Under-determined WLMS state estimation

Krause, Olav, Martin, Daniel and Lehnhoff, Sebastian (2015). Under-determined WLMS state estimation. In: Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, QLD, Australia, (). 15-18 November 2015. doi:10.1109/APPEEC.2015.7381069

Author Krause, Olav
Martin, Daniel
Lehnhoff, Sebastian
Title of paper Under-determined WLMS state estimation
Conference name IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
Conference location Brisbane, QLD, Australia
Conference dates 15-18 November 2015
Convener IEEE
Proceedings title Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
Journal name Asia-Pacific Power and Energy Engineering Conference, APPEEC
Place of Publication Piscataway, NJ, United States
Publisher IEEE (Institute of Electrical and Electronic Engineers)
Publication Year 2015
Sub-type Fully published paper
DOI 10.1109/APPEEC.2015.7381069
Open Access Status Not Open Access
ISBN 9781467381321
ISSN 2157-4847
Volume 2016-January
Total pages 5
Collection year 2016
Language eng
Abstract/Summary A limitation faced by the utilities when monitoring the voltages and power flow, i.e. its state, in their distribution system is that metering is expensive to install and maintain. Thus, mathematical methods to calculate the state of the network from minimal measurements are highly desirable. This paper presents a modification of the traditional technique to estimate the static state of a power system, improving its robustness to measurement deficiency. A significant improvement to the traditional technique it the elimination of the requirement that the monitored power system's state must be fully observable. The technique is applied in two stages. Firstly, a Newton iteration, which uses singular value decomposition to generate the Moore-Penrose inverse of the input's Jacobian matrix. Secondly, an analytic sensitivity analysis determining the observability of variables calculated from the partially observable system state.
Keyword Power system
State estimation
Observability analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Fri, 22 Jan 2016, 09:27:52 EST by Dr Olav Krause on behalf of School of Information Technol and Elec Engineering