Reliability of the Power System dictates system adequacy and security. Generally, power system networks reliability is estimated based on its service availability from the customer's viewpoint of satisfaction. Parameters in this analysis interpret the service uptime and downtime frequencies, duration and count of affected customers, etc. Corresponding to these indices expected losses in terms of service, load, and revenues are estimated. But to work upon very fundamental issues for overall improvement of power system networks performance, assessment of systems effectiveness remains a rarely studied area. For example, although it is understood that a radial network configuration has low reliability, still major primary distribution structures and rural power distribution networks of (5KV -35KV) are mostly configured in radial structure only. Because it remarkably reduces the cost involved in network duplication especially the cost incurred for vital equipment. For this significant analysis, authors have extended the concept of Barringer for analysis of Dual generator fed radial power system networks Reliability, Availability, Maintainability, and Capability based Effectiveness (RAMCE) measure. This paper demonstrates here the technique for analysis of a Dual Generator set feeding to 5-load bus radial systems is considered here.

No abstract

Redundancy allocation (RA) is one of the important approaches to improve system reliability by incorporating generally s-identical and s-independent components. However in the presence of common cause failures (CCF), a rarely studied problem as Redundancy optimization, the optimized system reliability may be adversely affected. In this paper the effect of CCF on Reliability Optimization using Redundancy Allocation has been expedited. The paper is implemented in two steps. Step1 involves obtaining the optimized solution of the problem using existing techniques. In the next step, modifications are done to compute optimized system reliability under CCF. The optimized reliability expression is modified to depict the effect of CCF. The work is extended to complex network analysis & implicit method has been used to do this work. The adverse effect of CCF on system reliability has also been demonstrated quantitatively with the help of example.

No abstract

No abstract