Distribution Network Reconfiguration Considering Feeder Length as a Reliability Index

Authors

  • Kwabena Amoako Kyeremeh Department of Computer and Electrical Engineering, University of Energy and Natural Resources, Sunyani, Ghana
  • Isaac Kofi Otchere Department of Computer and Electrical Engineering, University of Energy and Natural Resources, Sunyani, Ghana
  • Nana Twum Duah Department of Computer and Electrical Engineering, University of Energy and Natural Resources, Sunyani, Ghana
  • Joseph Owusu Department of Computer and Electrical Engineering, University of Energy and Natural Resources, Sunyani, Ghana

DOI:

https://doi.org/10.15157/IJITIS.2023.6.1.1100-1111

Keywords:

Distributed Generation, Distribution Network, Genetic Algorithm, Multi – Period Scenarios, Optimization, Power Loss, Reconfiguration and Reliability

Abstract

Power distribution network reconfiguration is achieved by opening or closing sectionalizes and tie switches to optimize a set of objectives. Active loss reduction is the objective in the reconfiguration of distribution networks since distribution networks usually record high levels of power losses. Reliability of the network is also an important objective. In this work, the objective function of the optimization is the reduction of power loss, improvement of line loading index and improvement of reliability. This paper seeks to shift the focus from the traditional objectives of passive (without distributed generations) networks to the security and reliability objectives. Since network reconfiguration is a planning problem, the work was performed to solve the problem for multi – period scenarios which spanned 24hrs. Genetic Algorithm was employed in this study and the simulation was performed in MATLAB software environment using a modified IEEE 69 Bus test system.

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Published

2023-01-15 — Updated on 2023-01-16

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How to Cite

Kwabena Amoako Kyeremeh, Isaac Kofi Otchere, Nana Twum Duah, & Joseph Owusu. (2023). Distribution Network Reconfiguration Considering Feeder Length as a Reliability Index. International Journal of Innovative Technology and Interdisciplinary Sciences, 6(1), 1100–1111. https://doi.org/10.15157/IJITIS.2023.6.1.1100-1111 (Original work published January 15, 2023)