  Integration of electronics-based residential appliances and distributed
energy resources in homes is expected to rise with grid decarbonization. These
devices may introduce significant harmonics into power networks that need to be
closely studied in order to accurately model and forecast load. However, it can
be difficult to obtain harmonic-rich voltage and current data -- necessary for
identifying accurate load models -- for residential electrical loads.
Recognizing this need, first a set of electronics-based end-use loads is
identified and modeled in an electromagnetic transients program tool for a
residence. Second, an impedance-varying method is proposed to generate harmonic
data that captures harmonic propagation to the supply voltage and harmonic
interactions among end-use loads connected to the same supply voltage. Third, a
harmonic-rich dataset produced via the proposed methodology is demonstrated to
successfully identify frequency coupling matrix-based harmonic load models
using the least-squares method. Numerical results demonstrate the accuracy of
the model. The impact of limited data availability on model identification is
also explored.
