Abstract
This paper proposes a new method for power transmission risk assessment considering historical failure statistics of transmission systems and operation failure risks of system components. Component failure risks are integrated into the new method based on operational condition assessment of components using the support vector data description (SVDD) approach. The traditional outage probability model of transmission lines has been modified to build a new framework for power transmission system risk assessment. The proposed SVDD approach can provide a suitable mechanism to map component assessment grades to failure risks based on probabilistic behaviors of power system failures. Under the new method, both up-to-date component failure risks and traditional system risk indices can be processed with the proposed outage model. As a result, component failure probabilities are not only related to historical statistic data but also operational data of components, and derived risk indices can reflect current operational conditions of components. In simulation studies, the SVDD approach is employed to evaluate component conditions and link such conditions to failure rates using up-to-date component operational data, including both on-line and off-line data of components. The IEEE 24-bus RTS-1979 system is used to demonstrate that component operational conditions can greatly affect the overall transmission system failure risks.
Highlights
With the continuous increase of energy demand, the accurate risk assessment of power systems is of great importance, since risks are increased when a power system is operated close to its stability limits due to distributed generation and market competition
Only historical failure statistics are employed in power system risk assessment, the overall system risk is related to component operational conditions
The objective of this paper is to develop a new risk assessment method for power transmission systems, in which component conditions are considered based on on-line and offline data
Summary
With the continuous increase of energy demand, the accurate risk assessment of power systems is of great importance, since risks are increased when a power system is operated close to its stability limits due to distributed generation and market competition. A widely used framework for power system risk assessment was reported in [1, 2], in which the approach, objective, application and economic cost were discussed in detail [3] In this traditional framework, failure risks of components, such as transformers and circuit breakers, were not considered. As the component failure probability changes, the results of risk assessment are not fixed values as those of traditional risk assessment models [1], which should be determined by both operational conditions and historical data. The objective of this paper is to develop a new risk assessment method for power transmission systems, in which component conditions are considered based on on-line and offline data. The proposed method employs SVDD for component risk assessment and the Monte Carlo (MC) simulation [1] for system state selections
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
