|
Khem Raj Mahawar
Dr. Bharat Bhushan Jain
Keywords:
Stockwell Transform; Fault Detection; Fault Classification; Renewable Energy; Distributed Generation; Distribution Power System; S-Matrix; Fault Index; Symmetrical Faults; Unsymmetrical Faults.
Abstract:
The increasing integration of distributed generation (DG), particularly renewable energy sources such as solar and wind energy, has significantly changed the operating characteristics and fault behavior of modern distribution power systems. These changes can affect the performance of conventional protection equipment and make the rapid detection and classification of symmetrical and unsymmetrical faults more challenging. Therefore, reliable and efficient fault-detection techniques are essential for maintaining the stability, security, and continuity of power supply. This paper proposes a Stockwell Transform (ST)-based approach for the detection and classification of faults in renewable energy-integrated distribution power systems. The proposed method utilizes the time-frequency characteristics of electrical signals obtained through the Stockwell Transform to construct an S-matrix-based fault index. Appropriate threshold values and a decision algorithm are employed to distinguish normal operating conditions from fault conditions and to identify different fault types. The proposed approach is implemented and evaluated on an IEEE 33-bus distribution system using MATLAB/Simulink under renewable-energy-integrated operating conditions. The results demonstrate the capability of the Stockwell Transform to effectively extract fault-related signal characteristics and provide rapid and reliable identification of symmetrical and unsymmetrical faults. The proposed method offers a promising approach for enhancing fault protection and monitoring in modern distribution networks with renewable energy integration.
|
|
International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XIX, Issue 3
September 2026
|
PDF View
PUBLISHED
September 2026
ISSUE
Vol. XIX, Issue 3
SECTION
Articles
|
