A time-varying transformer outage model for on-line operational risk assessment

作者：Ning Liaoyi; Wu Wenchuan^*; Zhang Boming; Zhang Pei

来源：International Journal of Electrical Power & Energy Systems, 2011, 33(3): 600-607.

DOI：10.1016/j.ijepes.2010.12.016

• Operational risk assessment
• Time-varying outage model
• Delayed semi-Markov process
• Failure rate

The failure probabilities of system components may vary with changes in the operating conditions. Performing a probabilistic risk assessment in real-time is challenging, since component failure probabilities are difficult to predict. Accordingly, this paper introduces a delayed semi-Markov process that incorporates real-time data from advanced sensors, as a means of efficiently calculating time-varying or condition-based failure probabilities. To demonstrate the feasibility of the procedure, a time-varying transformer outage model with numerical examples is presented. In the proposed technique, an analytic random model is developed to accommodate the impact of real-time dissolved gas analysis data, as well as other conditions pertaining to the failure probabilities of system components.

• 出版日期2011-3
• 单位清华大学; 中国电力科学研究院