Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Probabilistic assessment of voltage control zones and visualization using choropleth map

Lookup NU author(s): Varvara Alimisi, Professor Phil Taylor

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

© 2017 IEEE. Voltage control zones are commonly used within power systems, for applications like Secondary Voltage Control and localized reactive power markets. The idea is to partition a power system into zones that are weakly coupled in terms of voltage control. Conventionally, these control zones are defined with a deterministic approach and are fixed. However, recent research has demonstrated that they may be altered due to variation of the network structure and therefore suggested on-line reconfiguration of the zones. This paper goes a further step to probabilistically asses how the zoning could be affected by the uncertainties of operating condition (i.e., how the zones vary within a certain amount of time). Forced network outage, as the uncertain factor that affects the electrical distance between buses, is modeled in a realistic manner. Choropleth map is used to visualize the results. The 39-bus New England Test System (NETS) is used for demonstration.

Publication metadata

Author(s): Guo T, Alimisis V, Milanovic JV, Taylor PC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: PowerTech 2017

Year of Conference: 2017

Online publication date: 20/07/2017

Acceptance date: 02/04/2016

Publisher: IEEE

URL: https://doi.org/10.1109/PTC.2017.7981217

DOI: 10.1109/PTC.2017.7981217

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509042371

Share