Title: Robust design of damping controller for power system using a combination of snake optimisation algorithm and optimal control theory

Authors: Niharika Agrawal; Faheem Ahmed Khan; Mamatha Gowda

Addresses: Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Ramanagaram District – 562 159, Karnataka, India ' Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Ramanagaram District – 562 159, Karnataka, India ' Department of Artificial Intelligence and Data Science, BGS College of Engineering and Technology, Mahalakshmi Puram, Bengaluru, 560 086, Karnataka, India

Abstract: Low-frequency oscillations (LFO) are created in the power system due to various disturbances. The LFO if not controlled, grows and causes the system separation. There is a huge financial loss due to the interruption of the power supply caused by disturbances. With the increasing complexity of the modern power system, there is a need for the design of a more accurate and detailed modelling. An Advanced Heffron Phillips Model (AHPM) is developed with a higher order Synchronous Generator Model 1.1, based on ten K-Constants for stability improvement. This AHPM employs the combination of snake optimisation algorithm (SOA) and linear quadratic regulator (LQR) from optimal control theory. The highest damping ratio (99.98%) is obtained by AHPM in coordination with PSS, and TCSC based on SOA and LQR. For various parameters, the settling time ranges from 1.5 to 2.0 seconds. This AHPM is robust and capable of meeting the challenges of grid integration with renewables.

Keywords: algorithm; damping; efficient; modelling; oscillations; power system; robust; stability; low-frequency oscillations; LFO; snake optimisation algorithm; SOA; linear quadratic regulator; LQR.

DOI: 10.1504/IJETP.2024.138547

International Journal of Energy Technology and Policy, 2024 Vol.19 No.1/2, pp.171 - 215

Received: 06 Jul 2023
Accepted: 05 Dec 2023
Published online: 10 May 2024 *

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