The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources
The widespread integration of renewable energy into the grid emphasizes the issues of power system uncertainty and insufficient flexibility. Heterogeneous flexible distributed resources can address the above challenges by interacting with distribution networks. This paper proposes a multi-timescale...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10916768/ |
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| author | Xinyi Yang Tao Chen Yuanshi Zhang Ciwei Gao Xingyu Yan Hongxun Hui Xiaomeng Ai |
| author_facet | Xinyi Yang Tao Chen Yuanshi Zhang Ciwei Gao Xingyu Yan Hongxun Hui Xiaomeng Ai |
| author_sort | Xinyi Yang |
| collection | DOAJ |
| description | The widespread integration of renewable energy into the grid emphasizes the issues of power system uncertainty and insufficient flexibility. Heterogeneous flexible distributed resources can address the above challenges by interacting with distribution networks. This paper proposes a multi-timescale optimal operation strategy for an energy community that aggregates multiple distributed resources. Based on flexibility indicators including the degree of load variation and task laxity, a tri-level structure involving distribution system operators (DSOs), aggregators, and the home energy management system (HEMS) is developed. The aggregator serves as mediator between customers and DSOs, gathering the end user’s flexibility through the rescheduling of household appliances to leverage both upward and downward energy adjustments. According to different scenarios and application requirements, a multi-time-scale rolling optimal dispatch model is proposed. The day-ahead dispatch is combined with the Model Predictive Control (MPC) method to achieve fine-grained rolling adjustment of the power dispatch instructions of distributed resources with different time scales. Finally, a simulation experiment example is constructed to verify the effectiveness of the proposed method. The simulation results demonstrate that the economic benefits of end users and aggregators are improved with more grid-friendly load curves. |
| format | Article |
| id | doaj-art-0b60257f914f45d2b382a7e4b44826ff |
| institution | OA Journals |
| issn | 2687-7910 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-0b60257f914f45d2b382a7e4b44826ff2025-08-20T02:10:03ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102025-01-011215717010.1109/OAJPE.2025.354911310916768The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible ResourcesXinyi Yang0https://orcid.org/0009-0006-2578-1386Tao Chen1https://orcid.org/0000-0003-2616-6247Yuanshi Zhang2https://orcid.org/0000-0001-5590-4259Ciwei Gao3https://orcid.org/0000-0002-6982-7984Xingyu Yan4https://orcid.org/0000-0002-2062-385XHongxun Hui5https://orcid.org/0000-0002-2299-7580Xiaomeng Ai6https://orcid.org/0000-0003-0395-5905School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaDepartment of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, ChinaSchool of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaThe widespread integration of renewable energy into the grid emphasizes the issues of power system uncertainty and insufficient flexibility. Heterogeneous flexible distributed resources can address the above challenges by interacting with distribution networks. This paper proposes a multi-timescale optimal operation strategy for an energy community that aggregates multiple distributed resources. Based on flexibility indicators including the degree of load variation and task laxity, a tri-level structure involving distribution system operators (DSOs), aggregators, and the home energy management system (HEMS) is developed. The aggregator serves as mediator between customers and DSOs, gathering the end user’s flexibility through the rescheduling of household appliances to leverage both upward and downward energy adjustments. According to different scenarios and application requirements, a multi-time-scale rolling optimal dispatch model is proposed. The day-ahead dispatch is combined with the Model Predictive Control (MPC) method to achieve fine-grained rolling adjustment of the power dispatch instructions of distributed resources with different time scales. Finally, a simulation experiment example is constructed to verify the effectiveness of the proposed method. The simulation results demonstrate that the economic benefits of end users and aggregators are improved with more grid-friendly load curves.https://ieeexplore.ieee.org/document/10916768/Energy communityresource aggregatorflexible distributed resourcesmulti-level optimizationmodel predictive control |
| spellingShingle | Xinyi Yang Tao Chen Yuanshi Zhang Ciwei Gao Xingyu Yan Hongxun Hui Xiaomeng Ai The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources IEEE Open Access Journal of Power and Energy Energy community resource aggregator flexible distributed resources multi-level optimization model predictive control |
| title | The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources |
| title_full | The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources |
| title_fullStr | The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources |
| title_full_unstemmed | The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources |
| title_short | The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources |
| title_sort | optimal operation strategy of an energy community aggregator for heterogeneous distributed flexible resources |
| topic | Energy community resource aggregator flexible distributed resources multi-level optimization model predictive control |
| url | https://ieeexplore.ieee.org/document/10916768/ |
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