Hybrid transaction model for optimizing the distributed power trading market
Abstract The distributed power (DP) trading market plays a pivotal role in promoting renewable energy and driving the global economy’s low-carbon transition. However, the DP market worldwide is still in its infancy and faces problems such as immature market mechanisms and fluctuating power generatio...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024-11-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-024-04012-2 |
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| _version_ | 1846172194898444288 |
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| author | Qianwen Li Zhilong Chen Jialin Min Mengjie Xu Yanhong Zhan Wenyue Zhang Chuanwang Sun |
| author_facet | Qianwen Li Zhilong Chen Jialin Min Mengjie Xu Yanhong Zhan Wenyue Zhang Chuanwang Sun |
| author_sort | Qianwen Li |
| collection | DOAJ |
| description | Abstract The distributed power (DP) trading market plays a pivotal role in promoting renewable energy and driving the global economy’s low-carbon transition. However, the DP market worldwide is still in its infancy and faces problems such as immature market mechanisms and fluctuating power generation. To address these challenges, this paper introduces an innovative Hybrid Transaction Model (HTM) designed to optimize DP market mechanisms and refine “grid fee” structures. HTM operates through two structured transaction markets: (1) the aggregation transaction market, which manages trades between aggregators and distributed users; (2) the terminal transaction market, which facilitates exchanges between aggregators and industrial and commercial users. Additionally, HTM integrates a shared energy storage market to support expanding energy storage systems. Using China as a case study, this paper examines the barriers to DP trade market development and offers actionable policy implications for the further development of DP markets in China and comparable regions. |
| format | Article |
| id | doaj-art-b3e21824fb4f42c3a64daec3e437105a |
| institution | Kabale University |
| issn | 2662-9992 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj-art-b3e21824fb4f42c3a64daec3e437105a2024-11-10T12:13:11ZengSpringer NatureHumanities & Social Sciences Communications2662-99922024-11-0111111310.1057/s41599-024-04012-2Hybrid transaction model for optimizing the distributed power trading marketQianwen Li0Zhilong Chen1Jialin Min2Mengjie Xu3Yanhong Zhan4Wenyue Zhang5Chuanwang Sun6School of Business, Jiangnan UniversityDepartment of Statistics and Data Science, School of Economics, Xiamen UniversityChina Center for Energy Economics Research, School of Economics, Xiamen UniversityInstitute of Artificial Intelligence, Xiamen UniversitySchool of Economics and Management, Southeast UniversityCollege of Economics and Management, China University of Petroleum (East China)China Center for Energy Economics Research, School of Economics, Xiamen UniversityAbstract The distributed power (DP) trading market plays a pivotal role in promoting renewable energy and driving the global economy’s low-carbon transition. However, the DP market worldwide is still in its infancy and faces problems such as immature market mechanisms and fluctuating power generation. To address these challenges, this paper introduces an innovative Hybrid Transaction Model (HTM) designed to optimize DP market mechanisms and refine “grid fee” structures. HTM operates through two structured transaction markets: (1) the aggregation transaction market, which manages trades between aggregators and distributed users; (2) the terminal transaction market, which facilitates exchanges between aggregators and industrial and commercial users. Additionally, HTM integrates a shared energy storage market to support expanding energy storage systems. Using China as a case study, this paper examines the barriers to DP trade market development and offers actionable policy implications for the further development of DP markets in China and comparable regions.https://doi.org/10.1057/s41599-024-04012-2 |
| spellingShingle | Qianwen Li Zhilong Chen Jialin Min Mengjie Xu Yanhong Zhan Wenyue Zhang Chuanwang Sun Hybrid transaction model for optimizing the distributed power trading market Humanities & Social Sciences Communications |
| title | Hybrid transaction model for optimizing the distributed power trading market |
| title_full | Hybrid transaction model for optimizing the distributed power trading market |
| title_fullStr | Hybrid transaction model for optimizing the distributed power trading market |
| title_full_unstemmed | Hybrid transaction model for optimizing the distributed power trading market |
| title_short | Hybrid transaction model for optimizing the distributed power trading market |
| title_sort | hybrid transaction model for optimizing the distributed power trading market |
| url | https://doi.org/10.1057/s41599-024-04012-2 |
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