Predictive permanent magnet synchronous generator based small-scale wind energy system at dynamic wind speed analysis for residential net-zero energy building

Authors

  • Asif Khan Solar Thermal Vacuum Engineering Research Group, London Centre for Energy Engineering, School of Engineering, London South Bank University, London, United Kingdom
  • Saim Memon Solar Thermal Vacuum Engineering Research Group, London Centre for Energy Engineering, School of Engineering, London South Bank University, London, United Kingdom
  • Zafar Said Department of Sustainable and Renewable Energy Engineering, University of Sharjah, P. O. Box 27272, Sharjah, United Arab Emirates

DOI:

https://doi.org/10.37934/stve.3.1.2949

Keywords:

Wind energy, PMSG, UPS, MPPT control algorithm, MATLAB Simulation

Abstract

Integration of small-scale wind energy system to residential buildings for a target to achieve net-zero CO2 emissions is a revolutionary step to reduce the dependency on the national grid. In this paper, a predictive 20 kVA permanent magnet synchronous generator (PMSG) based small scale wind turbine is investigated at dynamic wind speed with a sensing control system to manage and monitor the power flow for a supply to a typical residential building. A control system is applied that regulates the power from the wind turbine. Results indicate that the proposed control system maximizes the power efficiency within the system. The maximum power generation capacity of the wind turbine is 20 kWh with 415 VAC and 50 Hz frequency. A storage system of 19.2 kWh that supplies the energy to the load side. The applied control unit improves the energy management and protects the power equipment during the faults. The research is conducted using MATLAB/SIMULINK and mathematical formulations.

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Published

2021-08-25

How to Cite

Asif Khan, Saim Memon, & Zafar Said. (2021). Predictive permanent magnet synchronous generator based small-scale wind energy system at dynamic wind speed analysis for residential net-zero energy building. International Journal of Solar Thermal Vacuum Engineering, 3(1), 29–49. https://doi.org/10.37934/stve.3.1.2949
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