University of Tasmania
Browse
105795.pdf (690.11 kB)

An observability index for distribution networks using information entropy

Download (690.11 kB)
conference contribution
posted on 2023-05-23, 10:45 authored by Bernd BrinkmannBernd Brinkmann, Michael NegnevitskyMichael Negnevitsky, Yee, T, Nguyen, T
Information about the accuracy of state estimation results in distribution networks is crucial for an effective and safe network management. This paper explores a new method of quantifying the uncertainty of a state estimation result by using information entropy as an index for observability. This index has the ability to represent the network observability as a single continuous number, making it possible for the network operator to objectively evaluate the reliability of a state estimation result. This paper also investigates the changes in observability due to load variations and demonstrates how an optimal meter placement method based on the proposed observability index can be implemented. The proposed method has been tested via simulations on a modified IEEE 34 Bus Test Feeder and was compared with an existing method.

History

Publication title

2015 Australasian Universities Power Engineering Conference (AUPEC)

Pagination

1-6

ISBN

978-1-4799-8725-2

Department/School

School of Engineering

Publisher

IEEE-Inst Electrical Electronics Engineers Inc

Place of publication

New Jersey, USA

Event title

2015 Australasian Universities Power Engineering Conference (AUPEC)

Event Venue

Wollongong, NSW

Date of Event (Start Date)

2015-09-27

Date of Event (End Date)

2015-09-30

Rights statement

Copyright 2015 IEEE

Repository Status

  • Open

Socio-economic Objectives

Energy services and utilities

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC