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Probabilistic approximation of voltage values for power distribution network with large number of nodes and solar generation

Citation

Georgiev, G and Kim, D and Negnevitsky, M, Probabilistic approximation of voltage values for power distribution network with large number of nodes and solar generation, Proceedings of the 10th International Scientific Symposium on Electrical Power Engineering, 16-18 September 2019, Stara Lesna, Slovakia, pp. 53-57. ISBN 9781510888715 (2019) [Refereed Conference Paper]

Copyright Statement

Copyright 2019 Elsevier

Official URL: https://www.scopus.com/record/display.uri?eid=2-s2...

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 Details

Item Type:Refereed Conference Paper
Keywords:state estimation of energy system, distribution generation, distribution networks, voltage constrains, central limit theorem, probablistic approach
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Energy Conservation and Efficiency
Objective Field:Industrial Energy Conservation and Efficiency
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:137459
Year Published:2019
Deposited By:Engineering
Deposited On:2020-02-14
Last Modified:2020-04-09
Downloads:0

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