Title: Optimising the exergy efficiency of microgrid system with integration of hybrid renewable energy sources

Authors: Surendar Vadivel; Ragupathy Uthandipalayam Subramaniyam; Ponnambalam Pathipooranam; Guna Sekar Thangamuthu

Addresses: Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, Tamilnadu, India ' Department of Electronics and Communication Engineering, Nandha Engineering College, Erode, Tamilnadu, India ' Department of Energy and Power Electronics, School of Electrical Engineering, VIT University, Vellore, Tamilnadu, India ' Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, Tamilnadu, India

Abstract: This manuscript proposes the use of hybrid renewable energy resources (RES) in microgrid systems, combining Mexican axolotl optimisation (MOA) and wild horse optimiser (WHO). It aims to minimise the annual cost and enhances the efficiency of the system. By then, the proposed model will be implemented in the MATLAB platform. The proposed method yields better outcomes, compared to existing methods like hybrid Harris hawks optimiser arithmetic optimisation algorithm (hHHO-AOA), turbulent flow water-based optimisation (TFWO), and sparrow search algorithm (SSA). The proposed method shows the annual cost, efficiency is 1.42 × 10⁵ $, 98.89%. The proposed method's annual cost is low and the efficiency is high.

Keywords: photovoltaic; PV; battery; wind turbine; micro grid; equivalent annual cost; load; voltage; renewable energy resources; RES; Mexican axolotl optimisation; MOA; wild horse optimiser; WHO.

DOI: 10.1504/IJEX.2024.141690

International Journal of Exergy, 2024 Vol.45 No.1/2, pp.71 - 93

Received: 10 Apr 2024
Accepted: 04 Jul 2024
Published online: 30 Sep 2024 *

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