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Abstract

We study the problem of state estimating in the networks with distributed generation. Traditional state estimation methods provide the expected value of the estimated parameters. We consider the parameters of the system as random variables and study probability that voltage magnitudes belong to admissible set of values. We show that for large number of nodes we can apply central limit theorem and approximate the sought probability.

Item Type:	Conference Publication
Authors/Creators:	Georgiev, G and Kim, D and Negnevitsky, M
Keywords:	state estimation of energy system, distribution generation, distribution networks, voltage constrains, central limit theorem, probablistic approach
Journal or Publication Title:	Proceedings of the 10th International Scientific Symposium on Electrical Power Engineering
Publisher:	Technical University of Kosice
Copyright Information:	Copyright 2019 Elsevier
Related URLs:	Google Scholar: Negnevitsky, M UTAS Profile: Negnevitsky, M
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