Result Analysis for Particle Swarm Optimization and Genetic Algorithm for Load Flow Study

Authors

  • Ghosh P Department of Electrical Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India
  • Gopal Mukherjee A Department of Electrical Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India
  • Kumar Singh S Department of Electrical Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India
  • Prasad Dubey H Department of Electrical Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India

Keywords:

Particle swarm optimization, Genetic Algorithm, Load flow, Electrical Power System, Score

Abstract

This paper presents a comparative study between Particle Swarm optimization and Genetic Algorithm based methodology for solving load flow in electrical power systems. Load flow study provides the system status in steady-state and is required by several functions performed in power system control rooms.

References

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Published

2025-11-11

How to Cite

[1]
P. Ghosh, A. Gopal Mukherjee, S. Kumar Singh, and H. Prasad Dubey, “Result Analysis for Particle Swarm Optimization and Genetic Algorithm for Load Flow Study”, Int. J. Comp. Sci. Eng., vol. 4, no. 6, pp. 99–105, Nov. 2025.

Issue

Vol. 4 No. 6 (2016): IJCSE Special Issue August Edition

Section

Research Article

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