A Review paper on Improvement of power quality in distributed generation system using optimization techniques

  • Unique Paper ID: 179532
  • Volume: 11
  • Issue: 12
  • PageNo: 8369-8372
  • Abstract:
  • The integration of Distributed Generators (DGs) into power systems offers numerous benefits, including reduced electricity costs, congestion management, loss reduction, and improved voltage profiles. As DGs are expected to play a larger role in meeting future electricity demand, optimizing their placement and capacity is crucial. This paper proposes a Genetic Algorithm (GA)-based method for optimizing DG allocation in distribution systems, aiming to minimize active power loss and enhance voltage profiles.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{179532,
        author = {Vishal Patidar and Raghunandan Singh Baghel},
        title = {A Review paper on Improvement of power quality in distributed generation system using optimization techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8369-8372},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179532},
        abstract = {The integration of Distributed Generators 
(DGs) into power systems offers numerous benefits, 
including reduced electricity costs, congestion 
management, loss reduction, and improved voltage 
profiles. As DGs are expected to play a larger role in 
meeting future electricity demand, optimizing their 
placement and capacity is crucial. This paper proposes 
a Genetic Algorithm (GA)-based method for 
optimizing DG allocation in distribution systems, 
aiming to minimize active power loss and enhance 
voltage profiles.},
        keywords = {Distributed generation, genetic algorithm,  voltage profile, active power loss.},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 8369-8372

A Review paper on Improvement of power quality in distributed generation system using optimization techniques

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