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

被引：2
|
作者：
Nzale, Willy [1 ]
Ashourian, Hossein [1 ]
Mahseredjian, Jean [2 ]
Gras, Henry [1 ]
机构：
[1] PGSTech, Montreal, PQ H2K 1C3, Canada
[2] Polytech Montreal, Montreal, PQ H3T 1J4, Canada
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2023年 / 219卷
关键词：
Digital-twin; Electromagnetic transients; EMTP; Particle swarm optimization; Renewables; This work was supported by PGSTech company in Montreal; Canada; DESIGN;
D O I：
10.1016/j.epsr.2023.109258
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：7
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