Distribution system reliability cost/worth analysis using analytical and sequential simulation techniques

R. Billinton, P. Wang

IEEE Transactions on Power Systems · 1998 · 206 citations · 11 references

Concepts

TL;DR

Increasing demand for cost‑reliability justification and customer interruption cost analysis drives the need for reliable distribution system assessment. The study aims to evaluate customer interruption cost in complex radial distribution systems using a generalized analytical approach and a time‑sequential Monte Carlo simulation. The authors develop a generalized analytical model and a time‑sequential Monte Carlo simulation, applying them to two practical radial distribution systems and examining the impact of alternate supply and protection devices on customer interruption cost indices. Analytical results using average restoration times were compared to time‑sequential simulation outcomes with random restoration times, highlighting differences in customer interruption cost estimates.

Abstract

The requirements for extensive justification of new facilities and emphasis on the optimization of system cost and reliability are steadily increasing. Customer interruption cost analysis provides valuable input to electric power supply reliability worth assessment. This paper presents both a generalized analytical approach and a time sequential Monte Carlo simulation technique for evaluating the customer interruption cost in complex radial distribution systems. Studies are conducted on two practical distribution systems. The results obtained using the analytical technique incorporating average restoration times are compared with those obtained using the time sequential simulation method and random restoration times. The effects on customer interruption cost indices associated with alternate supply and protection devices are also considered.

References

11