Optimal network reconfiguration and distributed generation integration for power loss minimization and voltage profile enhancement in radial distribution system

Authors

  • Naresh Manandhar Department of Mechanical and Aerospace Engineering, Pulchwok Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal
  • Shree Raj Shakya Department of Mechanical and Aerospace Engineering, Pulchwok Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal
  • Sudip Bhattrai Department of Mechanical and Aerospace Engineering, Pulchwok Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal

DOI:

https://doi.org/10.3126/jiee.v6i1.48006

Keywords:

Network Reconfiguration, Distributed Generation, Backward/Forward Propagation Power Flow,Voltage Stability Index, Artificial Bee Colony,

Abstract

Network Reconfiguration with Distributed Generation (DG) integration can significantly minimize the power loss and enhance the voltage profile.  This paper presents power loss minimization and voltage profile enhancement measures in radial distribution systems through optimal network reconfiguration and DG integration. Initially, the approach was tested in a standard IEEE 33-Bus system in MATLAB using the Backward/Forward Propagation Power Flow method. Voltage Stability Index (VSI) was used to determine the candidate bus to locate for DG integration. Artificial Bee Colony (ABC) algorithm was used to find the optimal solution. Six different scenarios for network reconfiguration and DG integration were analysed by using the real distribution network of the Nepal Electricity Authority (NEA), Kirtipur Distribution Center. The simulated results were compared with the base case scenario and were validated with similar results from the previous studies. Among them, Scenario VI (simultaneous network reconfiguration and DG integration) gave a most favorable result in terms of power loss minimization and voltage profile enhancement. Test results in this study show that the active power loss has reduced by 72.19% and 57.69% for IEEE 33-Bus system and NEA 63-Bus system respectively. It also showed that ABC algorithm has outperformed other popular metaheuristic algorithms.

Downloads

Download data is not yet available.
Abstract
38
Pdf
32

Downloads

Published

2023-12-30

How to Cite

Naresh Manandhar, Shree Raj Shakya, & Sudip Bhattrai. (2023). Optimal network reconfiguration and distributed generation integration for power loss minimization and voltage profile enhancement in radial distribution system . Journal of Innovations in Engineering Education, 6(1), 154–163. https://doi.org/10.3126/jiee.v6i1.48006

Issue

Section

Articles