Research article Special Issues

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

  • Received: 01 September 2019 Accepted: 23 October 2019 Published: 25 October 2019
  • 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%.

    Citation: Virendra Sharma, Lata Gidwani. Recognition of disturbances in hybrid power system interfaced with battery energy storage system using combined features of Stockwell transform and Hilbert transform[J]. AIMS Energy, 2019, 7(5): 671-687. doi: 10.3934/energy.2019.5.671

    Related Papers:

  • 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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