Configuring a power system stabilizer for improved dynemic performance a case study for Lakvijaya power station

Abstract

The concept of Power System Stabilizer (PSS) is widely accepted worldwide as a supplementary excitation control method to improve the dynamic performance of power systems. This work presents the implementation of a PSS by proposing a robust tuning procedure for the inbuilt PSS functions in UNITROL 5000 excitation controllers, focusing on the ST1A type static excitation system. Additionally, this research serves as a case study for the Sri Lankan power system centered around the Lakvijaya Power Station in Sri Lanka, which is the largest coal power plant in the country. The proposed tuning procedure demonstrates how the conventional Frequency Response-Based Method and a Model Based Method incorporated with an optimization technique, can be used in a cascaded format to significantly enhance the dynamic response of the power system. The optimization technique has been completely automated on the Python coding platform, which employs an Eigenvalues-based approach to optimize in the presence of comprehensive dynamic data of the Sri Lankan power system up to the 33kV voltage level.