Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids
AbstractThis 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. View Full-Text
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Ma, K.; Yuan, C.; Yang, J.; Liu, Z.; Guan, X. Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids. Energies 2017, 10, 953.
Ma K, Yuan C, Yang J, Liu Z, Guan X. Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids. Energies. 2017; 10(7):953.Chicago/Turabian Style
Ma, Kai; Yuan, Chenliang; Yang, Jie; Liu, Zhixin; Guan, Xinping. 2017. "Switched Control Strategies of Aggregated Commercial HVAC Systems for Demand Response in Smart Grids." Energies 10, no. 7: 953.
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