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Seagull optimization algorithm–based fractional-order fuzzy controller for LFC of multi-area diverse source system with realistic constraints

Naga Sai Kalyan, CH., Goud, B. Srikanth, Reddy, Ch. Rami, Udumula, Ramanjaneya Reddy, Bajaj, Mohit, Sharma, Naveen Kumar, Elgamli, Elmazeg, Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X and Kamel, Salah 2022. Seagull optimization algorithm–based fractional-order fuzzy controller for LFC of multi-area diverse source system with realistic constraints. Frontiers in Energy Research 10 , 921426. 10.3389/fenrg.2022.921426

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Abstract

This study initiates the implementation of fractional-order (FO) fuzzy (F) PID (FOFPID) controller fine-tuned using a seagull optimization algorithm (SOA) for the study of load frequency control (LFC). Initially, the SOA-tuned FOFPID regulator is implemented on the widely utilized model of dual-area reheat-thermal system (DARTS), named test system-1 in this work for a perturbation of 10% step load (10% SLP) on area-1. Dynamical analysis of the DARTS system reveals the viability of the SOA-tuned FOFPID control scheme in regulating frequency deviations effectively compared to other control schemes covered in the literature. Later, the presented regulator is implemented on the multi-area diverse sources (MADS) system possessing realistic constraints in this study, termed test system-2. The sovereignty of the presented FOFPID controller is once again evidenced with controllers of PID/FOPID/FPID fine-tuned with the SOA approach. Moreover, the effect of considering practical realistic nonlinearity constraints such as communication time delays (CTDs) on MADS system performance is visualized and the necessity of its consideration is demonstrated. Furthermore, AC-DC lines are incorporated with the MADS system to enhance the performance under heavy-load disturbances and the robustness of the proposed regulatory mechanism is deliberated.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Engineering
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/
Publisher: Frontiers Media
Date of First Compliant Deposit: 20 July 2022
Date of Acceptance: 26 May 2022
Last Modified: 10 Nov 2022 11:39
URI: https://orca.cardiff.ac.uk/id/eprint/151398

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