Frequency control of an isolated hydro power plant using artificial intelligence

Frequency variation is a critical issue in power systems. With the recent developments in power sector, complexity and non-linearity of power system is increased to higher degree. Conventional controllers are designed considering linear power system models, therefore performance of these controllers may be not suffice the requirement of state of art. New strategies and controllers for controlling and monitoring of hydro power generation are developed and came into continuation with the conventional controllers like neural networks, fuzzy, and hybrids which performs better. In this paper, a new strategy is implemented for the control of hydro-turbine (Francis type) for the synchronous generator to attain the frequency in the prescribed limits at faster rate whenever there is change in load. An intelligent controller is used instead of conventional controller. In running condition, proposed controller results in maximum frequency deviation of 0.3% above the reference frequency and reach in stable state at faster rate when there is an unexpected load variation.