A Fuzzy Logic-Based Droop Control Approach for Stability of Bipolar DC Microgrid Using Novel SEPIC-Cuk Converter

Bipolar DC microgrids encounter voltage imbalance due to uneven load distribution, leading to decreased system reliability and efficiency. Addressing this issue is necessary for optimizing voltage stability and load sharing. This paper presents an innovative combination of the SEPIC-Cuk converter topology, facilitating power distribution from multiple sources to the two wires of bipolar DC bus and minimizing the total count of DC-DC converters. Employing a decentralized control architecture, a droop-based fuzzy logic algorithm based on the Takagi-Sugeno approach is introduced. This algorithm adapts to dynamic conditions, adjusting droop coefficients using linguistic rules to optimize power distribution and system stability. Thorough simulations and validations across different load conditions ensure the effectiveness of the proposed topology and control methodology. Comparative analysis against conventional approaches demonstrates that the novel topology, coupled with the fuzzy logic controller, achieves a significant enhancement, improving system efficiency by 3% and reducing response time by 2%.