A Bayesian approach for short-term transmission line thermal overload risk assessment

IEEE Transactions on Power Delivery - Tập 17 Số 3 - Trang 770-778 - 2002
Jun Zhang1, Jian Pu1, J.D. McCalley1, H. Stern2, W.A. Gallus3
1Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA
2Department of Statistics, Iowa State University, Ames, IA USA
3Department of Geological and Atmospheric Science, Iowa State University, Ames, IA, USA

Tóm tắt

An on-line conductor thermal overload risk assessment method is presented in this paper. Bayesian time series models are used to model weather conditions along the transmission lines. An estimate of the thermal overload risk is obtained by Monte Carlo (MC) simulation. We predict the thermal overload risk for the next hour based on the current weather conditions and power system operating conditions. The predicted risk of thermal overload is useful for on-line decision making in a stressed operational environment.

Từ khóa

#Bayesian methods #Transmission lines #Risk management #Power system modeling #Power transmission lines #Weather forecasting #Power system simulation #Conductors #Thermal conductivity #Monte Carlo methods

Tài liệu tham khảo

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