Frequency Control of Shipboard Microgrid Using a Novel Artificial Rabbits Optimization Tuned Cascaded PI-TID Controller

SMRITI JAISWAL, Manas Jyoti Mahanta, Subash Chandra Sahoo, Kothalanka K Pavan Kumar, Dulal Chandra Das

Abstract


This paper proposes a novel meta-heuristic technique to investigate frequency deviation control for the multi-energy model designed for a secluded shipboard microgrid system. This marine commercial vessel design is equipped with renewable energy resources like wind turbine generator, solar PV array, sea wave energy generator, biogas generator, biodiesel generator, aqua electrolyzer, proton exchange membrane fuel cell, and ultra-capacitor. This study aims to enhance the proposed system's performance and mitigate frequency variations using a novel Artificial Rabbits' Optimization method with a cascaded PI-TID controller. Further, for viability validation of the selected controller, a hardware-in-the-loop simulation based on OPAL-RT is executed to analyze real-time scenarios in several case studies. The results of this study provide a comparative assessment of novel technique proposed in contrast to the results of existing well-established techniques like Grasshopper Optimization Algorithm, Particle Swarm Optimization, Sine Cosine algorithm, and Salp Swarm Optimization Algorithm. The outcomes demonstrate the viability of the proposed SMG and the suitability of the selected controller over PID and TID controllers in preserving frequency stability in real-time.


Keywords


Artificial Rabbits Optimization; biogas generator; load frequency control; proportional integral tilt integral-derivative controller; shipboard microgrid

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References


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DOI (PDF): https://doi.org/10.20508/ijsmartgrid.v9i1.368.g372

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