Abstract
Model predictive control (MPC) has been widely studied for regulating frequency in stand-alone microgrids (MGs), owing to the advantages of MPC such as fast response and robustness against the parameter uncertainties. Understanding the impacts of system parameters on the control performance of MPC could be useful for the designing process of the controller to achieve better performance. This study analyzes the impact of system parameters on the control performance of MPC for frequency regulation in a stand-alone MG. The typical stand-alone MG, which consists of a diesel engine generator, an energy storage system (ESS), a wind turbine generator, and a load, is considered in this study. The diesel engine generator is in charge of primary frequency control whereas the ESS is responsible for secondary frequency control. The stand-alone MG is linearized to obtain the dynamic model that is used for designing MPC-based secondary frequency control. The robustness of MPC against the variation of system parameters is also analyzed in this study. A comparison study of MPC and proportional–integral (PI) control is presented. Simulation results show that MPC has a faster response time and lower overshoot compared to PI control. In addition, the robustness of MPC against the system uncertainties is stronger than conventional PI control.
Highlights
A stand-alone microgrid (MG) is a small-scale power system that can operate separately from the utility grid
The contribution of this study is to evaluate the impacts of system parameters on Model predictive control (MPC)-based frequency control of the stand-alone MG system
A comparison study of the MPC and PI regulator for secondary frequency control is
Summary
A stand-alone microgrid (MG) is a small-scale power system that can operate separately from the utility grid. For the stand-alone MG system using these control strategies, it is difficult to effectively obtain the tradeoff between the nominal and robust performances for a wide range of disturbances and uncertainties [12]. Several studies have presented the MPC-based frequency control of the stand-alone MG system. MPCs-based frequency regulation, which can switch the controllers according to the change of the operating conditions, has been presented in [20,21]. A compound control strategy, which consists of a MPC-based upper level for generators and a distributed leader-following consensus control strategy at the lower level for multiple energy storage units, has been proposed in [22]. The contribution of this study is to evaluate the impacts of system parameters on MPC-based frequency control of the stand-alone MG system.
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