Cart (Loading....) | Create Account
Close category search window
 

Optimal PMU placement evaluation for power system dynamic state estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jinghe Zhang ; Dept. of Comput. Sci., Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA ; Welch, G. ; Bishop, G. ; Zhenyu Huang

The synchronized phasor measurement unit (PMU), developed in the 1980s, is considered to be one of the most important devices in the future of power systems. The recent development of PMU technology provides high-speed, precisely synchronized sensor data, which has been found to be useful for dynamic state estimation of the power grid. While PMU measurements currently cover fewer than 1% of the nodes in the U.S. power grid, the power industry has gained the momentum to advance the technology and install more units. However, with limited resources, the installation must be selective. Previous PMU placement research has focused primarily on network topology, with the goal of finding configurations that achieve full network observability with a minimum number of PMUs. Recently we introduced an approach that utilizes stochastic models of the signals and measurements, to characterize the observability and corresponding uncertainty of power system static states (bus voltage magnitudes and phase angles), for any given configuration of PMUs. Here we present a new approach to designing optimal PMU placement according to estimation uncertainties of the dynamic states. We hope the approach can provide planning engineers with a new tool to help in choosing between PMU placement alternatives.

Published in:

Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES

Date of Conference:

11-13 Oct. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.