Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response
Thermostatically controlled loads (TCLs) have become a major tool for the demand response (DR) program when air conditioners cause peak loads in a day during the winter or summer. To solve the problem of a direct load control with TCL usually affecting user comfort and hardly considering responsiven...
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doaj-85b7b1946f924d0e8c5600868290c6ce2021-03-30T02:28:00ZengIEEEIEEE Access2169-35362020-01-01811204111205610.1109/ACCESS.2020.30032789120043Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand ResponseXiangyu Kong0https://orcid.org/0000-0002-7765-2643Bowei Sun1Jian Zhang2Shupeng Li3https://orcid.org/0000-0002-3221-1123Qun Yang4Key Laboratory of Smart Grid, Ministry of Education, Tianjin University, Tianjin, ChinaKey Laboratory of Smart Grid, Ministry of Education, Tianjin University, Tianjin, ChinaState Grid Tianjin Electric Power Company, Tianjin, ChinaTianjin Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin, ChinaState Grid Liaoning Electric Power Company, Dalian, ChinaThermostatically controlled loads (TCLs) have become a major tool for the demand response (DR) program when air conditioners cause peak loads in a day during the winter or summer. To solve the problem of a direct load control with TCL usually affecting user comfort and hardly considering responsiveness, a power retailer air-conditioning load aggregation operation control and demand response method was proposed in this research. From the perspective of a power retailer, a compensation mechanism for TCL was constructed, which was composed of a basic incentive program and an additional incentive program. The basic incentive program aimed to encourage users with a low response degree to increase the response capacity in order to participate in DR. An auxiliary service market control strategy based on a new compensation mechanism of the electricity retailer was detailed, which fully considered the enthusiasm of the user in mobilizing the response and reducing the load reduction fluctuation when using the state-queuing (SQ) model. Case studies were provided to verify the effectiveness of the proposed method. Compared with other compensation schemes, the simulation results showed that the compensation mechanism provided in this research was more reasonable, and it could smooth the load and reduce fluctuations. The compensation distribution among the user groups could effectively control the uniform distribution in the user groups in the temperature range, and it could mobilize users at different temperatures to participate in DR.https://ieeexplore.ieee.org/document/9120043/Power systemair conditioning loaddemand responseenergy managementthermostatically controlled loadretailer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiangyu Kong Bowei Sun Jian Zhang Shupeng Li Qun Yang |
spellingShingle |
Xiangyu Kong Bowei Sun Jian Zhang Shupeng Li Qun Yang Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response IEEE Access Power system air conditioning load demand response energy management thermostatically controlled load retailer |
author_facet |
Xiangyu Kong Bowei Sun Jian Zhang Shupeng Li Qun Yang |
author_sort |
Xiangyu Kong |
title |
Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response |
title_short |
Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response |
title_full |
Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response |
title_fullStr |
Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response |
title_full_unstemmed |
Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response |
title_sort |
power retailer air-conditioning load aggregation operation control method and demand response |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Thermostatically controlled loads (TCLs) have become a major tool for the demand response (DR) program when air conditioners cause peak loads in a day during the winter or summer. To solve the problem of a direct load control with TCL usually affecting user comfort and hardly considering responsiveness, a power retailer air-conditioning load aggregation operation control and demand response method was proposed in this research. From the perspective of a power retailer, a compensation mechanism for TCL was constructed, which was composed of a basic incentive program and an additional incentive program. The basic incentive program aimed to encourage users with a low response degree to increase the response capacity in order to participate in DR. An auxiliary service market control strategy based on a new compensation mechanism of the electricity retailer was detailed, which fully considered the enthusiasm of the user in mobilizing the response and reducing the load reduction fluctuation when using the state-queuing (SQ) model. Case studies were provided to verify the effectiveness of the proposed method. Compared with other compensation schemes, the simulation results showed that the compensation mechanism provided in this research was more reasonable, and it could smooth the load and reduce fluctuations. The compensation distribution among the user groups could effectively control the uniform distribution in the user groups in the temperature range, and it could mobilize users at different temperatures to participate in DR. |
topic |
Power system air conditioning load demand response energy management thermostatically controlled load retailer |
url |
https://ieeexplore.ieee.org/document/9120043/ |
work_keys_str_mv |
AT xiangyukong powerretailerairconditioningloadaggregationoperationcontrolmethodanddemandresponse AT boweisun powerretailerairconditioningloadaggregationoperationcontrolmethodanddemandresponse AT jianzhang powerretailerairconditioningloadaggregationoperationcontrolmethodanddemandresponse AT shupengli powerretailerairconditioningloadaggregationoperationcontrolmethodanddemandresponse AT qunyang powerretailerairconditioningloadaggregationoperationcontrolmethodanddemandresponse |
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1724185088185335808 |