Optimizing power sharing accuracy in low voltage DC microgrids considering mismatched line resistances.

Area of Science:

• Electrical Engineering
• Power Systems
• Control Systems

Background:

• Parallel DC-DC converters in DC microgrids (DCMGs) face challenges in load sharing, circulation current, and bus voltage regulation.
• Conventional droop controllers offer simplicity for current sharing but compromise voltage regulation and introduce sharing errors due to fixed droop parameters.

Purpose of the Study:

• To introduce an adaptive and straightforward droop control mechanism for DCMGs.
• To enhance both bus voltage regulation and load sharing performance in parallel DC-DC converters.
• To mitigate bus voltage deviation using a secondary control loop that shifts droop lines.

Main Methods:

• Development of an adaptive droop control algorithm to estimate optimal droop parameters.
• Implementation of a secondary control loop for dynamic bus voltage regulation.
• Comparative analysis of the proposed method against conventional droop control under varying input voltage and load conditions.

Main Results:

• The adaptive droop control demonstrates superior performance in load sharing accuracy compared to conventional methods.
• Enhanced bus voltage regulation is achieved, maintaining stability under dynamic operating conditions.
• The secondary loop effectively mitigates voltage deviations, ensuring reliable DCMG operation.

Conclusions:

• The proposed adaptive droop control mechanism significantly improves load sharing and bus voltage regulation in DCMGs.
• This method offers a robust solution for enhancing the stability and efficiency of parallel DC-DC converter systems.
• The adaptive approach provides better performance than traditional droop control, especially under dynamic load and voltage variations.