Improving Load Power Sharing Accuracy in Standalone Microgrid DC Networks Using Intelligent Adaptive Droop Control Based on Fuzzy Logic Control

DC Microgrid refers to a network that connects distributed DC generators. The control of the DCMG converters is employed to achieve proportional load sharing and optimal DC bus voltage restoration. Conventional droop control is a common technique used in DC Microgrids with multiple converter units. However, the performance of this technique is limited when considering channel resistance differences. In this article, we propose an adaptive droop control that utilizes secondary control to minimize DC bus voltage deviation while improving load power-sharing accuracy. The droop resistance is adjusted using a proportional controller to compensate for load current sharing errors while reducing DC bus voltage deviation through a PI controller. To determine the actual load current conditions, the exchange of output currents between converter units through communication channels is taken into account. The proposed control strategy can maintain a balanced load power distribution among the three sources with a ratio close to 1:1:1. Comparative analysis results between the conventional droop control method and the proposed method are fully simulated in Matlab/Simulink with varying load power values.