Extension of power system early-warning defense schemes by integrating typhoon information

Y. J. Wu, Y. S. Xue, H. H. Wang, Y. Y. Xie, F. Xue, F. S. Wen, Z. Y. Dong

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Typhoon disasters usually cause faults to power grids, such as broken lines, collapsed towers, wind age yaw flashover and so on. In severe situations, they may result in group-occurring faults and lead blackout to power systems. As a result, it is very necessary to extend the power system early-warning defense schemes, from the traditionally general anticipated fault set to group-occurring faults caused by extreme external disasters. After reviewing the operation status and defense measures of power system under typhoon hazards, current situation of typhoon forecasting and the characteristics of typhoon disasters, a method to predict the failure probability of transmission lines under the typhoon disasters based on the investigation of ways and mechanisms of typhoon disasters that affect the power system is proposed in this paper. Firstly, transmission lines are classified by their geographic features and environmental characteristics based on the geographic information, then their dynamic variables are evaluated, including the length of lines in the wind circles, lasting time, average rainfall and so on. Secondly, wind speed and wind direction can be computed on the basis of typhoon forecast information, and are revised in the light of the particular geographic features and environmental characteristics. In order to calculate the probability of broken lines, collapsed towers, windage yaw flashover and lines covered by foreign bodies, the probability models are developed in term of fuzzy mathematics. Finally, the failure probability of the entire transmission line can be attained by making use of the computed probability of the classified lines. According to the probability, all lines whose failure probabilities are larger than the threshold value are selected out. And then these information data are applied to the risk set of the facilities of the Wide ARea Monitoring Analysis Protection and control system (WARMAP).
Original languageEnglish
Title of host publicationInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012
Volume2012
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012 - Hangzhou, China
Duration: 8 Sept 20129 Sept 2012

Publication series

NameIET Conference Publications
Volume2012

Conference

ConferenceInternational Conference on Sustainable Power Generation and Supply, SUPERGEN 2012
PlaceChina
CityHangzhou
Period8/09/129/09/12

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work is jointly supported by National Science Foundation of China (No. 91024028), State 863 Project (No. 2011AA05A105), State Grid Corporation of China (No. SG10&SG11), Hong Kong RGC Grant (5151/10E), Australia ARC (DP120101345), and Natural Science Foundation of Jiangsu Province (BK2011137).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Data acquisition
  • Early-warning defense
  • Failure probability
  • Fuzzy modeling
  • Typhoon

RGC Funding Information

  • RGC-funded

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