TLBO tuned a novel robust fuzzy control structure for LFC of a hybrid power system with photovoltaic source

Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X and Anayi, Fatih ORCID: https://orcid.org/0000-0001-8408-7673 2022. TLBO tuned a novel robust fuzzy control structure for LFC of a hybrid power system with photovoltaic source. Presented at: The 1st International Electronic Conference on Processes: Processes System Innovation, Virtual, 17-31 May 2022. Proceedings of The 1st International Electronic Conference on Processes: Processes System Innovation. MDPI, 10.3390/ECP2022-12684

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Abstract

This study proposes a new fuzzy logic control (FLC) design-based I controller plus a Fuzzy Cascade FOPI-FOPD (I + F C FOPI-FOPD) for load frequency control (LFC) in power systems. The structure of this design offers a satisfactory level of reliability as well as excellent robustness performance. The proposed fuzzy design is employed in a hybrid dual area power system based on a photovoltaic renewable energy plant in area one and a thermal generation unit in area two. In order to achieve the best possible dynamic performance of the proposed structure, the teaching learning-based optimization (TLBO) algorithm is suggested to optimally tune the scaling factor gains of the proposed fuzzy configuration. The superiority of the suggested fuzzy control design is investigated by conducting a comparative study between this design and a previously applied PI-based firefly algorithm. Simulation results revealed that the fuzzy logic controller introduced in this study is reliable and superior, and appropriately handled the problem of frequency variation.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	MDPI
Date of First Compliant Deposit:	20 January 2023
Last Modified:	10 Feb 2024 02:11
URI:	https://orca.cardiff.ac.uk/id/eprint/155932

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