Applied Computational Intelligence and Soft Computing / 2016 / Article / Tab 12 / Research Article
Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm Table 12 PI based comparison of speed response with GA-CPSS [
42 ], ACO-CPSS [
43 ], SPEA-CPSS [
44 ], and proposed BA-PID-PSS for Plants-1–8 of 10-machine 39-bus power system.
PS model Controller ITAE IAE ISE Plant-1 GA-CPSS [42 ] 0.5058 0.0706 ACO-CPSS [43 ] 0.2191 0.0412 SPEA-CPSS [44 ] 0.0357 0.0164 BA-PID-PSS (prop.) 0.0184 0.0106 Plant-2 GA-CPSS [42 ] 0.5465 0.0751 ACO-CPSS [43 ] 0.2893 0.0492 SPEA-CPSS [44 ] 0.0371 0.0175 BA-PID-PSS (prop.) 0.0245 0.0123 Plant-3 GA-CPSS [42 ] 0.3058 0.0432 ACO-CPSS [43 ] 0.1661 0.0299 SPEA-CPSS [44 ] 0.0213 0.0094 BA-PID-PSS (prop.) 0.0087 0.0054 Plant-4 GA-CPSS [42 ] 0.5308 0.0767 ACO-CPSS [43 ] 0.4977 0.0726 SPEA-CPSS [44 ] 0.0612 0.0242 BA-PID-PSS (prop.) 0.0119 0.0082 Plant-5 GA-CPSS [42 ] 0.3175 0.0490 ACO-CPSS [43 ] 0.2065 0.0385 SPEA-CPSS [44 ] 0.0319 0.0144 BA-PID-PSS (prop.) 0.0125 0.0081 Plant-6 GA-CPSS [42 ] 0.4491 0.0629 ACO-CPSS [43 ] 0.1884 0.0368 SPEA-CPSS [44 ] 0.0326 0.0144 BA-PID-PSS (prop.) 0.0169 0.0095 Plant-7 GA-CPSS [42 ] 0.2040 0.0348 ACO-CPSS [43 ] 0.1596 0.0299 SPEA-CPSS [44 ] 0.0219 0.0096 BA-PID-PSS (prop.) 0.0105 0.0060 Plant-8 GA-CPSS [42 ] 0.4115 0.0595 ACO-CPSS [43 ] 0.2160 0.0427 SPEA-CPSS [44 ] 0.0383 0.0172 BA-PID-PSS (prop.) 0.0219 0.0115
