Utilization of Stockwell Transform, Support Vector Machine and D-STATCOM for the Identification, Classification and Mitigation of Power Quality Problems

Power Quality (PQ) has become a significant issue in power networks. quality disturbances must be precisely and appropriately identified. This activity involves identifying, classifying, mitigating problems. A case study of the Awada industrial zone Ethiopia is taken into consideration to show practical applicability proposed work. It found that current harmonic distortion levels exceed restrictions with maximum percentage Total Harmonic Distortion Current (THDI) value up 23.09%. The signal processing technique, i.e., Stockwell Transform (ST) utilized for identification issues, it covers most important common issues. Support Vector Machine (SVM) method used categorize which enhances classification procedure. ST scored better terms accuracy than Wavelet (WT), Fourier (FT), Hilbert (HT), obtaining 97.1%, as compared 91.08%, 88.91%, 86.8%, respectively. SVM was 98.3%. To lower level sector, Distribution Static Compensator (D-STATCOM) developed control mode. evaluate performance D-STATCOM, distribution network without D-STATCOM simulated. simulation results THDI reduced 4.36% when suggested applied system.