The dynamic nature of power demand and generation introduces challenges to power system stability, notably manifesting as undesirable frequency deviations. In this study, we employed suitable load frequency control (LFC) strategies, including proportional-integral-derivative (PID), fractional order PID (FOPID), two degrees of freedom-PID (2DOF-PID), and tilt integrated derivative (TID) controllers, to address this issue. Utilizing the salp swarm algorithm (SSA), we optimized the controller parameters to mitigate frequency deviations effectively. Our investigation spans three distinct power system configurations, encompassing single-area thermal-hydro (TH), TH-gas (THG), and THG with nonlinearities. Notably, controllers tuned with SSA exhibit good and stable performance. The obtained results underscore the efficacy of the SSA-based control techniques in enhancing LFC performance, thus bolstering power system stability and reliability in the presence of load fluctuations. Notably, a hierarchical performance grading emerges with SSA tuning, establishing the dominance of TID controllers over PID, FOPID, and 2DOF-PID variants.

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LFC of Single-Area Multisource Power Systems Employing SSA-Based TID Controller

  • Rafeque Ahmad,
  • Ibraheem,
  • Yogendra Arya,
  • Mohammad Faraz Ahmer

摘要

The dynamic nature of power demand and generation introduces challenges to power system stability, notably manifesting as undesirable frequency deviations. In this study, we employed suitable load frequency control (LFC) strategies, including proportional-integral-derivative (PID), fractional order PID (FOPID), two degrees of freedom-PID (2DOF-PID), and tilt integrated derivative (TID) controllers, to address this issue. Utilizing the salp swarm algorithm (SSA), we optimized the controller parameters to mitigate frequency deviations effectively. Our investigation spans three distinct power system configurations, encompassing single-area thermal-hydro (TH), TH-gas (THG), and THG with nonlinearities. Notably, controllers tuned with SSA exhibit good and stable performance. The obtained results underscore the efficacy of the SSA-based control techniques in enhancing LFC performance, thus bolstering power system stability and reliability in the presence of load fluctuations. Notably, a hierarchical performance grading emerges with SSA tuning, establishing the dominance of TID controllers over PID, FOPID, and 2DOF-PID variants.