Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator
Abstract Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-11-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40565-017-0329-5 |
| _version_ | 1818718285751910400 |
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| author | Fengji LUO Gianluca RANZI Zhaoyang DONG |
| author_facet | Fengji LUO Gianluca RANZI Zhaoyang DONG |
| author_sort | Fengji LUO |
| collection | DOAJ |
| description | Abstract Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants’ thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method. |
| first_indexed | 2024-12-17T19:48:37Z |
| format | Article |
| id | doaj.art-cc94a30c9be442eb86985eb285c83350 |
| institution | Directory Open Access Journal |
| issn | 2196-5625 2196-5420 |
| language | English |
| last_indexed | 2024-12-17T19:48:37Z |
| publishDate | 2017-11-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-cc94a30c9be442eb86985eb285c833502022-12-21T21:34:49ZengIEEEJournal of Modern Power Systems and Clean Energy2196-56252196-54202017-11-015694795810.1007/s40565-017-0329-5Rolling horizon optimization for real-time operation of thermostatically controlled load aggregatorFengji LUO0Gianluca RANZI1Zhaoyang DONG2School of Civil Engineering, University of SydneySchool of Civil Engineering, University of SydneySchool of Electrical and Information Engineering, University of SydneyAbstract Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants’ thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method.http://link.springer.com/article/10.1007/s40565-017-0329-5Thermostatically controlled loadDemand side managementRolling horizon optimizationThermal comfort modelDemand response |
| spellingShingle | Fengji LUO Gianluca RANZI Zhaoyang DONG Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator Journal of Modern Power Systems and Clean Energy Thermostatically controlled load Demand side management Rolling horizon optimization Thermal comfort model Demand response |
| title | Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator |
| title_full | Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator |
| title_fullStr | Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator |
| title_full_unstemmed | Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator |
| title_short | Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator |
| title_sort | rolling horizon optimization for real time operation of thermostatically controlled load aggregator |
| topic | Thermostatically controlled load Demand side management Rolling horizon optimization Thermal comfort model Demand response |
| url | http://link.springer.com/article/10.1007/s40565-017-0329-5 |
| work_keys_str_mv | AT fengjiluo rollinghorizonoptimizationforrealtimeoperationofthermostaticallycontrolledloadaggregator AT gianlucaranzi rollinghorizonoptimizationforrealtimeoperationofthermostaticallycontrolledloadaggregator AT zhaoyangdong rollinghorizonoptimizationforrealtimeoperationofthermostaticallycontrolledloadaggregator |