Saavedra Peña, Nelson Emil

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    Effects of aggregation on three-phase photovoltaic inverters with Sandia frequency shift islanding detection
    (2022-11-08) Saavedra Peña, Nelson Emil; Aponte, Erick E.; College of Engineering; Darbali Zamora, Rachid; Andrade Rengifo, Fabio; Department of Electrical and Computer Engineering; Rodríguez Román, Daniel
    This thesis focuses on the development of an aggregated model of a three-phase photovoltaic (PV) inverter equipped with the Sandia frequency shift (SFS) islanding detection method. This SFS aggregated PV inverter model was developed using the dq0 reference frame theory as basis for its design and analysis. Mathematical theory for aggregation was used to scale the power rating of the aggregated PV inverter model and represent accurately a multi-inverter configuration using the reduced-order aggregated PV inverter model. The aggregated model was implemented and simulated using MATLAB/Simulink and compared to commercially available PV inverters hardware using a Power Hardware-in-the-Loop (PHIL) experimental setup. To validate the results obtained during simulation, the SFS aggregated PV inverter model was compared to a multi-inverter configuration. Over-frequency and under-frequency (OF/UF) islanding scenarios were used to characterize the behavior of hardware PV inverters as well as demonstrate the bi-directional capability of the SFS islanding detection method. Load quality factor tests were also performed to the aggregated PV inverter model to identify any possible influence of quality factor values on aggregated PV inverter islanding detection times. Finally, the scaling factor used to aggregate the PV inverter model was increased to identify the limits of increasing this parameter and yielding similar SFS islanding detection times for the aggregated PV inverter model as the multi-inverter configuration model. The aggregated SFS PV inverter model was able to represent the islanding detection dynamics of a multi-inverter configuration composed of 2 hardware inverters as well as simulated multi-inverter configuration of PV inverters.