COMPONENT BASED AGGREGATE LOAD MODELLING OF MODERN LOADS

被引:0
作者
Neupane, Pradip [1 ]
Silwal, Bishal [1 ]
Katuwal, Sagun [1 ]
Adhikary, Brijesh [1 ]
机构
[1] Kathmandu Univ, Dept Elect & Elect Engn, Dhulikhel, Nepal
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 09期
关键词
Laboratory experiment; Load inventory survey; Parameter estimation; Load modelling;
D O I
10.1016/j.ifacol.2022.07.069
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modelling of the different power system components is very essential for the adequate operation and planning of the network. Load modelling is one of the areas in power system engineering that is often overlooked but has a considerable impact on power system dynamics Load modelling still needs further investigation to develop an adequate and precise load model. Consumer's demand depends on their behaviour, seasonal factor, time factor and other exogenous factors. It is a challenging task to maintain the power quality, stability and adequacy of the system with a changing load behaviour. This paper focuses on the mathematical representation of residential and commercial load characteristics of a distribution feeder from bottom-up approach. A composite static load modelling approach is presented in the paper, which is classified into three major sections i.e. load inventory survey, laboratory experiment and parameter estimation Consumer's load behaviour and appliances have been determined from the survey. Similarly, voltage -power correlation of load from laboratory experiments assist to classify the consumer's load and parameter estimation is based on the load composition of a certain time duration. Load composition here incorporates the duty cycle and weekly factor along with other related consumer data. Copyright (C) 2022 The Authors.
引用
收藏
页码:395 / 400
页数:6
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