Abstract
The integration of renewable generation facilities into integrated power systems entails new challenges for maintaining a reliable and safe electric power infrastructure. It is necessary to expand the use of automatic generation control devices to ensure the ability to control the modes of power systems with a significant share of renewable energy sources. The generation control devices can be used not only for frequency control, but also for maintaining the inter-area wheeling in interconnected power systems. The article suggests application of the particle swarm method, which is one of evolutionary optimization methods, to find optimal parameter settings for proportional-integral-differentiating (PID) controllers of the automatic generation control device. The mathematical description of electric power system elements is given, and a structure of automatic generation control is given. The tuning parameters of the PID controllers of the automatic generation control device based on the particle swarm method, as well as some of classical optimization methods, have been determined. The results of tuning PID controllers obtained by different methods in the form of frequency variation characteristics in power system parts, as well as the torques of an equivalent steam turbine in response to power fluctuations in one of the power system parts are compared.
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