DocumentCode :
3091874
Title :
Risk assessment for power system static security based on fuzzy modeling of weather conditions
Author :
Chen, Xi ; Wu, Yaowu ; Lou, Suhua
Author_Institution :
Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
1
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
367
Lastpage :
371
Abstract :
The fuzziness of weather conditions and boundaries between neighboring climatic regions exerts a great influence on the modeling of failure rates of overhead lines. This paper introduces the failure rate multiplier (FRM) to reckon in the weather impact and establishes a fuzzy inference system with load of wind (LW) and load of icing (LI) as the input logic variables. On this basis, the FRM and thus the time-varying failure rate are obtained through the Mamdani´s min-max-centroid method. Then, the time-varying restoration time and failure rate are used to simulate the situation in which a line traverses several climatic regions considering fuzzy boundaries. Finally, the weather-related failure rate and restoration time are applied to risk assessment for power system static security. Simulation results on the New England 39-bus test system demonstrate the necessity of incorporating weather factors into risk assessment, and prove the feasibility and effectiveness of the proposed method.
Keywords :
fuzzy reasoning; minimax techniques; power overhead lines; power system security; risk management; Mamdani min-max-centroid method; New England 39-bus test system; failure rate multiplier; fuzzy inference system; fuzzy modeling; load of icing; load of wind; neighboring climatic regions; overhead lines; power system static security; risk assessment; time-varying failure rate; time-varying restoration time; weather conditions; Meteorology; Power system reliability; Power transmission lines; Reliability; Risk management; Security; fuzzy inference; risk; static security; weather conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6134876
Filename :
6134876
Link To Document :
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