Bus sensitivity to load-model parameters in load-flow studies

1987 ◽  
Vol 134 (4) ◽  
pp. 302 ◽  
Author(s):  
M.E. El-Hawary ◽  
L.G. Dias
Keyword(s):  
Load Flow ◽  
Model Parameters ◽  
Load Model

Review of Electric Load Modeling Research

2013 ◽  
Vol 811 ◽  
pp. 627-630 ◽  
Author(s):  
Xue Song Zhou ◽  
Huan Liang ◽  
You Jie Ma
Keyword(s):  
Voltage Stability ◽  
Transient Stability ◽  
Load Flow ◽  
Model Parameters ◽  
Model Structure ◽  
Electric Load ◽  
Structure Model ◽  
Load Modeling ◽  
Load Model ◽  
Model Research

The effect of load model on the analyses of load flow, transient stability, small disturbance stability and voltage stability is analyzed. The importance of the load modeling research is emphasized. The development of component-based method and measurement-based method is reviewed. The advances on the load model research including the select ion of load model structure, model parameters identification, load model with the voltage stability analysis and the sensitivity of load model to the transient stability is summarized.

scholarly journals Polynomial Load Model Development for Analysing Residential Electric Energy Use Behaviour

2018 ◽  
Vol 218 ◽  
pp. 01007 ◽  
Author(s):  
Erwin Nashrullah ◽  
Abdul Halim
Keyword(s):  
Energy Use ◽  
Mean Squared Error ◽  
Median Filter ◽  
Energy System ◽  
Least Square ◽  
Model Parameters ◽  
Data Sampling ◽  
Data Set ◽  
System Designer ◽  
Load Model

Analysing and simulating the dynamic behaviour of home power system as a part of community-based energy system needs load model of either aggregate or dis-aggregate power use. Moreover, in the context of home energy efficiency, development of specific and accurate residential load model can help system designer to develop a tool for reducing energy consumption effectively. In this paper, a new method for developing two types of residential polynomial load model is presented. In the research, computation technique of model parameters is provided based on median filter and least square estimation and implemented by MATLAB. We use AMPDs data set, which have 1-minute data sampling, to show the effectiveness of proposed method. After simulation is carried out, the performance evaluation of model is provided through exploring root mean-squared error between original data and model output. From simulation results, it could be concluded that proposed model is enough for helping system designer to analyse home power energy use.

Sign in / Sign up

Export Citation Format

Share Document