Efficient islanding detection in hybrid Microgrids: The hybrid approach integrating ROCPAD and IB-RPV

Abstract

In light of the growing integration of renewable energy sources (RES) into power networks, this study presents a new hybrid islanding detection method (IDM) designed to improve the islanding detection efficiency of hybrid MGs. The proposed hybrid IDM combines the strengths of two existing islanding detection approaches: The Rate of Change of Phase Angle Difference (ROCPAD) and the Intermittent-Bilateral Reactive Power Variation (IB-RPV). By combining these two techniques, the hybrid strategy uses their complementary qualities, minimizing the drawbacks of each method and improving detection accuracy overall. With analyzed performance, the suggested hybrid IDM’s compatibility with IEEE 1547 standards shows it complies with industry standards. Comparative performance analysis of the proposed IDM with existing IDM shows improved islanding detection accuracy, fast detection of islanding events, and no nuisance tripping. The method is noteworthy for its zero non-detection zone (NDZ) and negligible impact on power quality. The proposed hybrid IDM suits Hybrid Microgrids (HMG) with inverter-based Distributed Generation (DG).