Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources
This paper aims to tap the potential of air conditioning loads (ACLs) for consuming photovoltaic power (PV) and wind power (WP). By fully considering different thermal comfort of different users, an ACL twice-clustered model based on different ACL parameters and users tolerance values (UTV) is built...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/10/1630 |
| _version_ | 1828389060308107264 |
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| author | Dongsheng Yang Xinyi Zhang Bowen Zhou |
| author_facet | Dongsheng Yang Xinyi Zhang Bowen Zhou |
| author_sort | Dongsheng Yang |
| collection | DOAJ |
| description | This paper aims to tap the potential of air conditioning loads (ACLs) for consuming photovoltaic power (PV) and wind power (WP). By fully considering different thermal comfort of different users, an ACL twice-clustered model based on different ACL parameters and users tolerance values (UTV) is built. Then, a two-stage ACL control method based on both temperature control (TC) and switch control (SC) is proposed, which achieves rapid control of ACLs as well as diminishing users’ discomfort. Widely existent communication time delay in ACL control network causes obvious control error, which leads to ACL consumption deviation from the target. Therefore, on the basis of analyzing errors and impacts of ACLs caused by communication time delay, this paper proposes a time delay compensation method based on a network predictive control system. Applying the ACLs clustered model and the control method into consuming PV and WP, a dual-stage consumption model considering communication time delay is established. Simulations of the PV and WP consumption effects based on ACLs clusters are conducted, and the influence of SC cycle and outdoor temperature on the simulation results are analyzed. The simulation results demonstrate the validity of the model and the methods proposed in this paper, showing a strong adaptability in different circumstances. |
| first_indexed | 2024-12-10T06:23:25Z |
| format | Article |
| id | doaj.art-a80780a0aeed490cbbcf4e38255ec107 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T06:23:25Z |
| publishDate | 2017-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a80780a0aeed490cbbcf4e38255ec1072022-12-22T01:59:16ZengMDPI AGEnergies1996-10732017-10-011010163010.3390/en10101630en10101630Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy SourcesDongsheng Yang0Xinyi Zhang1Bowen Zhou2College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaThis paper aims to tap the potential of air conditioning loads (ACLs) for consuming photovoltaic power (PV) and wind power (WP). By fully considering different thermal comfort of different users, an ACL twice-clustered model based on different ACL parameters and users tolerance values (UTV) is built. Then, a two-stage ACL control method based on both temperature control (TC) and switch control (SC) is proposed, which achieves rapid control of ACLs as well as diminishing users’ discomfort. Widely existent communication time delay in ACL control network causes obvious control error, which leads to ACL consumption deviation from the target. Therefore, on the basis of analyzing errors and impacts of ACLs caused by communication time delay, this paper proposes a time delay compensation method based on a network predictive control system. Applying the ACLs clustered model and the control method into consuming PV and WP, a dual-stage consumption model considering communication time delay is established. Simulations of the PV and WP consumption effects based on ACLs clusters are conducted, and the influence of SC cycle and outdoor temperature on the simulation results are analyzed. The simulation results demonstrate the validity of the model and the methods proposed in this paper, showing a strong adaptability in different circumstances.https://www.mdpi.com/1996-1073/10/10/1630air conditioning loadloads clusteringtwo-stage control methodPV and WP consumptiondemand response |
| spellingShingle | Dongsheng Yang Xinyi Zhang Bowen Zhou Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources Energies air conditioning load loads clustering two-stage control method PV and WP consumption demand response |
| title | Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources |
| title_full | Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources |
| title_fullStr | Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources |
| title_full_unstemmed | Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources |
| title_short | Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources |
| title_sort | modeling and control of air conditioning loads for consuming distributed energy sources |
| topic | air conditioning load loads clustering two-stage control method PV and WP consumption demand response |
| url | https://www.mdpi.com/1996-1073/10/10/1630 |
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