NDLI: The online security forewarning of power system in allusion to specific natural disasters

Content Provider	IEEE Xplore Digital Library
Author	Shao Zhenguo Huang Daoshan Lin Han Kang Jian
Copyright Year	2008
Description	Author affiliation: Southeast Univ., Nanjing (Shao Zhenguo; Huang Daoshan; Lin Han; Kang Jian)
Abstract	The operation of power system will inevitably be influenced by a variety of natural disasters (e.g., typhoon, forest fire). Those disasters will dramatically change the operating environment of power system and increase probability of the occurrence of specifically faults. It is important to make use of disaster forecast inform to make safe analyses and risk evaluation and establish early warning mechanism, emergency response mechanism, rapid post-disaster restoration and reconstruction mechanism of natural disaster. The probability of unit fault will seriously increase in the process of natural disaster. As the security is measured by estimating the influence on the power system caused by contingency, contingency set in safe-evaluating will have a direct influence on state evaluation results and control strategy option. The contingency constructing, filtering, ranking method according to particular natural disaster forecasting information is discussed in this paper. It will help to achieve on-line security forewarning in power system and make it useful to make the pre-decision of dispatching according to the development of specific disasters.
Starting Page	199
Ending Page	203
File Size	538564
Page Count	5
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	DRPT
Subject Keyword	Power system security Power system faults Power system analysis computing Power system restoration Information security Typhoons Fires Risk analysis Power measurement State estimation Precaution control Disaster evaluation Contingency Safety analysis
Content Type	Text
Resource Type	Article

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