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
  • [21] AN AGGREGATE ANALYTICAL LOAD MODEL WITH VOLTAGE DEPENDANT CHARACTERISTICS
    Georgiev, Georgi
    Zicmane, Inga
    Antonov, Eduard
    Kovalenko, Sergejs
    ELECTRICAL AND CONTROL TECHNOLOGIES, 2011, : 196 - +
  • [22] Measurement-based ZIP load modelling using opposition based differential evolution optimization
    Kumar, Abhinav
    Mallik, Sanjeev Kumar
    ENGINEERING RESEARCH EXPRESS, 2023, 5 (03):
  • [23] Modelling Aggregated Load with Distributed Generation by Exponential Load Model
    Leinakse, Madis
    2021 IEEE 62ND INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2021,
  • [24] Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners
    Bai, Feifei
    Yan, Ruifeng
    Saha, Tapan Kumar
    Cui, Yi
    Pan, Zicheng
    IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 897 - 900
  • [25] A novel RNN based load modelling method with measurement data in active distribution system
    Zheng, Chao
    Wang, Shaorong
    Liu, Yilu
    Liu, Chengxi
    ELECTRIC POWER SYSTEMS RESEARCH, 2019, 166 : 112 - 124
  • [26] Teaching fundamentals of measurement-based load modelling approach through practical examples
    Korunovic, L. M.
    INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 2012, 49 (02) : 157 - 169
  • [27] Extrapolation of excavator main pump load spectrum based on threshold selection for principal component analysis
    Chen J.-S.
    Zhang M.-M.
    Wang P.-C.
    Geng D.-N.
    Wang Y.-X.
    Zhang Z.-W.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2023, 53 (02): : 355 - 363
  • [28] Design and modelling of thermostatically controlled loads as frequency controlled reserve
    Xu, Z.
    Ostergaard, J.
    Togeby, M.
    Marcus-Moller, C.
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 3342 - 3347
  • [29] 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
  • [30] Shock load modelling in the anaerobic digestion process
    MarsiliLibelli, S
    Beni, S
    ECOLOGICAL MODELLING, 1996, 84 (1-3) : 215 - 232