Title :
Stochastic Monitoring of Distribution Networks Including Correlated Input Variables
Author :
Valverde, Gustavo ; Saric, Andrija T. ; Terzija, Vladimir
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Liege, Belgium
Abstract :
The evolving complexity of distribution networks with higher levels of uncertainties is a new challenge faced by system operators. This paper introduces the use of Gaussian mixtures models as input variables in stochastic power flow studies and state estimation of distribution networks. These studies are relevant for the efficient exploitation of renewable energy sources and the secure operation of network assets.
Keywords :
Gaussian processes; Monte Carlo methods; distribution networks; least squares approximations; load flow; optimisation; power system measurement; power system security; power system state estimation; renewable energy sources; stochastic processes; 69-bus radial test system; Gaussian combination; Gaussian mixtures model; Monte Carlo simulation; distribution network; input variable correlation; network asset secure operation; optimization algorithm; renewable energy source; state estimation; stochastic monitoring; stochastic power flow study; weighted least square formulation; Approximation methods; Correlation; Input variables; Power demand; Probability density function; State estimation; Stochastic processes; Distributed power generation; load flow; power system measurements; probability distribution; random variables; state estimation; uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2201178
