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
相关论文
共 50 条
  • [31] Modelling EVs in residential distribution grid with other nonlinear loads
    Niitsoo, J.
    Taklaja, P.
    Palu, I.
    Kiitam, I.
    2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), 2015, : 1543 - 1548
  • [32] LOADDYN - Computational package for dynamic load modelling
    Lambert, G
    Moreira, H
    Pinto, A
    Franca, C
    Ferreira, C
    Pinto, RDR
    CONTROL OF POWER PLANTS AND POWER SYSTEMS (SIPOWER'95), 1996, : 251 - 256
  • [33] On The Impact Of Load Modelling On Distribution Network Studies
    Bletterie, Benoit
    Latif, Aadil
    Zehetbauer, Paul
    Martinez Villanueva, Sergio
    Romero-Ramos, Esther
    Renner, Herwig
    2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2017,
  • [34] Modelling household electricity load profiles based on Danish time-use survey data
    Foteinaki, Kyriaki
    Li, Rongling
    Rode, Carsten
    Andersen, Rune Korsholm
    ENERGY AND BUILDINGS, 2019, 202
  • [35] Load models for modeling dynamic behaviors of reactive loads: Evaluation and comparison
    Li, Yinhong
    Chiang, Hsiao-Dong
    Choi, Byoung-Kon
    Chen, Yung-Tien
    Huang, Der-Hua
    Lauby, Mark G.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2008, 30 (09) : 497 - 503
  • [36] Classification and Modelling of Loads in Power Systems using SVM and Optimization Approach
    Vignesh, V.
    Chakrabarti, S.
    Srivastava, S. C.
    2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
  • [37] Load Modelling Effects on Power System Inertia Response
    Rainey, M. J.
    Oyedokun, D. T. O.
    2020 IEEE PES & IAS POWERAFRICA CONFERENCE, 2020,
  • [38] The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane
    Urbas, Andrzej
    Augustynek, Krzysztof
    Martsenyuk, Vasyl
    PERSPECTIVES IN DYNAMICAL SYSTEMS I-APPLICATIONS, DSTA 2021, 2024, 453 : 559 - 569
  • [39] An experimental study on the load modelling using PMU measurements
    Vignesh, V.
    Chakrabarti, S.
    Srivastava, S. C.
    2014 IEEE PES T&D CONFERENCE AND EXPOSITION, 2014,
  • [40] Nonlinear dynamic load modelling: Model and parameter estimation
    Ju, P
    Handschin, E
    Karlsson, D
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (04) : 1689 - 1694