Title :
Energy loss estimation in distribution networks using stochastic simulation
Author :
Zahra Mahmoodzadeh;Niloofar Ghanbari;Ali Mehrizi-Sani;Mehdi Ehsan
Author_Institution :
School of Electrical Engineering and Computer Science, Washington State University, Pullman, 99164, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper presents an improved stochastic simulation method for calculating current dependent energy losses in distribution networks. The method is based on power load curves and integrates the stochastic nature of the load curves with power and voltage covariance matrices. The method reduces calculation effort using the factor analysis of covariance matrices and provides a few quantities needed to calculate energy losses. The method has no limitation for network configuration and gives accurate results several times faster than other existing methods. Therefore, it is appropriate for considering losses in optimization and decision making purposes in operating and planning of distribution networks.
Keywords :
"Energy loss","Covariance matrices","Jacobian matrices","Mathematical model","Eigenvalues and eigenfunctions","Accuracy","Power systems"
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
DOI :
10.1109/PESGM.2015.7286219