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Research Article | Open Access |

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Author 1: Surender Reddy Salkuti
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 6 · Published 2021 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2021.0120661

Abstract

This paper proposes a methodology for an optimal operation of smart distribution network considering the network reconfiguration, distributed generation (DG) units allocation and optimally placing the shunt capacitors for reactive power compensation. In this work, the total power losses minimization objective is considered. By optimizing this objective, it can also results in the reduction of voltage deviation. The proposed problem is solved using evolutionary-based gravitational search algorithm (GSA). Simulation studies are performed on 33 bus radial distribution system (RDS). Simulation results reveal that there is a drastic reduction in the power losses by utilizing the network reconfiguration, DG allocation, and reactive power compensation.

Keywords

How to Cite this Article

Salkuti, S. R. (2021). Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm. International Journal of Advanced Computer Science and Applications, 12(6). https://doi.org/10.14569/IJACSA.2021.0120661

Salkuti, Surender Reddy. "Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm." International Journal of Advanced Computer Science and Applications, vol. 12, no. 6, 2021, https://doi.org/10.14569/IJACSA.2021.0120661.

@article{Salkuti2021,
  title     = {Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {6},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Surender Reddy Salkuti},
  doi       = {10.14569/IJACSA.2021.0120661},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120661}
}

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