- Title
- An operational planning framework for large-scale thermostatically controlled load dispatch
- Creator
- Luo, Fengji; Dong, Zhao Yang; Meng, Ke; Wen, Junhao; Wang, Haiming; Zhao, Junhua
- Relation
- IEEE Transactions on Industrial Informatics Vol. 13, Issue 1, p. 217-227
- Publisher Link
- http://dx.doi.org/10.1109/TII.2016.2515086
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2017
- Description
- This paper proposes an operational planning framework for large-scale thermostatically controlled load (TCL) dispatch. The proposed framework consists of a day-ahead scheduling stage and a real-time operation stage. A thermal comfort model is employed to estimate the occupants' thermal comfort degree. A self-adaptive TCL grouping method is proposed to group the TCLs based on the similarity of the TCL model parameters. Then, a hierarchical day-ahead scheduling model is proposed to make the optimal dispatch plan for the TCL aggregators based on the day-ahead forecasted information. In the real-time operation stage, a predictive control model is proposed for the TCL aggregators to make the real-time TCL dispatch decision based on the updated real-time information. The simulation results prove the efficiency of the proposed framework.
- Subject
- chlorine; load modeling; real-time systems; atmospheric modeling; temperature; ISO standards; predictive models
- Identifier
- http://hdl.handle.net/1959.13/1399591
- Identifier
- uon:34636
- Identifier
- ISSN:1551-3203
- Language
- eng
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