Fuzzy Power Quality Indicator
This paper proposes a novel fuzzy power quality indicator for representing the level of power quality status. In this work, we develop the fuzzy rules, degree membership function and inference rules for identifying the power quality level on six encountered types of power quality events. The traditional power quality indices are not performed well for assessing the status of the power quality because of their hard limits. Hence, this study develops the soft (human thinking like) indices for presenting the serious degree of power quality. Simulation results show the proposed fuzzy power quality indicator is suitable for representing the level of power quality events.