Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors
This work is a combined study of the economics-based customer survey and demand response (DR) optimization. We present a methodology to capture the customers’ behavior and thermal parameter differences within the decision-making of the voluntary air-conditioning DR program for critical peak reductio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484720316693 |
| _version_ | 1818844614472237056 |
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| author | Zihang Zhang Peng Zhang Yuan Zhao Xiaodong Chen Zheng Zong Kai Wu Jun Zhou |
| author_facet | Zihang Zhang Peng Zhang Yuan Zhao Xiaodong Chen Zheng Zong Kai Wu Jun Zhou |
| author_sort | Zihang Zhang |
| collection | DOAJ |
| description | This work is a combined study of the economics-based customer survey and demand response (DR) optimization. We present a methodology to capture the customers’ behavior and thermal parameter differences within the decision-making of the voluntary air-conditioning DR program for critical peak reduction. Firstly, we developed a face-to-face survey based on the contingent valuation method (CVM) to investigate the demand-side bid preferences of residential customers, while the households’ willingness-to-accept (WTA) distribution on the particular AC interruptions is evaluated by an expenditure difference model (EDM). Based on the survey, we decoupled the inner relationships between the customers’ bidding behavior versus consumption properties through an aggregate thermal state analysis of the customers’ entity. Subsequently, the above data are fitted into an optimization framework with DR modeling to maximize the system’s benefit, optimize the DR control, and find the optimal reward price on saving the system’s generation investment with critical peak reduction. In the DR modeling, we presented a group thermal state model, in which the customers are divided into several groups and respond to the DR signal sequentially to mitigate the behavior-lead cooling-rebound. Besides, we considered the responding convenience of the customers, which is based on their real-time stay-at-home rate and thermal state evaluation during the summer peak. The proposed methodology could strongly support the system’s decision-making and is finally validated within the city of Xi’an, China. |
| first_indexed | 2024-12-19T05:16:34Z |
| format | Article |
| id | doaj.art-f28e90f7288b4059bd301a9187f6050d |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-19T05:16:34Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-f28e90f7288b4059bd301a9187f6050d2022-12-21T20:34:39ZengElsevierEnergy Reports2352-48472020-11-01633033315Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviorsZihang Zhang0Peng Zhang1Yuan Zhao2Xiaodong Chen3Zheng Zong4Kai Wu5Jun Zhou6State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, ChinaJinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an, 710049, China; Corresponding author.Jinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an, 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, ChinaThis work is a combined study of the economics-based customer survey and demand response (DR) optimization. We present a methodology to capture the customers’ behavior and thermal parameter differences within the decision-making of the voluntary air-conditioning DR program for critical peak reduction. Firstly, we developed a face-to-face survey based on the contingent valuation method (CVM) to investigate the demand-side bid preferences of residential customers, while the households’ willingness-to-accept (WTA) distribution on the particular AC interruptions is evaluated by an expenditure difference model (EDM). Based on the survey, we decoupled the inner relationships between the customers’ bidding behavior versus consumption properties through an aggregate thermal state analysis of the customers’ entity. Subsequently, the above data are fitted into an optimization framework with DR modeling to maximize the system’s benefit, optimize the DR control, and find the optimal reward price on saving the system’s generation investment with critical peak reduction. In the DR modeling, we presented a group thermal state model, in which the customers are divided into several groups and respond to the DR signal sequentially to mitigate the behavior-lead cooling-rebound. Besides, we considered the responding convenience of the customers, which is based on their real-time stay-at-home rate and thermal state evaluation during the summer peak. The proposed methodology could strongly support the system’s decision-making and is finally validated within the city of Xi’an, China.http://www.sciencedirect.com/science/article/pii/S2352484720316693Air-conditioning demand responseResidential consumption behaviorDemand-side controlWillingness-to-acceptGroup thermal state model |
| spellingShingle | Zihang Zhang Peng Zhang Yuan Zhao Xiaodong Chen Zheng Zong Kai Wu Jun Zhou Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors Energy Reports Air-conditioning demand response Residential consumption behavior Demand-side control Willingness-to-accept Group thermal state model |
| title | Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors |
| title_full | Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors |
| title_fullStr | Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors |
| title_full_unstemmed | Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors |
| title_short | Survey-based air-conditioning demand response for critical peak reduction considering residential consumption behaviors |
| title_sort | survey based air conditioning demand response for critical peak reduction considering residential consumption behaviors |
| topic | Air-conditioning demand response Residential consumption behavior Demand-side control Willingness-to-accept Group thermal state model |
| url | http://www.sciencedirect.com/science/article/pii/S2352484720316693 |
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