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<p>This research work proposes an advanced new method for enhancing Optimal Power Flow control in modern electrical grids, for critical factors such as voltage deviation, power loss, voltage stability index and gross cost. The approach integrates the optimal placement of Flexible AC Transmission System devices, including Static VAR Compensators, Thyristor-Controlled Series Capacitors, and Thyristor-Controlled Phase Shifters, along with hybridized renewable energy sources such as wind and photovoltaic systems. The primary goal is to improve deviation of voltage and voltage stability index, minimize power losses, and minimize gross cost. The OPF problem is tackled using an Improved Walrus Optimization Algorithm (IWOA) with tent chaotic concept, which is evaluated and compared against other widely used optimization techniques, including Sparrow Search Algorithm (SSA), Remora Optimization Algorithm (ROA), and Enhanced Multi-strategies Sparrow Search Algorithm (EMSSA). The results demonstrate that the IWOA outperforms well compared to the other algorithms in terms of deviation of voltage 0.025&#xa0;p.u., voltage stability index 0.08&#xa0;p.u, loss of power 1.838&#xa0;MW and gross cost 912.79&#xa0;$/hr. The proposed methodology not only optimizes the placement of FACTS devices and renewable energy integration but also achieves a significant reduction in deviation of voltage, power loss, voltage stability index and gross cost, thereby enhancing the overall reliability of the power system. Simulation results validate the excellent performance of the IWOA in comparison with SSA, ROA, and EMSSA, making it a promising tool for large-scale power system optimization.</p>

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Enhancing OPF control through optimal siting of FACTS devices and hybridized renewable integration using improved walrus optimization algorithm

  • 期刊论文

  • 发表日期：

    2025年7月19日

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  • M. Mary Linda,
  • J. Jaya

摘要

This research work proposes an advanced new method for enhancing Optimal Power Flow control in modern electrical grids, for critical factors such as voltage deviation, power loss, voltage stability index and gross cost. The approach integrates the optimal placement of Flexible AC Transmission System devices, including Static VAR Compensators, Thyristor-Controlled Series Capacitors, and Thyristor-Controlled Phase Shifters, along with hybridized renewable energy sources such as wind and photovoltaic systems. The primary goal is to improve deviation of voltage and voltage stability index, minimize power losses, and minimize gross cost. The OPF problem is tackled using an Improved Walrus Optimization Algorithm (IWOA) with tent chaotic concept, which is evaluated and compared against other widely used optimization techniques, including Sparrow Search Algorithm (SSA), Remora Optimization Algorithm (ROA), and Enhanced Multi-strategies Sparrow Search Algorithm (EMSSA). The results demonstrate that the IWOA outperforms well compared to the other algorithms in terms of deviation of voltage 0.025 p.u., voltage stability index 0.08 p.u, loss of power 1.838 MW and gross cost 912.79 $/hr. The proposed methodology not only optimizes the placement of FACTS devices and renewable energy integration but also achieves a significant reduction in deviation of voltage, power loss, voltage stability index and gross cost, thereby enhancing the overall reliability of the power system. Simulation results validate the excellent performance of the IWOA in comparison with SSA, ROA, and EMSSA, making it a promising tool for large-scale power system optimization.