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Given the progressively deeper integration of distributed energy resources (DERs), evaluating the potential unintentional islanding hazards in distribution networks becomes increasingly important for distribution system planning and operations. In this paper, a rigorous theoretical analysis is used to devise a DER-driven nondetection zone (D<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>NDZ) method, which is then implemented through a data-driven learning-based approach. Test results indicate that D<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>NDZ can quickly and effectively estimate the nondetection zones for any given distribution feeders, while avoiding numerous and time-consuming electromagnetic transient simulations. D<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>NDZ software has been deployed in Eversource Energy, a major power utility company in the northeastern U.S. In practice, D<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>NDZ reduces utilities engineers’ case study time from months to just a few minutes.

Nondetection Zone Analytics for Unintentional Islanding in a Distribution Grid Integrated With Distributed Energy Resources