Optimal PD-PID cascaded controller based Automatic Generation Control of a multisource interconnected power system tuned by Teaching Learning Based Optimization

摘要

This research article explains about the implementation of a novel PD-PID cascaded controller for automatic generation control of a two area multi-source interconnected power system where in each area three types of generating sources are incorporated namely gas, hydro and thermal unit. Teaching learning based optimization technique is used for optimization of the scaling factors of the proposed PD-PID controllers when a sudden load disturbance of 0.01p.u. is considered in area 1 and Integral time absolute error (ITAE) is chosen as an objective function. The superior performance of the proposed optimal controller is proved by comparing the dynamic response of the system with a recently published result of PID controller optimized by Differential Evolution (DE) technique [16]. The performance of the system is analyzed under two cases: (1) With AC tie-line only and (2) With AC-DC tie-line. The evaluation is carried on considering various time response specifications like settling time, peak undershoots and peak overshoots.