@article{Singh:2010:10.1049/iet-gtd.2009.0167,
author = {Singh, R and Pal, BC and Jabr, RA},
doi = {10.1049/iet-gtd.2009.0167},
journal = {IET Generation, Transmission and Distribution},
pages = {50--59},
title = {Distribution System State Estimation Through Gaussian Mixture Model of the Load as Pseudo Measurement},
url = {http://dx.doi.org/10.1049/iet-gtd.2009.0167},
volume = {4},
year = {2010}
}

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TY  - JOUR
AB  - This study presents an approach to utilise the loads as pseudo-measurements for the purpose of  distribution system state estimation (DSSE). The load probability density function (pdf) in the distribution  network shows a number of variations at different nodes and cannot be represented by any specific  distribution. The approach presented in this study represents all the load pdfs through the Gaussian mixture  model (GMM). The expectation maximisation (EM) algorithm is used to obtain the parameters of the mixture  components. The standard weighted least squares (WLS) algorithm utilises these load models as pseudomeasurements.  The effectiveness of WLS is assessed through some statistical measures such as bias,  consistency and quality of the estimates in a 95-bus generic distribution network model.
AU  - Singh,R
AU  - Pal,BC
AU  - Jabr,RA
DO  - 10.1049/iet-gtd.2009.0167
EP  - 59
PY  - 2010///
SP  - 50
TI  - Distribution System State Estimation Through Gaussian Mixture Model of the Load as Pseudo Measurement
T2  - IET Generation, Transmission and Distribution
UR  - http://dx.doi.org/10.1049/iet-gtd.2009.0167
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5357360&isnumber=5357355
VL  - 4
ER  - 

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