Affiliations: [a] Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India | [b] Shri Shankaracharya Technical Campus, Shri Shankaracharya Technical Campus, Junwani, Bhilai, Chhattisgarh, India | [c] Institute of Artificial Intelligence, Dr Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
Correspondence:
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Corresponding author: Mangal Singh, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India. E-mail: [email protected].
Abstract: This study introduces an optimal multi-objective design approach for a robust multimachine Fractional Order PID Controller (FOPID) using the Antlion algorithm. The research focuses on the need for effective stabilizers in multimachine power systems by employing traditional speed-based lead-lag FOPID controllers. The study formulates a multi-objective problem, optimizing the damping factor and damping ratio of lightly damped electromechanical modes to maximize a composite set of objective functions, tackled through the Antlion algorithm. Stability analysis of Single-Machine Infinite-Bus (SMIB) and multimachine power systems is conducted based on rotor speed and power deviation minimization in the time domain response, along with damping ratio and eigenvalue analysis. The proposed approach is implemented and tested on three IEEE test cases, showcasing significant improvements in stability through the reduction of maximum overshoot (Mp) and settling time (ts) of speed deviation. Comparative analysis with other optimization-based FOPID controllers underscores the superiority of the proposed approach in enhancing stability in multimachine power systems. The main impact of this research lies in its contribution to the advancement of stability enhancement techniques in multimachine power systems, offering a systematic framework for optimal FOPID controller design and empowering decision-making processes in power engineering.
Keywords: Antlion optimization, ant colony algorithm, fractional order proportional integral derivative controller, genetic algorithm, power system stability
