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.

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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

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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

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Articles