Aggregated Load and Generation Equivalent Circuit Models with Semi-Empirical Data Fitting
This work addresses the need for accurate and computationally efficient models of aggregated electrical loads and generation for power system analysis, but the approach is incremental as it extends an existing formulation.
The paper proposes a semi-empirical modeling framework for aggregated electrical load and generation using an equivalent circuit formulation, enabling real-time simulations for time-varying aggregated loads and generation.
In this paper we propose a semi-empirical modeling framework for aggregated electrical load and generation using an equivalent circuit formulation. The proposed models are based on complex rectangular voltage and current state variables that provide a generalized form for accurately representing any transmission and distribution components. The model is based on the split equivalent circuit formulation that was previously shown to unify power flow, three phase power flow, harmonic power flow, and transient analyses. Importantly, this formulation establishes variables that are analytical and are compatible with model fitting and machine learning approaches. The parameters for the proposed semi-empirical load and generation models are synthesized from measurement data and can enable real-time simulations for time varying aggregated loads and generation.