A tool for automatic determination of model parameters using particle swarm optimization

Abstract

This paper presents a tool developed in EMTP to automatically determine model parameters for matching existing field measurements. The tool uses the particle swarm optimization (PSO) algorithm to calibrate or update existing models. To enhance the performance of the tool, a technique used to improve PSO efficiency is also proposed. Two test cases are presented. The first case aims to determine the parameters of the reactive power control loop in a PV park controller model. The second case finds the unknown parameters in an exciter model of a synchronous machine connected to a grid.