DocumentCode :
2670575
Title :
Evaluation of Hurricane Impact on Failure Rate of Transmission Lines Using Fuzzy Expert System
Author :
Liu, Yong ; Singh, Chanan
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2009
fDate :
8-12 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Adverse weather, such as hurricanes, can have severe effects on power system reliability. Incorporating weather effects in power system reliability evaluation has drawn more and more attention in recent years. In past decades, many methods have been proposed to evaluate power system reliability considering weather effects. Some of the earliest methods used the two-state weather model. These have been later expanded into multi-state weather model, regional weather model (RWM) and statistical regression method. In this paper, a fuzzy expert system (FES) is proposed and is combined with RWM to assess hurricane impact on the reliability parameters of transmission lines. Firstly, according to the computation requirements the composite system is partitioned into different regions. Then, the FES maps the nonlinear relationship between the hurricane parameters (indicator of hurricane severity) and the increment multipliers of failure rates (IMFR) of the transmission lines in different regions. In this step, the possible case that transmission lines traverse adjacent regions is investigated by using weighted average method (WAM). Finally, the results obtained by using the proposed method can be used in analytical or simulation method to evaluate composite system reliability considering hurricane impact. The proposed method is applied to the IEEE reliability test system (RTS). The implementation demonstrates that the proposed method is effective and efficient and the FES is convenient to construct.
Keywords :
expert systems; power transmission lines; power transmission reliability; regression analysis; storms; IEEE reliability test system; adverse weather; failure rate; fuzzy expert system; hurricane impact; hurricane severity; multistate weather model; power system reliability; regional weather model; statistical regression; transmission lines; Analytical models; Hurricanes; Hybrid intelligent systems; Interconnected systems; Power system modeling; Power system reliability; Power transmission lines; Transmission lines; USA Councils; Weather forecasting; Adverse weather; IEEE RTS; composite system reliability; fuzzy expert system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
Type :
conf
DOI :
10.1109/ISAP.2009.5352846
Filename :
5352846
Link To Document :
بازگشت