Abstract
AbstractThis paper presents the optimal tuning of Proportional Integral and Derivative (PID) controller for maintaining the tie-line power exchange between the areas within the desired limits along with frequencies of both areas. Two intelligent optimization techniques named Particle Swarm Optimization (PSO) and Symbiotic Organism Search (SOS) have been used to find the optimal parameters of the PID controllers for hybrid power systems. For diversity, two unequal areas have been considered comprising of various power generation sources such as thermal power plant, hydro power plant, diesel power plant, and wind power plant. Area 1 includes wind, hydro, and thermal power plants, whereas in area 2, diesel power, thermal, and hydro power sources are used. Test system has been investigated by both optimization techniques by taking Integral Time multiplied by Absolute Error (ITAE) performance indices as objective function for different operating conditions. Comparison has been made for dynamic response of all the states variables in terms of settling time and overshoot / undershoot between the SOS and PSO based PID controllers.KeywordsAutomatic generation controlLoad frequency controlPID controllerParticle swarm optimization (PSO)Symbiotic organism search (SOS)
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