Open AccessDynamic load modelling of a paper mill for small signal stability studies
Author(s) -
Wong Ke En,
Haque Md Enamul
Publication year - 2014
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2013.0343
Subject(s) - control theory (sociology) , electric power system , transfer function , signal (programming language) , stability (learning theory) , disturbance (geology) , power (physics) , small signal model , transient (computer programming) , computer science , dynamic load testing , laplace transform , control engineering , engineering , voltage , paleontology , machine learning , electrical engineering , biology , programming language , operating system , mathematical analysis , mathematics , control (management) , artificial intelligence , physics , structural engineering , quantum mechanics
This study considers a power system with half the demand comprises of industrial loads with large rotating machines. The dynamic behaviour of these loads during disturbance is crucial to system stability. This study describes a practical approach to develop Laplace transfer function (TF) model of a mill load connected to this power system. A PSCAD/EMTDC™ simulation model of the mill (‘the detailed model’) is built from information on the types of load within the mill and verified in a piece‐wise manner, i.e., against individual motor starts. Instead of using generic load models, system identification theory is applied to evaluate the TF load model from simulated disturbance responses for both voltage and frequency changes. The main objective is to accurately represent the load behaviour particularly during small signal disturbances. It is recognised that large signal requirements of a load model for transient stability studies are important but the inevitable non‐linearity of such a model would tend to saturate the loads' behaviour during smaller disturbances. The developed small signal load model is then tested using practical disturbance profiles from this power system. This modelling approach allows development work to commence before real‐life disturbance measurements are available since such data are currently scant.