Nowadays

power quality problems are affecting people's daily life and production activities. With an aim to improve disturbance detection accuracy

a novel analysis approach

based on multiple impact factors

is proposed in this paper. First

a multiple impact factors analysis is implemented in which two perspectives

i.e.

the wavelet analysis and disturbance features are simultaneously considered. Five key factors

including wavelet function

wavelet decomposition level

redundant algorithm

event type and disturbance intensity

and start and end moment of disturbance

have been considered. Next

an impact factor based accuracy analysis algorithm is proposed

through which each factor's potential impact on disturbance location accuracy is investigated. Three transforms

i.e.

the classic wavelet

lifting wavelet and redundant lifting wavelet are employed

and their superiority on disturbance location accuracy is investigated. Finally

simulations are conducted for verification. Through the proposed method

the wavelet based parameters can be validly selected in order to accurately detect power quality disturbance.