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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model
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A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model

机译：前方调度框架，用于热惯性和热舒适型恒温控制负载

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This paper proposes a day-ahead dispatch framework of thermostatically controlled loads (TCLs) for system peak load reduction. The proposed day-ahead scheduling framework estimates the users indoor thermal comfort degree through the building thermal inertia modelling. Based on the thermal comfort estimation, a dayahead TCL scheduling model is formulated, which consists of 3 stages: TCL aggregator estimate their maximal controllable TCL capacities at each scheduling time interval by solving a optimization model; the system operator performs the day-ahead system dispatch to determine the load shedding instruction for each aggregator; and the TCL aggregators schedules the ON/OFF control actions of the TCL groups based on the instruction from the system operator. A heuristic based optimization method, history driven differential evolution (HDDE) algorithm, is employed to solve the day-ahead dispatch model of the TCL aggregator side. Simulations are conducted to validate the proposed model.
机译：本文提出了用于系统峰值负荷减少的恒温控制载荷（TCLS）的前方调度框架。所提出的一天的调度框架通过建筑热惯性建模估计用户室内热舒适度。基于热舒适度估计，制定了日间TCL调度模型，由3个阶段组成：TCL聚合器通过求解优化模型，可以在每个调度时间间隔内估计其最大可控的TCL容量;系统操作员执行日前系统调度以确定每个聚合器的负载脱落指令;而TCL聚合器根据系统运算符的指令调度TCL组的开/关控制操作。采用启发式基于优化方法，历史驱动差分演进（HDDE）算法来解决TCL聚合器侧的前方调度模型。进行仿真以验证所提出的模型。

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