An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch

作者：Luo, Fengji^*; Dong, Zhao Yang; Meng, Ke; Wen, Junhao; Wang, Haiming; Zhao, Junhua

来源：IEEE Transactions on Industrial Informatics, 2017, 13(1): 217-227.

DOI：10.1109/TII.2016.2515086

• Demand response (DR)
• demand-side management
• direct load control (DLC)
• thermostatically controlled load (TCL)

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.

• 出版日期2017-2
• 单位香港中文大学（深圳）; 重庆大学