Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy
As more and more controllable loads are connected to the power grid, air conditioning loads (ACLs) can be used as flexible loads to participate in load shaving and accommodate the fluctuation caused by renewable energies because of its characteristics of fast response, large potential adjustment pow...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2023-03-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/220704945 |
| _version_ | 1827978590487052288 |
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| author | ZHU Mengyan BAO Yuqing JI Zhenya WANG Wei |
| author_facet | ZHU Mengyan BAO Yuqing JI Zhenya WANG Wei |
| author_sort | ZHU Mengyan |
| collection | DOAJ |
| description | As more and more controllable loads are connected to the power grid, air conditioning loads (ACLs) can be used as flexible loads to participate in load shaving and accommodate the fluctuation caused by renewable energies because of its characteristics of fast response, large potential adjustment power, cold storage and heat storage. In the actual aggregated process of ACLs, the changes of external conditions such as outdoor temperature, temperature of ACLs and number of ACLs will have a certain effect on the aggregated model. However, the time-varying characteristic of the aggregate ACLs′ external model (AAEM) is not be considered in the most of existing control methods. A data-driven-based AAEM and its corresponding load tracking control strategy are proposed. Based on the cost function of individual ACLs considering thermodynamic characteristics, the data-driven-based AAEM is established by using neural network. By this way, computational complexity of calculation AAEM is reduced. The load tracking control strategy considering the data-driven-based AAEM can effectively reduce the number of times of switching and the total cost. The simulation results verify the effectiveness of this method. |
| first_indexed | 2024-04-09T21:23:15Z |
| format | Article |
| id | doaj.art-ef077b0fc78d4069bce0345f9b11f373 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-04-09T21:23:15Z |
| publishDate | 2023-03-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-ef077b0fc78d4069bce0345f9b11f3732023-03-28T03:31:10ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032023-03-01422111910.12158/j.2096-3203.2023.02.002220704945Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategyZHU Mengyan0BAO Yuqing1JI Zhenya2WANG Wei3School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, ChinaAs more and more controllable loads are connected to the power grid, air conditioning loads (ACLs) can be used as flexible loads to participate in load shaving and accommodate the fluctuation caused by renewable energies because of its characteristics of fast response, large potential adjustment power, cold storage and heat storage. In the actual aggregated process of ACLs, the changes of external conditions such as outdoor temperature, temperature of ACLs and number of ACLs will have a certain effect on the aggregated model. However, the time-varying characteristic of the aggregate ACLs′ external model (AAEM) is not be considered in the most of existing control methods. A data-driven-based AAEM and its corresponding load tracking control strategy are proposed. Based on the cost function of individual ACLs considering thermodynamic characteristics, the data-driven-based AAEM is established by using neural network. By this way, computational complexity of calculation AAEM is reduced. The load tracking control strategy considering the data-driven-based AAEM can effectively reduce the number of times of switching and the total cost. The simulation results verify the effectiveness of this method.https://www.epet-info.com/dlgcjsen/article/abstract/220704945air conditioning loads (acls)aggregate acls' external model (aaem)data-driventhermostatically controlled loadsdemand responseload control |
| spellingShingle | ZHU Mengyan BAO Yuqing JI Zhenya WANG Wei Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy 电力工程技术 air conditioning loads (acls) aggregate acls' external model (aaem) data-driven thermostatically controlled loads demand response load control |
| title | Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy |
| title_full | Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy |
| title_fullStr | Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy |
| title_full_unstemmed | Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy |
| title_short | Data-driven-based aggregate air conditioning loads' external modeling and load tracking control strategy |
| title_sort | data driven based aggregate air conditioning loads external modeling and load tracking control strategy |
| topic | air conditioning loads (acls) aggregate acls' external model (aaem) data-driven thermostatically controlled loads demand response load control |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/220704945 |
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