Bayesian Estimation Based Load Modeling Report

TL;DR

This report details a Bayesian estimation approach for load modeling in power systems, focusing on deriving parameters for ZIP and IM models, providing a comprehensive methodology for accurate load representation.

Contribution

It introduces a Bayesian estimation framework for load model parameter derivation, enhancing accuracy and robustness over traditional methods.

Findings

Successful derivation of ZIP model parameters using Bayesian methods

Effective estimation of IM model parameters with improved precision

Provides a detailed step-by-step methodology for load model estimation

Abstract

This report presents the detailed steps of establishing the composite load model in the power system. The derivations of estimation the ZIP model and IM model parameters are proposed in this report. This is a supplementary material for the paper submitted to PES GM 2019.