Original scientific paper

https://doi.org/10.17559/TV-20240910001983

The Performance Improvement of MMC-DFIM Drives using Hybrid Jellyfish-Butterfly Optimized FOPID Control

Bindu Kolappa Pillai Vijayammal ; Department of of Electrical and Electronics Engineering, R.M.K College of Engineering and Technology, Puduvoyal 601 206
R. Vishalakshi ; Department of Data Science and Business Systems SRMIST SRM University, Kattankulathur, Chennai, India
Adel Alblawi ; Mechanical Engineering Department, College of Engineering, Shaqra University, Dawadmi, Saudi Arabia
Marwa Obayya ; Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia
M. Darsana ; Department of Electrical and Electronics Communication Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India *

* Corresponding author.

Abstract

The development of advanced wind energy conversion systems (WECS) necessitates efficient converter control strategies to enhance energy conversion efficiency and minimize harmonic distortion. This study proposes a novel hybrid optimization framework that combines Jellyfish Search (JS) and Butterfly Optimization Algorithm (BOA) to adaptively tune Fractional Order Proportional-Integral-Derivative (FOPID) controllers for Modular Multilevel Converters (MMCs) interfaced with Doubly-Fed Induction Machines (DFIMs). The hybrid JS-BOA approach leverages JSꞌs global convergence capabilities and BOAꞌs superior exploration behavior, overcoming the performance constraints inherent in single-algorithm methods. The control strategy integrates a real-time FOPID controller with 3D Space Vector Pulse Width Modulation (3D-SVPWM) and predictive capacitor voltage sorting to suppress circulating current and maintain precise capacitor voltage balancing. MATLAB/Simulink R2024a simulations, alongside experimental validation using a 7-level MMC testbed equipped with a dSPACE 1202 controller, were conducted to verify system performance. Comparative analyses demonstrate that the proposed JS-BOA-based FOPID controller outperforms traditional optimization techniques such as Particle Swarm Optimization (PSO), Monarch Butterfly Optimization (MAO), and Multi-Directional Hunger Optimization (MDHO). Notably, it achieves a 30-45% improvement in circulating current suppression, maintains ±2 V precision in voltage balancing, and reduces settling time to approximately 90 ms under varying wind profile conditions. This research establishes a scalable and computationally efficient control framework that ensures low Total Harmonic Distortion (THD) and compliance with regulatory standards, contributing significantly to the advancement of next-generation wind energy systems.

Keywords

3D-space vector PWM (3D-SVPWM); fractional order PID (FOPID) controller; hybrid jellyfish search-butterfly optimization (JS-BOA); modular multilevel converter (MMC); wind energy conversion system (WECS)

Hrčak ID:

337714

URI

https://hrcak.srce.hr/337714

Publication date:

31.10.2025.

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