Feeder Automation based Strategy for Reliability Enhancement of Radial Distribution Systems

Nowadays, Feeder automation (FA) is the fastest growing trend among utilities to enhance the reliability of distribution networks. One of the main applications of feeder automation is automatic fault management (AFM). AFM function comprises sequential steps of fault detection, isolation and service restoration (FDISR) following a contingency in distribution networks. The allocation of automated protective devices such as circuit breakers, reclosers, remote-controlled switches, fault indicators speeds up the FDISR process. A high level of reliability is ensured by utilizing an appropriate combination of these devices but this is limited by cost constraints. Aiming to achieve an optimum reliability level, this paper presents an analytical model that incorporates protective devices, viz. reclosers (${R}$) and remote-controlled switches (RCS) at optimal positions of a radial distribution system. Cost worth analysis is utilized to develop the proposed model. Moreover, in the competitive restructuring and deregulated environment, the main aim of the utilities is to maximize their profit. The objective of the proposed model is developed from the utilities’ perspective, utilizing the profit-based optimization approach. The proposed model is tested on a 58-bus test system employing the mixed-integer non-linear programming (MINLP) optimization technique. Reliability indices have also been measured to explore the level of reliability enhancement achieved by automation. The simulation results have verified the practicality and relevance of the proposed approach in maximizing profit as well as in raising the reliability level.