Abstract:
This paper presents a method for detection of
Power Quality (PQ) disturbances using Stockwell’s
transform. Modeling equations are used for PQ disturbance
generation using MATLAB program as per IEEE standards.
Signals features are extracted from the time-frequency
analysis based on Stockwell’s transform. A rule-based
decision tree are used to classify various PQ disturbances. It
can be seen that high efficiency of classification is achieved
using S-transform with rule-based decision tree. Several PQ
disturbances are addressed with single and combined
disturbances. Results demonstrate the accuracy and
robustness of the proposed method in detection and
recognition of single and combined PQ disturbances under
noiseless and noisy conditions. The proposed algorithm also
shows good performance in comparison with other reported
studies.
