Automatic generation control of power systems with unified power flow controller by improved grasshopper optimization algorithm

摘要

This paper purposes an Improved Grasshopper Optimization Algorithm (IGOA) is applied for the power systems of AGC in presence of UPFC. The sources of thermal, hydro and gas generating units are considered in each area of multi-area six-unit power system. Gains of the anticipated PID controller are optimized applying IGOA using Integral of Time multiplied by Absolute value of Error (ITAE) criterion. The superiority of PID controller over PI and I controllers have been verified. Then, to further enhance the system performance, a UPFC is installed in the tie-line and the PID controller parameters are tuned in the presence of UPFC. The superiority of proposed IGOA over original Grasshopper Optimization Algorithm (GOA) have been demonstrated. The purpose system performance can be assessed by using time domain simulations.