Optimal Recloser Placement in Rural and Urban 11 kV Distribution Feeders of Nepal Based on Reliability and Cost–Benefit Analysis

Authors

  • Chij Bahadur Gurung Department of Electrical Engineering, IOE Pulchowk Campus, Tribhuvan University, Nepal
  • Basanta Kumar Gautam Department of Electrical Engineering, IOE Pulchowk Campus
  • Sochindra Kumar Ray Department of Electrical Engineering, IOE Pulchowk Campus

DOI:

https://doi.org/10.3126/jacem.v12i01.93957

Keywords:

Distribution reliability, Auto-recloser, Genetic Algorithm, SAIDI, EENS, Cost– benefit analysis

Abstract

Reliability improvement of distribution systems is a major concern for utilities in Nepal due to frequent interruptions in both rural and urban feeders. This study investigates the optimal placement of auto-reclosers in two practical 11 kV feeders: Feeder-4 (urban) under the Birgunj Distribution Center and the Khoplang feeder (rural) under the Gorkha Distribution Center. Base-case reliability indices (SAIFI, SAIDI, CAIDI, and EENS) were evaluated using analytical modeling and ETAP simulation. A Genetic Algorithm (GA)-based optimization framework was developed to minimize Expected Energy Not Supplied (EENS) and maximize economic benefits. The results indicate that 2 reclosers are optimal for the Feeder-4 (urban) feeder and 4 recloser for the Khoplang (rural) feeder. SAIDI and EENS were reduced by more than 55% in both feeders. Cost–benefit analysis yielded benefit–cost ratios greater than 2.0 and payback periods of less than four years, confirming economic feasibility.

Downloads

Download data is not yet available.
Abstract
42
pdf
41

Author Biographies

Basanta Kumar Gautam, Department of Electrical Engineering, IOE Pulchowk Campus

Associate Professor

Sochindra Kumar Ray, Department of Electrical Engineering, IOE Pulchowk Campus

Assistant Professor

Downloads

Published

2026-05-12

How to Cite

Gurung, C. B., Gautam, B. K., & Ray, S. K. (2026). Optimal Recloser Placement in Rural and Urban 11 kV Distribution Feeders of Nepal Based on Reliability and Cost–Benefit Analysis. Journal of Advanced College of Engineering and Management, 12(01), 457–468. https://doi.org/10.3126/jacem.v12i01.93957

Issue

Section

Articles