Microgrid Applications: Effects of Communication Systems on Secondary Control Performance

This research looks into the impact of communication flaws, such as delays, on the power quality of an AC microgrid operating in islanded mode. To do this, simulation models of the microgrid and its secondary level control system are combined with stochastic delay models for industrial communication protocols. The results show how control strategies can affect the standalone operation when using communication protocols, as well as how the choice of communication technology can affect the transient response. A straightforward strategy is used to improve control performance using enhanced model predictive control, without changing the conventional secondary control structure. It has been demonstrated that the main advanced controller can be tuned to reduce oscillations caused by delays and, to some extent, improve power quality. The framework provided can be used to design and verify the integration of communication and control subsystems in microgrids. The design and verification of the integration of communication and control subsystems in microgrids were done using the MATLAB/SIMULINK environment.