Smart multivariate techniques applied in the budget assignment for loss reduction in ecuador

Due to world economic situation, Electrical Distribution Utilities perform studies for automation and planning of distribution systems prioritizing their economic resources through projects related with technical, economic and social efficiency. During last years, Ecuadorian Electrical Sector has left aside determinant projects related with the efficiency, since there is not a good budget assignment. In this manner, energy losses in the distribution phase range around 13,30% and last inversion performed to mitigate those losses, during 2013 period, was about 25,8 millions of dollars. Thus, this paper present guideline for making decisions using a consistent statistics technique.

[1]  M. Poveda A new method to calculate power distribution losses in an environment of high unregistered loads , 1999, 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333).

[2]  Varin Chouvatut,et al.  Efficiency comparisons between k-centers and k-means algorithms , 2015, 2015 International Computer Science and Engineering Conference (ICSEC).

[3]  C. Hidalgo,et al.  Standard Levels of Energy Losses in Primary Distribution Circuits for SCADA Application , 2002, IEEE Power Engineering Review.

[4]  Francesco Battaglia,et al.  Outliers Detection in Multivariate Time Series by Independent Component Analysis , 2007, Neural Computation.

[5]  G. Cartina,et al.  An improved fuzzy method for energy losses evaluation in distribution networks , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

[6]  Sudarmono Sasmono,et al.  Macro Demand Spatial Approach (MDSA) combined with principal component analysis and qualitative analysis on spatial demand forecasting for main development area in transmission planning , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[7]  Fredrik Gustafsson,et al.  On nonlinear transformations of stochastic variables and its application to nonlinear filtering , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[8]  Tor Helleseth,et al.  Simplifying algebraic attacks with univariate analysis , 2011, 2011 Information Theory and Applications Workshop.