This paper proposes a detection method for protection mismatch risk settings tailored for high-penetration renewable energy integration scenarios. Using a typical topology of high-penetration distributed renewable energy systems
the degradation mechanism of protection performance is analyzed in depth. Furthermore
the constraints on correct protection operation are revealed by investigating the root causes of protection misoperation and failure to trip. Based on this analysis
the mapping relationship between DG output and protection mismatch risk settings is quantitatively examined. The boundary of protection failure is further determined using a dual-loop iteration method based on the backbone particle swarm optimization (PSO) algorithm. Finally
a comprehensive identification procedure for protection mismatch risk settings is developed. The effectiveness of the proposed approach is validated through simulations using the PSCAD/EMTDC and Matlab/Simulink platforms.
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