The computation of the air conditioning loads life loss and its application to demand response
Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active participation in demand response (DR) programs. While many studies have focused on ON/OFF control schemes that satisfy system requirements, few h...
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| Published in: | Energy systems integration Vol. 6; no. 3; pp. 242 - 252 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Tianjin
John Wiley & Sons, Inc
01.09.2024
Wiley |
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| ISSN: | 2516-8401, 2516-8401 |
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| Abstract | Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active participation in demand response (DR) programs. While many studies have focused on ON/OFF control schemes that satisfy system requirements, few have addressed quantifying the life loss of ACLs from the user perspective. To address this gap, a quantitative model of ACL life loss is established and an optimal scheduling model is developed for ACLs participating in DR that incorporates the cost of life loss. The relationship between life loss and refrigeration power is a complex non‐linear high‐order fractional function that cannot be solved by commercial solvers. Therefore, a bi‐objective multi‐weight optimisation algorithm is proposed with a complex non‐linear fraction based on the Dinkelbach algorithm and its feasibility through mathematical examples is verified. Finally, a numerical example based on the IEEE 39‐bus test system is provided to demonstrate the feasibility of the model and the effectiveness of the proposed solution method. |
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| AbstractList | Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active participation in demand response (DR) programs. While many studies have focused on ON/OFF control schemes that satisfy system requirements, few have addressed quantifying the life loss of ACLs from the user perspective. To address this gap, a quantitative model of ACL life loss is established and an optimal scheduling model is developed for ACLs participating in DR that incorporates the cost of life loss. The relationship between life loss and refrigeration power is a complex non‐linear high‐order fractional function that cannot be solved by commercial solvers. Therefore, a bi‐objective multi‐weight optimisation algorithm is proposed with a complex non‐linear fraction based on the Dinkelbach algorithm and its feasibility through mathematical examples is verified. Finally, a numerical example based on the IEEE 39‐bus test system is provided to demonstrate the feasibility of the model and the effectiveness of the proposed solution method. Abstract Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active participation in demand response (DR) programs. While many studies have focused on ON/OFF control schemes that satisfy system requirements, few have addressed quantifying the life loss of ACLs from the user perspective. To address this gap, a quantitative model of ACL life loss is established and an optimal scheduling model is developed for ACLs participating in DR that incorporates the cost of life loss. The relationship between life loss and refrigeration power is a complex non‐linear high‐order fractional function that cannot be solved by commercial solvers. Therefore, a bi‐objective multi‐weight optimisation algorithm is proposed with a complex non‐linear fraction based on the Dinkelbach algorithm and its feasibility through mathematical examples is verified. Finally, a numerical example based on the IEEE 39‐bus test system is provided to demonstrate the feasibility of the model and the effectiveness of the proposed solution method. |
| Author | Li, Zhiwei Cong, Zhihan Hu, Wenhao Zhao, Shuqiang |
| Author_xml | – sequence: 1 givenname: Zhiwei orcidid: 0000-0002-1418-9831 surname: Li fullname: Li, Zhiwei email: lizhiwei_ncepu@163.com organization: North China Electric Power University – sequence: 2 givenname: Wenhao surname: Hu fullname: Hu, Wenhao organization: North China Electric Power University – sequence: 3 givenname: Zhihan surname: Cong fullname: Cong, Zhihan organization: North China Electric Power University – sequence: 4 givenname: Shuqiang surname: Zhao fullname: Zhao, Shuqiang organization: North China Electric Power University |
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| Snippet | Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active... Abstract Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and... |
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| StartPage | 242 |
| SubjectTerms | Air conditioning Algorithms Cooling Cooling loads Costs distributed power generation Energy efficiency Feasibility Heat mathematical programming non‐linear programming optimisation Optimization Participation power generation scheduling Scheduling Subsidies Wind power |
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| Title | The computation of the air conditioning loads life loss and its application to demand response |
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| Volume | 6 |
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