Advanced Heffron-Phillips model for improving power system stability

Abstract

The smooth working of the power system is essential for the economic and technological development of the country. But the power system experience low-frequency oscillations (LFOs) due to various disturbances. These LFOs if not controlled, grow and cause the system to collapse. The stability of the system has been analysed with Heffron-Phillips model based on six K-constants with the synchronous generator (SG) model no. 1.0. In the present work, a higher-order SG model 1.1 is used for designing a novel and improved model for damping oscillations in the system and is called an advanced Heffron-Phillips model (AHPM). Three different cases and algorithms are considered. It is concluded that the system is stable, safe, and secure with PSS based on snake optimisation technique. The optimisation and artificial intelligence techniques produced excellent damping results. This model is also capable of meeting the challenges of grid integration with renewables.