Open AccessHybrid control of aggregated thermostatically controlled loads: step rule, parameter optimisation, parallel and cascade structures
Author(s) -
Ma Kai,
Yuan Chenliang,
Liu Zhixin,
Yang Jie,
Guan Xinping
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0619
Subject(s) - setpoint , cascade , control theory (sociology) , controller (irrigation) , computer science , particle swarm optimization , control (management) , tracking error , signal (programming language) , control engineering , engineering , algorithm , artificial intelligence , chemical engineering , agronomy , biology , programming language
This study proposes hybrid control strategies for aggregated thermostatically controlled loads (TCLs) in order to provide ancillary service. The on/off control strategy and the setpoint‐regulation strategy are two typical control strategies. In order to reduce the tracking errors of the two control strategies, two improved methods were developed. The first method dispatches the aggregated loads to the automatic generation control signal following a step rule based on the state of charge. The second method optimises the controller parameters of the setpoint‐regulation strategy by the Powell optimisation algorithm. Based on these two improved methods, the hybrid control strategies with parallel and cascade control structures were established by dividing the TCLs into two clusters, and the optimal allocations of the loads, the reference signal and the tracking error between the two clusters were obtained by the particle swarm optimisation algorithm. The simulation results demonstrate that the hybrid control strategies can reduce the errors in load following.