Voltage Stability in DC Microgrid Using Backtracking Search Algorithm PI Controllers

Voltage stability is a challenging issue for autonomous DC microgrids. To maintain the voltage within the permissible range during operation conditions, PI controllers are widely used and adopted. This paper develops PI controllers based on the Backtracking search algorithm BSA, for ensuring voltage stability in a DC microgrid. The applied optimization algorithm searches the optimum PI parameters to keep the voltage on the desired value. In order to evaluate the potential of the suggested algorithm, a comparison is carried out with the genetic algorithm GA and particle swarm optimization PSO. The Matlab/Simulink environment is used to design and examined the control process. The comparative findings demonstrate that tuning PI controllers by the BSA approach achieves better performance.