Load Frequency Control (LFC) has become of crucial importance in modern power systems on account ... more Load Frequency Control (LFC) has become of crucial importance in modern power systems on account of varying demand and generation trends. To maintain the frequency variations and minimize the tie line power fluctuations, various soft computing techniques have been used for fine tuning of PID controller in LFC problems. This paper presents a comparative analysis of various swarm optimization-based intelligent algorithms for LFC problems. From simulation results obtained via Simulink (MATLAB), the frequency variations in each area, tie-line power fluctuation profile as well as the convergence trend for each algorithm has been analyzed in this paper. Besides various system parameters such as percentage overshoot, settling time, rise time and steady state error, different performance indices have also been computed against each swarm intelligence-based algorithm.
Load Frequency Control (LFC) has become of crucial importance in modern power systems on account ... more Load Frequency Control (LFC) has become of crucial importance in modern power systems on account of varying demand and generation trends. To maintain the frequency variations and minimize the tie line power fluctuations, various soft computing techniques have been used for fine tuning of PID controller in LFC problems. This paper presents a comparative analysis of various swarm optimization-based intelligent algorithms for LFC problems. From simulation results obtained via Simulink (MATLAB), the frequency variations in each area, tie-line power fluctuation profile as well as the convergence trend for each algorithm has been analyzed in this paper. Besides various system parameters such as percentage overshoot, settling time, rise time and steady state error, different performance indices have also been computed against each swarm intelligence-based algorithm.
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