Optimal Tuning of General Type-2 Fuzzy Logic Controller-Based Power System Stabilizers Using Chameleon Swarm Algorithm

Lazaro, Mussa Julius (2026) Optimal Tuning of General Type-2 Fuzzy Logic Controller-Based Power System Stabilizers Using Chameleon Swarm Algorithm. Masters thesis, Insitut Teknologi Sepuluh Nopember.

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Abstract

Ensuring power system stability amid dynamic disturbances is a critical challenge in modern electric power systems. This study presents an optimal tuning framework for a General Type-2 Fuzzy Logic Controller -based Power System Stabilizer (GT2FLC-PSS), aimed at mitigating Low-Frequency Oscillations (LFO) for Suralaya coal-fired power plant (“Pembangkit Listrik Tenaga Uap” (PLTU) Suralaya) located in West Java, which is one of the largest generation units in the large-scaled Java-Madura-Bali (JAMALI) electrical power system of Indonesia and Southeast Asia. The PLTU Suralaya is modeled as a Single Machine Infinite Bus (SMIB) system, thereby eliminating external electrical network influences. The infinite bus is a standard and widely accepted modeling assumption that represents a large, strongly interconnected grid with constant voltage and frequency, allowing the generator’s dynamic behavior and PSS performance to be isolated and rigorously evaluated under realistic operating conditions. The proposed GT2FLC-PSS incorporates secondary membership functions to better handle uncertainties in nonlinear environments. To fine-tune the controller parameters, the Chameleon Swarm Algorithm (CSA), a nature-inspired metaheuristic, is applied due to its strong global search ability and adaptability in high-dimensional, nonlinear optimization spaces. A composite objective function is formulated based on multiple performance criteria, including Integral of Time-weighted Absolute Error (ITAE), Integral of Squared Error (ISE), Integral of Time-weighted Square Error (ITSE), and Integral of Absolute Error (IAE), ensuring a comprehensive improvement in system response. The overall system, comprising the IEEE Type-AC1A excitation system and the GT2FLC-based PSS, is modeled in MATLAB/Simulink. Simulation results under diverse disturbance conditions demonstrate that the CSA-optimized GT2FLC delivers improved damping, reduced overshoot, and enhanced settling performance when compared to conventional stabilizer and Type-1 Fuzzy Logic Controller (T1FLC) methods. The results validate the robustness and effectiveness of the proposed CSA-GT2FLC tuning strategy in enhancing power system dynamic stability.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Keywords: Chameleon Swarm Algorithm, General Type-2 Fuzzy Logic Controller, Optimal tuning, Power System Stabilizer, Single Machine Infinite Bus
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Mussa Julius Lazaro
Date Deposited:	21 Jan 2026 03:58
Last Modified:	21 Jan 2026 03:58
URI:	http://repository.its.ac.id/id/eprint/129919

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