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Probabilistic approach to state estimation in electricity networks with distributed generation

Citation

Georgiev, G and Kim, D and Negnevitsky, M, Probabilistic approach to state estimation in electricity networks with distributed generation, Proceedings of the 10th International Scientific Symposium on Electrical Power Engineering, 16-18 September 2019, Stara Lesna, Slovakia, pp. 58-61. 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 behavior of low voltage networks parameters during period of time. It is supposed that some parameters of the networks are random processes and the problem is to investigate the probability if the voltages satisfy some constraints during period of time. We use known probabilistic results and reduce this problem to the solution of partial differential equation. The numerical example is given at the end of the work.

Item Details

Item Type:Refereed Conference Paper
Keywords:distribution generation, distribution networks, voltage constrains, state estimation, probablistic approach, partial differential equations
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy efficiency
Objective Field:Industrial energy efficiency
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:137460
Year Published:2019
Deposited By:Engineering
Deposited On:2020-02-14
Last Modified:2021-01-06
Downloads:0

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