, Zhijian</creator><creator>Fan, Guangyao</creator><creator>Meng, Xiangrui</creator><creator>Hu, Yubin</creator><creator>Wu, Di</creator><creator>Jin, Guangya</creator><creator>Li, Guiqiang</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240315</creationdate><title>Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage</title><author>Liu, Zhijian ; Fan, Guangyao ; Meng, Xiangrui ; Hu, Yubin ; Wu, Di ; Jin, Guangya ; Li, Guiqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-f313c582c0ea8e0d2fab81e89b5c6fa82c93f6b3bd5a37577c844ccd790ed58f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>electricity</topic><topic>energy</topic><topic>heat</topic><topic>Hybrid energy storage</topic><topic>hydrogen</topic><topic>Multi-time scale</topic><topic>Near-zero energy community</topic><topic>operating costs</topic><topic>Optimization operation</topic><topic>renewable energy sources</topic><topic>system optimization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhijian</creatorcontrib><creatorcontrib>Fan, Guangyao</creatorcontrib><creatorcontrib>Meng, Xiangrui</creatorcontrib><creatorcontrib>Hu, Yubin</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Jin, Guangya</creatorcontrib><creatorcontrib>Li, Guiqiang</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Zhijian</au><au>Fan, Guangyao</au><au>Meng, Xiangrui</au><au>Hu, Yubin</au><au>Wu, Di</au><au>Jin, Guangya</au><au>Li, Guiqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage</atitle><jtitle>Energy (Oxford)</jtitle><date>2024-03-15</date><risdate>2024</risdate><volume>291</volume><spage>130397</spage><pages>130397-</pages><artnum>130397</artnum><issn>0360-5442</issn><abstract>Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricity storage, heat storage and hydrogen storage into the NZECES, and conducting multi-time scale (MTS) operation optimization research. Firstly, a NZECES with electricity-heat-hydrogen storage is constructed. Secondly, a MTS optimization operation model of day-ahead scheduling, intra-day rolling, and real-time adjustment is established. Among them, the hourly scheduling scheme targeting the lowest daily operating cost is obtained through the optimization of the day-ahead stage. In the intra-day stage, the scheduling scheme with a time interval of 15 min is obtained by the rolling optimization. The operation scheme of electrical-related equipment with the minimum adjustment cost is obtained in the real-time stage. Finally, a NZEC with different building types is used as the energy supply object. The results show that compared to the traditional day-ahead scheduling scheme, the REP is increased by 3.6 % and the operation cost of the energy system is reduced by 5.3 % by using the MTS operation optimization method.
•A near-zero energy community energy system with hybrid energy storage is constructed.•A multi-time scale operation scheme of day-ahead, intra-day, real-time is proposed.•The scheme can improve the renewable energy proportion and operation economy.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2024.130397</doi></addata></record> |
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subjects | electricity energy heat Hybrid energy storage hydrogen Multi-time scale Near-zero energy community operating costs Optimization operation renewable energy sources system optimization |
title | Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage |
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