Analysis and Optimization of Droop Controller for Microgrid System based on Slime Mould Algorithm

The switching process in the microgrid between islanded mode and grid connection causes the frequency and voltages to deviate from their nominal values. Various control strategies have been employed. Among these strategies, the droop control approach is one of the most popular methods to minimize these deficiencies and to optimize power sharing across distributed generation(DGs) sources in an islanded microgrid. As a result, the parameter values must be carefully selected utilizing the optimization techniques. This work aims to improve the droop controller to guarantee that variations during islanding and load changes are as low as possible. This paper employed slime mould algorithm optimization to optimize the droop control and utilized it to optimize the PI controller parameters. Finally, to evaluate the effectiveness of the suggested control strategy, its results are compared with the sine cosine algorithm (SCA) and conventional methods. The results show that the proposed control scheme is superior to that of the sine cosine (SCA) based MG controllers and conventional method for similar system configuration and operation conditions.