eCite Digital Repository

Probabilistic State Estimation in Distribution Networks

Citation

Brinkmann, B and Negnevitsky, M, Probabilistic State Estimation in Distribution Networks, Advances in Electric Power and Energy: Static State Estimation, Wiley-IEEE Press, ME El-Hawary (ed), United Kingdom, pp. 297-328. ISBN 9781119480464 (2021) [Research Book Chapter]

Copyright Statement

Copyright 2021 The Institute of Electrical and Electronics Engineers, Inc

Official URL: https://www.wiley.com/en-br/Advances+in+Electric+P...

Abstract

State estimation is a procedure that can be used to obtain an estimate of the network state by processing the available set of measurements. The state of a network is commonly defined as the voltage magnitude and angle at every bus. Other parameters in the network such as power flows and currents can be calculated from the network state. The information provided by the state estimation is used to assess the network security, to analyze contingencies, and to make decisions on required control actions. The concept of applying state estimation to power systems was developed around 1970 [1]. Since then state estimation has become a routine task in transmission systems. Over time a large number of redundant measurement devices were installed throughout transmission networks, and accurate network models have been developed. As a result, it is usually possible to estimate the state of a transmission network with a high degree of accuracy.

Item Details

Item Type:Research Book Chapter
Keywords:electricity supply, distrribution networks, state estimation
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:Brinkmann, B (Mr Bernd Brinkmann)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:142984
Year Published:2021
Deposited By:Engineering
Deposited On:2021-02-18
Last Modified:2021-05-06
Downloads:0

Repository Staff Only: item control page