Development of Reduced Feeder and Load Models Using Practical Topological and Loading Data

TL;DR

This paper presents a practical algorithm for reducing distribution feeder and load models using topological and loading data, balancing accuracy and computational efficiency in power system analysis.

Contribution

The paper introduces a novel method for creating reduced order models of feeders using real utility data, improving simulation efficiency while maintaining accuracy.

Findings

Reduced models accurately capture fault-induced delayed voltage recovery behaviors

Method effectively balances model simplicity and accuracy

Simulations demonstrate improved computational efficiency

Abstract

Distribution feeder and load model reduction methods are essential for maintaining a good tradeoff between accurate representation of grid behavior and reduced computational complexity in power system studies. An effective algorithm to obtain a reduced order representation of the practical feeders using utility topological and loading data has been presented in this paper. Simulations conducted in this work show that the reduced feeder and load model of a utility feeder, obtained using the proposed method, can accurately capture contactor and motor stalling behaviors for critical events such as fault induced delayed voltage recovery.