<p>A novel Adaptive Normalised Huber (ANH) control algorithm is proposed in this paper to control Voltage Source Converter (VSC). The Bidirectional DC-DC Converter (BDDC) and Photovoltaic (PV) with boost converter are connected to the controlled DC link voltage of VSC to ensure the seamless operation of the Grid to Vehicle (G2V) and Vehicle to Grid (V2G) modes in Electric Vehicles (EV). The quality of power is also enhanced per IEEE standards by the EV-PV-based microgrid that was developed. This system, which includes a Boost Converter, Battery Bank (BB) with BDDC, VSC, Non-linear load, Grid, and Maximum Power Point Tracking (MPPT), guarantees a continuous and flawless power supply. Matlab/Simulink is employed to analyse the proposed system. Experimental analysis is also conducted on the steady-state and dynamic waveforms. It has been noted that the results of both the experimental and Matlab methods are valid and satisfactory. The paper also provides a comparative analysis of the proposed ANH algorithm with the Least Mean Square (LMS) and Second Order Generalised Integrator (SOGI) filter, which demonstrates its efficacy.</p>

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Development of an ANH control algorithm for improved power quality in EV-PV microgrids

  • Supriya sharma,
  • Pankaj Gupta

摘要

A novel Adaptive Normalised Huber (ANH) control algorithm is proposed in this paper to control Voltage Source Converter (VSC). The Bidirectional DC-DC Converter (BDDC) and Photovoltaic (PV) with boost converter are connected to the controlled DC link voltage of VSC to ensure the seamless operation of the Grid to Vehicle (G2V) and Vehicle to Grid (V2G) modes in Electric Vehicles (EV). The quality of power is also enhanced per IEEE standards by the EV-PV-based microgrid that was developed. This system, which includes a Boost Converter, Battery Bank (BB) with BDDC, VSC, Non-linear load, Grid, and Maximum Power Point Tracking (MPPT), guarantees a continuous and flawless power supply. Matlab/Simulink is employed to analyse the proposed system. Experimental analysis is also conducted on the steady-state and dynamic waveforms. It has been noted that the results of both the experimental and Matlab methods are valid and satisfactory. The paper also provides a comparative analysis of the proposed ANH algorithm with the Least Mean Square (LMS) and Second Order Generalised Integrator (SOGI) filter, which demonstrates its efficacy.