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

机译:大规模恒温控制负荷调度的运行计划框架

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摘要

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.
机译:本文提出了大规模恒温控制负荷(TCL)调度的操作计划框架。所提出的框架包括提前调度阶段和实时操作阶段。采用热舒适模型来估算乘员的热舒适度。提出了一种基于TCL模型参数相似度的自适应TCL分组方法。然后,提出了一种基于日前预报的分层日程调度模型,为TCL聚合器制定最优调度方案。在实时操作阶段,提出了一种针对TCL聚合器的预测控制模型,以基于更新后的实时信息做出实时TCL调度决策。仿真结果证明了所提框架的有效性。

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