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Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids

机译:智能电网中需求响应的综合商用HVAC系统的切换控制策略

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摘要

This work proposes three switched control strategies for aggregated heating, ventilation, and air conditioning (HVAC) systems in commercial buildings to track the automatic generation control (AGC) signal in smart grid. The existing control strategies include the direct load control strategy and the setpoint regulation strategy. The direct load control strategy cannot track the AGC signal when the state of charge (SOC) of the aggregated thermostatically controlled loads (TCLs) exceeds their regulation capacity, while the setpoint regulation strategy provides flexible regulation capacity, but causes larger tracking errors. To improve the tracking performance, we took the advantages of the two control modes and developed three switched control strategies. The control strategies switch between the direct load control mode and the setpoint regulation mode according to different switching indices. Specifically, we design a discrete-time controller and optimize the controller parameter for the setpoint regulation strategy using the Fibonacci optimization algorithm, enabling us to propose two switched control strategies across multiple time steps. Furthermore, we extend the switched control strategies by introducing a two-stage regulation in a single time step. Simulation results demonstrate that the proposed switched control strategies can reduce the tracking errors for frequency regulation.
机译:这项工作提出了三种开关控制策略,用于商业建筑中的总供暖,通风和空调(HVAC)系统,以跟踪智能电网中的自动发电控制(AGC)信号。现有的控制策略包括直接负载控制策略和设定点调节策略。当总的恒温控制负载(TCL)的荷电状态(SOC)超过其调节能力时,直接负载控制策略无法跟踪AGC信号,而设定点调节策略可提供灵活的调节能力,但会引起较大的跟踪误差。为了提高跟踪性能,我们利用两种控制模式的优势,开发了三种切换控制策略。控制策略根据不同的切换指标在直接负载控制模式和设定点调节模式之间切换。具体来说,我们设计了一个离散时间控制器,并使用Fibonacci优化算法为设定点调节策略优化了控制器参数,从而使我们能够跨多个时间步提出两种切换控制策略。此外,我们通过在单个时间步中引入两阶段调节来扩展开关控制策略。仿真结果表明,所提出的开关控制策略可以减少频率调节的跟踪误差。

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