Abstract

This paper describes a novel method to synthesize load and feeder models, by estimating the load composition and the load parameters, using instantaneous voltage and current measurements, obtained at the distribution level, from disturbance events. A novel feeder model structure has been proposed in this work comprising of single-phase loads, three-phase loads, impedance loads, distribution transformers and distribution line segments. The load composition of the proposed feeder models and the motor load parameters are determined using a non-linear least squares algorithm integrated with an electromagnetic transient (EMT) analysis tool PSCAD. The efficacy of the proposed algorithm is examined for feeders at different physical locations and with distinctly varied load characteristics. Using this approach, parameters of the motor loads have been obtained within a fixed set of bounded values for each corresponding parameter. The ability of the proposed feeder and load models to capture severe fault induced delayed voltage recovery events (FIDVR) has also been discussed here.

Highlights

  • T HERE is a growing need to develop accurate feeder and load models to replicate the behavior of actual distribution systems in transmission planning and operation studies [1], [2]

  • There are two predominant types of measurement-based methods: static load modeling method [7], [8], which estimates load parameters based on a ZIP model, and composite load modeling method [9], [10], which expands beyond the ZIP model by including more dynamic load components such as motor models

  • 3PHIMs obtained for the industrial/commercial feeder (Case 3 and Case 4) are comparable. This indicates that the loading conditions do not have a very significant impact on the parameters of the motor loads obtained for a particular type of feeder

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Summary

Introduction

T HERE is a growing need to develop accurate feeder and load models to replicate the behavior of actual distribution systems in transmission planning and operation studies [1], [2]. There are two predominant types of measurement-based methods: static load modeling method [7], [8], which estimates load parameters based on a ZIP (constant impedance, constant current and constant power) model, and composite load modeling method [9], [10], which expands beyond the ZIP model by including more dynamic load components such as motor models All these approaches deal with root mean square (RMS) dynamic load models that uses RMS measurements and are typically used in positive sequence transient stability (TS) simulators [11] due to the advantages they offer such as higher computational speed, at large time steps of milliseconds, for grid-level system studies

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