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author:

Shao, Zhenguo (Shao, Zhenguo.) [1] (Scholars:邵振国) | Lin, Zhimin (Lin, Zhimin.) [2] | Lin, Han (Lin, Han.) [3] | Huang, Daoshan (Huang, Daoshan.) [4]

Indexed by:

EI Scopus PKU CSCD

Abstract:

The operation of a power system will inevitably be influenced by a variety of natural disasters, e.g. typhoon and forest fire. These disasters will dramatically change the operating environment of a power system and increase the occurrence probability of some specific faults. It is important to make use of the disaster's forecasting information by combining the current operating state of the network and some important components, to make security analysis and risk evaluation, so as to establish the forewarning mechanism, emergency response mechanism, rapid post-disaster restoration and reconstruction mechanism in case of a natural disaster. As the security degree is measured by estimating the influence of contingencies on the power system, the predictive contingency set has a direct influence on the security evaluation results and control strategy. The contingency selection and its ranking method according to particular natural disaster forecasting information are discussed. It is expected to help achieve on-line security forewarning and adjust the pre-decision of dispatching according to the development of the specific disaster.

Keyword:

Electric load forecasting Electric power system protection Security systems Standby power systems

Community:

  • [ 1 ] [Shao, Zhenguo]Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Lin, Zhimin]Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Lin, Zhimin]Fujian Electric Power Company Ltd., Fuzhou 350003, China
  • [ 4 ] [Lin, Han]Fujian Electric Power Company Ltd., Fuzhou 350003, China
  • [ 5 ] [Huang, Daoshan]Fujian Electric Power Testing and Research Institute, Fuzhou 350007, China

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Source :

Automation of Electric Power Systems

ISSN: 1000-1026

CN: 32-1180/TP

Year: 2008

Issue: 7

Volume: 32

Page: 15-18

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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