Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions
Smart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. Based on this， the paper analyzes wind-photovoltai...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2024-11-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=e830df47-8c65-4f76-b9d4-260f363e2395 |
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| _version_ | 1850159515316518912 |
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| author | ZHENG Ying HUANG Hui QI Qifeng ZHANG Youbing MAO Cui ZHU Kaixiang FENG Changsen |
| author_facet | ZHENG Ying HUANG Hui QI Qifeng ZHANG Youbing MAO Cui ZHU Kaixiang FENG Changsen |
| author_sort | ZHENG Ying |
| collection | DOAJ |
| description | Smart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. Based on this， the paper analyzes wind-photovoltaic （WPV） resources and flexible loads in smart buildings and proposes a P2P optimal scheduling strategy that incorporates joint transactions of electricity and regulation capacity. Initially， flexible load adjustments are used to provide regulation capacity， eliminating the prediction deviations of WPV outputs. Subsequently， the paper introduces a combined transaction mechanism for electricity and regulation capacity， where both electricity and regulation capacity are traded as market commodities in P2P transactions. Finally， case studies are conducted to analyze the proposed method and model. The results demonstrate that the proposed model not only effectively increases the local consumption of WPV but also encourages market participants to actively engage in P2P transactions. |
| format | Article |
| id | doaj-art-e908540482f54b05bf09b19849786c28 |
| institution | OA Journals |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-e908540482f54b05bf09b19849786c282025-08-20T02:23:31Zzhozhejiang electric powerZhejiang dianli1007-18812024-11-01431112313210.19585/j.zjdl.2024110141007-1881（2024）11-0123-10Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactionsZHENG Ying0HUANG Hui1QI Qifeng2ZHANG Youbing3MAO Cui4ZHU Kaixiang5FENG Changsen6Zhejiang Huayun Electric Power Engineering Design Consulting Co.， Ltd.， Hangzhou 310016， ChinaCollege of Information Engineering， Zhejiang University of Technology， Hangzhou 310023， ChinaZhejiang Huayun Electric Power Engineering Design Consulting Co.， Ltd.， Hangzhou 310016， ChinaCollege of Information Engineering， Zhejiang University of Technology， Hangzhou 310023， ChinaZhejiang Huayun Electric Power Engineering Design Consulting Co.， Ltd.， Hangzhou 310016， ChinaZhejiang Huayun Electric Power Engineering Design Consulting Co.， Ltd.， Hangzhou 310016， ChinaCollege of Information Engineering， Zhejiang University of Technology， Hangzhou 310023， ChinaSmart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. Based on this， the paper analyzes wind-photovoltaic （WPV） resources and flexible loads in smart buildings and proposes a P2P optimal scheduling strategy that incorporates joint transactions of electricity and regulation capacity. Initially， flexible load adjustments are used to provide regulation capacity， eliminating the prediction deviations of WPV outputs. Subsequently， the paper introduces a combined transaction mechanism for electricity and regulation capacity， where both electricity and regulation capacity are traded as market commodities in P2P transactions. Finally， case studies are conducted to analyze the proposed method and model. The results demonstrate that the proposed model not only effectively increases the local consumption of WPV but also encourages market participants to actively engage in P2P transactions.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=e830df47-8c65-4f76-b9d4-260f363e2395smart buildingp2p transactionwpv uncertaintyflexible loadjoint trading market |
| spellingShingle | ZHENG Ying HUANG Hui QI Qifeng ZHANG Youbing MAO Cui ZHU Kaixiang FENG Changsen Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions Zhejiang dianli smart building p2p transaction wpv uncertainty flexible load joint trading market |
| title | Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions |
| title_full | Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions |
| title_fullStr | Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions |
| title_full_unstemmed | Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions |
| title_short | Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions |
| title_sort | optimal scheduling of electrical energy in smart buildings based on peer to peer transactions |
| topic | smart building p2p transaction wpv uncertainty flexible load joint trading market |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=e830df47-8c65-4f76-b9d4-260f363e2395 |
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