Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

Abstract:

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 2381-2386
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.2381
• Online since: February 2013
• Authors: Wen Xia Liu, Ji Kai Xu, Hong Yuan Jiang, Yong Tao Shen
• Keywords: Failure Rate, Power System, Principal Component Regression, Reliability Parameters, Transmission Line

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