scholarly journals Measurement-based Estimation of the Composite Load Model Parameters

2012 ◽  
Vol 7 (6) ◽  
pp. 845-851 ◽  
Author(s):  
Byoung-Ho Kim ◽  
Hong-Rae Kim
Keyword(s):  
Model Parameters ◽  
Load Model ◽  
Composite Load Model

Fast and Reliable Estimation of Composite Load Model Parameters Using Analytical Similarity of Parameter Sensitivity

2016 ◽  
Vol 31 (1) ◽  
pp. 663-671 ◽  
Author(s):  
Jae-Kyeong Kim ◽  
Kyungsung An ◽  
Jin Ma ◽  
Jeonghoon Shin ◽  
Kyung-Bin Song ◽  
...  
Keyword(s):  
Parameter Sensitivity ◽  
Model Parameters ◽  
Load Model ◽  
Reliable Estimation ◽  
Composite Load Model

scholarly journals Composite Load Model Evaluation

2007 ◽  
Author(s):  
Ning Lu ◽  
Hong Qiao
Keyword(s):  
Model Evaluation ◽  
Load Model ◽  
Composite Load Model

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.

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