Title: Advanced Heffron-Phillips model for improving power system stability

Authors: Niharika Agrawal; Faheem Ahmed Khan; Mamatha Gowda

Addresses: Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Ramanagaram District – 562159, Karnataka, India ' Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Ramanagaram District – 562159, Karnataka, India ' Department of Artificial Intelligence and Data Science, BGS College of Engineering and Technology, Mahalakshmi Puram, Bengaluru, 560086, Karnataka, India

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.

Keywords: damping; eigenvalues; EVS; optimisation; oscillations; performance; power system.

DOI: 10.1504/IJEGN.2023.135299

International Journal of the Energy-Growth Nexus, 2023 Vol.1 No.1, pp.63 - 89

Received: 09 Feb 2023
Accepted: 14 Jun 2023
Published online: 04 Dec 2023 *