The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm

Authors

  • Sana Khalid Abd Al Hassan Dept. of Electronic and Communication Engineering, College of Engineering, Al Nahrain University, Baghdad-Iraq.
  • Firas Mohammed Tuaimah Dept. of Electrical Engineering, College of Engineering, Baghdad University, Baghdad-Iraq.
  • Yasser Nadhum Abd Iraqi National Control Center, Ministry of Electricity, Baghdad, Iraq.
  • Ali Adil Al-Lami Iraqi National Control Center, Ministry of Electricity, Baghdad, Iraq.

DOI:

https://doi.org/10.29194/NJES.28020187

Keywords:

Genetic Algorithm (GA), Load Flow Controller Flexible AC Transmission Systems (FACTS), Active and Reactive Power, Unified Power Flow Controller (UPFC)

Abstract

The Unified Power Flow Controller (UPFC) is a most complex power electronic device, which can simultaneously control a local bus voltage and optimize power flows in the electrical power transmission system. This paper presents the effect of installing the UPFC on the Iraqi (400 kV) grid transmission system to control the active and reactive power flow by choosing the optimal location and parameters of Unified Power Flow Controllers (UPFCs), which were specified based on the Genetic Algorithm (GA) optimization method. The objectives are improving voltage profile, reducing power losses, treating power flow in overloaded transmission lines, and reducing power generation. The steady state model of UPFC has been adopted on (400 kV) Iraq transmission lines and simulated using the MATLAB programming language. The Newton-Raphson (NR) numerical analysis method has been used for solving the load flow of the system. The practical part has been solved through Power System Simulation for Engineers (PSS\E) software Version 32.0. The Comparative results between the experimental and practical parts obtained from adopting the UPFC were too close and almost the same under different loading conditions, which are (5%, 10%, 15% and 20%) of the total load.

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References

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Published

19-07-2025

How to Cite

[1]
S. K. Abd Al Hassan, F. M. Tuaimah, Y. N. Abd, and A. A. Al-Lami, “The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm”, NJES, vol. 28, no. 2, pp. 187–194, Jul. 2025, doi: 10.29194/NJES.28020187.

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