By Topic

Extensions of power system early-warning defense schemes by integrating wide area meteorological information

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
$33 $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

5 Author(s)
Yunyun Xie ; School of Automation, Nanjing University of Science & Technology, Nanjing, China ; Yusheng Xue ; Jiahong Chen ; Haohao Wang
more authors

In order to cope with extreme natural disasters which appear more and more frequently, it is necessary to extend the data acquisition range from traditional electric quantity of power systems to macroscopic and microcosmic meteorology data, such as those on thunderstorm, typhoon, ice and snow, as well as pollution flashover, etc. Due to the mechanisms' differences, the data needed for early-warning might be different for various types of natural disasters. Taking thunderstorm as an example, this paper analyzes the mechanisms of natural disasters affecting power systems. The required data are discussed and an early-warning method is proposed based on data provided by a lighting location system. Firstly according to the proposed criteria, the thunder locations detected within the current interval are grouped into areas; secondly the results are matched with those of the previous interval; finally the most possible thunder areas can be estimated for the next several intervals. Unlike traditional models with annual average probability of thunder-striking faults, the proposed real-time probability model which considers real-time information is space dependent, as well as time dependent. Instead of being fixed, the list of preassigned faults to be on-line assessed is time varying. Thus, the task of online security analysis is adaptive and more efficient.

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on

Date of Conference:

6-9 July 2011