AUTOMATIC GENERATION CONTROL OF INTERCONNECTED POWER SYSTEM

Abstract

Automatic generation control (AGC) and Load frequency control (LFC) are very important part of the power systems in order to provide reliable and quality power supply to the end users. Load variations can lead to the deviation generated power frequency which ultimately can destabilize the entire power system. Here comes the LFC for rescue by maintain the power frequency at desired value. In LFC, area controllers are used to perform this task. To avoid this kind of problem AGC and load frequency control method is used for balancing the power system frequency. For tuning purpose objective function have been used. In this work three area interconnected LFC system has been used for simulation purpose. Fractional order proportional integral (FOPI) controllers and proportional controller (PI) were used as an area controller in order to mitigate the effect of load variation in power system. In order to optimize the parameters of controllers, three optimization algorithms namely genetic algorithm (GA), Particle swarm optimization (PSO) and Water cycle algorithm (WCA) have been used. Performance comparison between optimized controllers using these algorithms has also been performed. For further work multisource single area has been simulated in the thesis to understand the process of automatic generation. Comparative analysis shows that the WCA optimization performed better than the other two GA and PSO algorithms. LFC system was simulated on MATLAB with the load disturbance of 0.01 p.u. in all areas at the same time.