Title :
Parameter estimation of dynamic load model using field measurement data performed by OLTC operation
Author :
Guo, H. ; Rudion, K. ; Abildgaard, H. ; Komarnicki, P. ; Styczynski, Z.A.
Author_Institution :
Dept. of Eng. & Inf. Technol., Otto-von-Guericke-Univ., Magdeburg, Germany
Abstract :
An accurate representation of the dynamic behavior of an electrical load is very important for the analysis of power system operation regarding its stability characteristics, especially for voltage stability analysis. This paper presents the practical experience of dynamic load modeling using the real system measurement data. In order to capture the dynamic behavior of the power system on a load bus, a perturbation was introduced into the system by adjusting the transformer OLTC (on-load tap changer). That caused voltage changes in the network, and the resultant dynamic system response could be recorded by the power system monitoring devices. Before starting the load modeling process, the measurement data were preprocessed by a proposed DWT-based algorithm (Discrete Wavelet Transformation) to suppress the signal noises of the measurement data and, moreover, to make it more feasible to estimate the load model parameters. By performing the parameter optimization process, the parameters were then identified with the measurement data by NONLSQ technique (non-linear least square).
Keywords :
discrete wavelet transforms; interference suppression; parameter estimation; power system measurement; power system simulation; power system stability; NONLSQ technique; OLTC operation; discrete wavelet transformation; dynamic load modeling; electrical load; field measurement data; load model parameters; load modeling process; non-linear least square; parameter estimation; parameter optimization process; power system analysis; power system monitoring devices; real system measurement data; signal noises suppression; transformer on-load tap changer; voltage stability analysis; Data models; Load modeling; Mathematical model; Power measurement; Power system dynamics; Reactive power; Voltage measurement; Power system dynamic load modeling; discrete wavelet transformation; nonlinear least square optimization; parameter estimation;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345563