ABSTRACT
The recently developed bio-inspired flower pollination algorithm (FPA) is proposed to optimize the PID controller gain values to analyze the performance of the automatic generation control (AGC) of multiarea interconnected thermal power plants with governor dead band (GBD) and generation rate constraint (GRC) nonlinearities. The dynamic behavior of the proposed FPA optimized controller is compared with the tuned controller response of genetic algorithm (GA), simulated annealing (SA), and particle swarm optimization (PSO) techniques in the same system by applying 1% step load perturbation (SLP) in area 1.
The combined response of the system shows that the proposed algorithm-tuned controller gives a better controlled response in terms of minimum settling time compared to other optimization techniques. However, fewer responses had minimum peak undershoot and overshoot values compared to the tuned controller response other optimization techniques (GA and PSO).
