Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Employment of power transfer distribution factor for the optimal placement of FACTS devices

Sookananta, B. and Galloway, S.J. and Burt, G.M. and Mcdonald, J.R. (2008) Employment of power transfer distribution factor for the optimal placement of FACTS devices. In: Proceedings of the International Power Engineering Conference, 2007. IEEE, pp. 569-573. ISBN 978-981-05-9423-7

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper presents a method for determination of the optimal placement and sizing of FACTS device. The objective considered is to maximize the available transfer capability (ATC) of heavy transaction zones. Generally, ATC calculation is recursive and consequently time consuming. In this paper the power transfer distribution factor (PTDF) is used for fast calculation of the ATC. The method is modified to include losses and subsequently, the FACTS placement problem is solved using a genetic algorithm to obtain the least loss at the maximum ATC. For the purpose of comparison the ATC is also calculated using the repeated power flows method. This paper shows that the PTDF method is both computational more efficient and provides a sufficient degree of solution accuracy.