Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response
In recent years, the accelerated penetration of renewable energy hinders the flexible adjustment of power systems. Customer directrix load (CDL)-based demand response (DR) unlocks the potential flexibilities of inverter air conditioning in industrial or commercial parks and promotes the integration...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723005358 |
| _version_ | 1797691997690003456 |
|---|---|
| author | Lingling Zhu Juhua Hong Siyu Yang Zhenda Hu Yunfei Shao Chengxin Wu Guangyu He |
| author_facet | Lingling Zhu Juhua Hong Siyu Yang Zhenda Hu Yunfei Shao Chengxin Wu Guangyu He |
| author_sort | Lingling Zhu |
| collection | DOAJ |
| description | In recent years, the accelerated penetration of renewable energy hinders the flexible adjustment of power systems. Customer directrix load (CDL)-based demand response (DR) unlocks the potential flexibilities of inverter air conditioning in industrial or commercial parks and promotes the integration of renewable energy. Although there have been extended researches regarding the inverter air conditioning, most of the them belongs to the offline method, which does not consider the time-varying nature of the air conditioning model parameters. Therefore, this paper proposes the CDL-based DR scheme for the cluster of inverter air conditionings through the online virtual energy storage modeling. First, we propose the online virtual energy storage modeling method leveraging the outputs of online identification of the second-order equivalent thermal parameters (ETP) model. Then, the virtual energy storage characteristics of inverter air conditioners were analyzed by the time decoupling charge and discharge control method. Furthermore, we propose an intraday rolling DR optimization model for the cluster of inverter air conditionings, which overcomes the adversarial factors caused by temporal variability of ETP parameters. We utilize variable frequency air conditioning cluster to participate in the park DR based on customer directrix load (CDL). The case study corroborates the effectiveness of the proposed online virtual energy storage modeling. |
| first_indexed | 2024-03-12T02:21:15Z |
| format | Article |
| id | doaj.art-7ca1e1adc43f43c280991515346694e5 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T02:21:15Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-7ca1e1adc43f43c280991515346694e52023-09-06T04:52:01ZengElsevierEnergy Reports2352-48472023-09-01920242034Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand responseLingling Zhu0Juhua Hong1Siyu Yang2Zhenda Hu3Yunfei Shao4Chengxin Wu5Guangyu He6Institute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China; Corresponding author.Institute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaInstitute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaInstitute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, ChinaKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaIn recent years, the accelerated penetration of renewable energy hinders the flexible adjustment of power systems. Customer directrix load (CDL)-based demand response (DR) unlocks the potential flexibilities of inverter air conditioning in industrial or commercial parks and promotes the integration of renewable energy. Although there have been extended researches regarding the inverter air conditioning, most of the them belongs to the offline method, which does not consider the time-varying nature of the air conditioning model parameters. Therefore, this paper proposes the CDL-based DR scheme for the cluster of inverter air conditionings through the online virtual energy storage modeling. First, we propose the online virtual energy storage modeling method leveraging the outputs of online identification of the second-order equivalent thermal parameters (ETP) model. Then, the virtual energy storage characteristics of inverter air conditioners were analyzed by the time decoupling charge and discharge control method. Furthermore, we propose an intraday rolling DR optimization model for the cluster of inverter air conditionings, which overcomes the adversarial factors caused by temporal variability of ETP parameters. We utilize variable frequency air conditioning cluster to participate in the park DR based on customer directrix load (CDL). The case study corroborates the effectiveness of the proposed online virtual energy storage modeling.http://www.sciencedirect.com/science/article/pii/S2352484723005358Demand responseCustomer directrix loadInverter air conditioningVirtual energy storage |
| spellingShingle | Lingling Zhu Juhua Hong Siyu Yang Zhenda Hu Yunfei Shao Chengxin Wu Guangyu He Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response Energy Reports Demand response Customer directrix load Inverter air conditioning Virtual energy storage |
| title | Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response |
| title_full | Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response |
| title_fullStr | Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response |
| title_full_unstemmed | Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response |
| title_short | Online modeling of virtual energy storage for inverter air conditioning clusters in CDL-based demand response |
| title_sort | online modeling of virtual energy storage for inverter air conditioning clusters in cdl based demand response |
| topic | Demand response Customer directrix load Inverter air conditioning Virtual energy storage |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723005358 |
| work_keys_str_mv | AT linglingzhu onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT juhuahong onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT siyuyang onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT zhendahu onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT yunfeishao onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT chengxinwu onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse AT guangyuhe onlinemodelingofvirtualenergystorageforinverterairconditioningclustersincdlbaseddemandresponse |