Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers

Peddakapu, K. and Mohd Rusllim, Mohamed and Srinivasarao, P. and Arya, Yogendra (2024) Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers. Journal of Energy Storage, 86 (111191). pp. 1-26. ISSN 2352-152X. (Published)

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DOI/Official URL: https://doi.org/10.1016/j.est.2024.111191

Abstract

The stability of modern power systems faces significant challenges due to intermittent renewable generation and fluctuating load demands, resulting in excessive frequency variations. To address this issue and prevent potential blackouts, implementing a robust control strategy is crucial. This study introduces a cascaded control system, combining a novel fractional order integral derivative (FOID) with a fractional order proportional integral derivative with filter (FOPIDN) controllers, denoted as CFOID-FOPIDN. The gain parameters for CFOID-FOPIDN are determined using the Archimedes optimization algorithm (AOA). The proposed two-area microgrid system incorporates various power-generating sources, including solar, wind turbine generators, fuel cells, micro-turbines, and battery energy storage technologies. To assess the AOA-tuned CFOID-FOPIDN controller's effectiveness, the system is tested under five different conditions: load fluctuations, changes in wind speed, variations in irradiance, combined wind and irradiance variations, and comprehensive changes across all conditions. Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). In dynamic variations across all sources, the AOA-tuned strategy demonstrates shorter settling times in area-1 (2.5 s), area-2 (2.2 s), and tie-line power (2.1 s) compared to PSO (3.5 s, 3.8 s, 3.4 s), WOA (3.2 s, 3.4 s, 3.1 s), BA (3.0 s, 3.1 s, 3.0 s), and MFO (2.9 s, 2.8 s, 2.9 s). Across all five scenarios, the AOA-tuned CFOID-FOPIDN strategy consistently demonstrates superior performance compared to the other strategies under consideration.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Archimedes optimization algorithm; Battery energy storage systems; Fuel cell; Microgrid; Renewable energy sources
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	29 Apr 2024 02:38
Last Modified:	29 Apr 2024 02:38
URI:	http://umpir.ump.edu.my/id/eprint/41074
Download Statistic:	View Download Statistics

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