Real-Time Selection of Dynamic Load Model Parameters Based on Multiple Linear Regression

doi:10.3969/j.issn.1000-565X.2016.02.016

Abstract

Abstract: This paper analyzes the factors influencing the load model parameters and proposes a real-time selection method of dynamic load model parameters based on the multiple linear regression.In the investigation,first,all historical load disturbance data measured in a certain duration are identified to obtain the load model parameters,and the identified parameters are used to construct a model parameter database that is further classified into three sub-databases respectively corresponding to small,common and large disturbances.Then,the parameters matching the real-time operation condition best are found from the sub-databases with correct disturbance type and the fitting accuracy is further analyzed.Finally,the effectiveness and accuracy of the proposed method are verified with the field measurement data collected from two substations in a metropolitan area in China.

Key words: dynamic load model, time-variability, multiple linear regression, voltage oscillation magnitude, disturbance, fitting accuracy

HUANG Yu-long LIU Ming-bo CHEN Xun. Real-Time Selection of Dynamic Load Model Parameters Based on Multiple Linear Regression[J]. Journal of South China University of Technology (Natural Science Edition), 2016, 44(2): 107-116.

References

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