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Recognition of disturbances in hybrid power system interfaced with battery energy storage system using combined features of Stockwell transform and Hilbert transform

Department of Electrical Engineering, Rajasthan Technical University, Kota, India

Special Issues: Intelligent Battery Power System Design and Simulation

This paper presents an algorithm using combined features of Stockwell transform and Hilbert transform for analysis of disturbances in the hybrid power system interfaced with battery energy storage system (BESS). Hybrid power system is realized using five nodes test network to which BESS supported by distribution static compensator (DSTATCOM), wind and solar photovoltaic (PV) generators are integrated. A disturbance detection index (DDI) based on combined features of Stockwell transform and Hilbert transform is proposed for detection of various types of disturbances. Results are obtained in the absence and presence of the proposed BESS supported by DSTATCOM to investigate the effect of BESS on performance of the hybrid power system. Investigated events include the switching ON/OFF the resistive load, outage of wind generator and simultaneous outage of both wind and solar PV generators. It is anticipated that performance of proposed method will be high in all investigated cases of study. This could be established in MATLAB/Simulink environment. Proposed BESS will be effective to reduce the disturbance level up to 91%.
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