Sine and wormhole energy whale optimization algorithm (SWEWOA),Optimal power flow (OPF),Wind integration,FACTS devices,Power system optimization
," /> Sine and wormhole energy whale optimization algorithm (SWEWOA),Optimal power flow (OPF),Wind integration,FACTS devices,Power system optimization
,"/> Sine and wormhole energy whale optimization algorithm (SWEWOA),Optimal power flow (OPF),Wind integration,FACTS devices,Power system optimization
,"/> A Sine and Wormhole Energy Whale Optimization Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems

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Journal of Bionic Engineering ›› 2025, Vol. 22 ›› Issue (4): 2115-2134.doi: 10.1007/s42235-025-00702-y

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A Sine and Wormhole Energy Whale Optimization Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems

Sunilkumar P. Agrawal1;Pradeep Jangir2,3,4,5;Arpita6;Sundaram B. Pandya7;Anil Parmar7;Ahmad O. Hourani8;Bhargavi Indrajit Trivedi9

  

  1. 1 Department of Electrical Engineering, GovernmentEngineering College, Gandhinagar, Gujarat 382028, India
    2 University Centre for Research and Development,Chandigarh University, Gharuan, Mohali 140413, India
    3 Department of CSE, Graphic Era Hill University,Dehradun 248002, India
    4 Centre for Research Impact & Outcome, Chitkara UniversityInstitute of Engineering and Technology, Chitkara University,Rajpura, Punjab 140401, India
    5 Department of Electrical and Electronics Engineering, J.J.College of Engineering and Technology, Tiruchirappalli,Tamilnadu, India
    6 Department of Biosciences, Saveetha School of Engineering,Saveetha Institute of Medical and Technical Sciences,Chennai 602 105, India
    7 Department of Electrical Engineering, Shri K.J. Polytechnic,Bharuch 392 001, India
    8 Hourani Center for Applied Scientific Research, Al-AhliyyaAmman University, Amman, Jordan 9 Vishwakarma Government Engineering College,Ahmedabad, Gujarat, India
  • Online:2025-06-19 Published:2025-08-31
  • Contact: Pradeep Jangir E-mail:pkjmtech@gmail.com
  • About author:Sunilkumar P. Agrawal1;Pradeep Jangir2,3,4,5;Arpita6;Sundaram B. Pandya7;Anil Parmar7;Ahmad O. Hourani8;Bhargavi Indrajit Trivedi9

Abstract: The Sine and Wormhole Energy Whale Optimization Algorithm (SWEWOA) represents an advanced solution method for resolving Optimal Power Flow (OPF) problems in power systems equipped with Flexible AC Transmission System (FACTS) devices which include Thyristor-Controlled Series Compensator (TCSC), Thyristor-Controlled Phase Shifter (TCPS), and Static Var Compensator (SVC). SWEWOA expands Whale Optimization Algorithm (WOA) through the integration of sine and wormhole energy features thus improving exploration and exploitation capabilities for efficient convergence in complex non-linear OPF problems. A performance evaluation of SWEWOA takes place on the IEEE-30 bus test system through static and dynamic loading scenarios where it demonstrates better results than five contemporary algorithms: Adaptive Chaotic WOA (ACWOA), WOA, Chaotic WOA (CWOA), Sine Cosine Algorithm Differential Evolution (SCADE), and Hybrid Grey Wolf Optimization (HGWO). The research shows that SWEWOA delivers superior generation cost reduction than other algorithms by reaching a minimum of 0.9% better performance. SWEWOA demonstrates superior power loss performance by achieving ( Ploss,min) at the lowest level compared to all other tested algorithms which leads to better system energy efficiency. The dynamic loading performance of SWEWOA leads to a 4.38% reduction in gross costs which proves its capability to handle different operating conditions. The algorithm achieves top performance in Friedman Rank Test (FRT) assessments through multiple performance metrics which verifies its consistent reliability and strong stability during changing power demands. The repeated simulations show that SWEWOA generates mean costs ( Cgen,min) and mean power loss values ( Ploss,min) with small deviations which indicate its capability to maintain costeffective solutions in each simulation run. SWEWOA demonstrates great potential as an advanced optimization solution for power system operations through the results presented in this study.

Key words: Sine and wormhole energy whale optimization algorithm (SWEWOA)')">Sine and wormhole energy whale optimization algorithm (SWEWOA), Optimal power flow (OPF), Wind integration, FACTS devices, Power system optimization