Comparing the performance of various soft computing approaches in load frequency control for interconnected power systems combining thermal-hydro and thermal-diesel sources

Abstract

Interconnected power systems offer a solution for meeting  the increasing demand for reliable and efficient electricity supply.  However, maintaining stability in such networks, especially in the  face of frequency fluctuations, presents a significant challenge.  Effective load frequency control (LFC) optimization is vital for  ensuring stability by mitigating the impact of these fluctuations  resulting from various disturbances. This study introduces PID LFC  optimization strategies applied to a thermal-hydro and thermaldiesel interconnected power system. Six optimization methods,  including ACO, PSO, GA, TLBO, DE, and CIO, are explored using four  cost functions. Random step load perturbations are applied to test  the response consistency of the LFCs. Initial findings indicate that  recently developed CIO outperforms other algorithms in achieving  desired outcomes while maintaining competitive computational  expenses. Specifically, the CIO-ITAE optimized LFC demonstrates  improved resilience in addressing challenges in the interconnected  power system.