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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45145

Solution of Optimal Power Flow Using Genetic Algorithm with Facts Devices

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45145

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45145

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

.BS

. B. SHREEMA1

MGH

Ms. G. HARSHITHA2

MNSMPS4

Ms. N. SRAVYA3 Ms. P. SANJANA 4

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Abstract

Optimal Power Flow (OPF) minimizes operational costs while ensuring power system stability. Incorporating Flexible AC Transmission System (FACTS) devices enhances efficiency by improving power transfer, reducing congestion, and enhancing voltage stability. These controllers provide dynamic compensation, minimizing infrastructure expansion needs. This study proposes a Genetic Algorithm (GA)-based OPF approach for tuning system parameters. Implemented on the IEEE 30-bus system, it minimizes fuel costs and the L-index (voltage stability metric). Unlike deterministic methods, GA efficiently handles non-convex OPF constraints. FACTS devices within the optimization framework improve voltage regulation and power flow control. Simulation results show that GA outperforms conventional techniques in cost-effectiveness, voltage stability, and computational efficiency. A comparative analysis highlights GA’s advantages, proving bio- inspired algorithms offer scalable solutions for modern grids.

KEYWORDS

Thyristor controlled series capacitor optimal power flow L-index.

Cite This Article

. B. SHREEMA1, Ms. G. HARSHITHA2, Ms. N. SRAVYA3 Ms. P. SANJANA 4, "Solution of Optimal Power Flow Using Genetic Algorithm with Facts Devices," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45145

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Publication Date

4/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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