An analytical methodology for operational reliability evaluation of composite power systems
Conference Paper
Overview
Identity
View All
Overview
abstract
Usually, long-term reliability evaluation is implemented in power systems for applications such as planning. Nowadays, short-term or operational reliability evaluation is gaining attention due to some emerging applications, e.g. electricity markets, impact of extreme weather, and integration of intermittent renewable energy sources. Some methods, analytical as well as simulation, have been proposed in the past to evaluate the short-term reliability of power systems. This paper proposes a simple analytical methodology to evaluate the reliability performance of composite power systems during a short period of time. In the proposed approach minimal cut-set method is used to calculate the time-specific reliability indices of composite power systems. Here, both system and nodal indices are calculated, and the common-cause failures (CCF) of system components are also considered. The proposed methodology is applied to the modified IEEE Reliability Test System (RTS) to investigate the impact of hurricanes on the reliability of composite power systems. The implementation demonstrates that the proposed methodology is effective, efficient and is flexible in its applications.