Interline Power Flow Controller Allocation for Active Power Losses Enhancement Using Whale Optimization Algorithm

Ahmed M. Alshannaq, Mohammed A. Haj-ahmed (), Mais Aldwaik and Dia Abualnadi
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Ahmed M. Alshannaq: Electrical Engineering Department, The University of Jordan, Amman 11942, Jordan
Mohammed A. Haj-ahmed: Electrical Engineering Department, The University of Jordan, Amman 11942, Jordan
Mais Aldwaik: Civil Engineering Department, Philadelphia University, Jarash 19392, Jordan
Dia Abualnadi: Electrical Engineering Department, The University of Jordan, Amman 11942, Jordan

Energies, 2024, vol. 17, issue 24, 1-20

Abstract: Transmission networks face continuous electrical and mechanical stresses due to increasing system challenges and power losses. Transmission networks require special focus and detailed studies each time a load or a generator emerges to the grid. The interline power flow controller (IPFC) is a relatively new scheme that is implemented in the transmission network to improve transmission efficiency, decrease transmission losses, and enhance voltage profile. In this paper, the interline power flow controller’s impact on transmission network performance is investigated as it is implemented within the IEEE 5-bus, 14-bus, and IEEE 57-bus systems. In addition, the whale optimization algorithm (WOA) is used to optimize the interline power flow controller locations within the system to achieve optimal transmission system performance. WOA performance is also compared to genetic algorithm (GA) and particle swarm optimization (PSO) algorithms, and the superiority of the proposed WOA-based control is proved. The robustness of the optimized system against load variations is investigated and the results introduced affirm the capability of the interline power flow controller to enhance transmission network efficiency.

Keywords: interline power flow controller; transmission network; whale optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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