Title: Energy management in smart grids for optimal IoT integration with enhanced energy and exergy efficiencies using Garra rufa fish optimisation approach

Authors: V.V. Rajasegharan; Bharatha Babu K; R. Jeyabharath; Vasan Prabhu V

Addresses: Department of Electrical and Electronics Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, KSR College of Engineering, Tiruchengode, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Automobile Department, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

Abstract: The day-to-day increased usage of power appliances by consumers is a growing concern. This manuscript presents an approach for IoT-based energy management in smart grid (SG) with proposed Garra rufa-fish optimisation (GRFO). The objectives of the proposed technique are to satisfy consumer energy demands while preserving energy-efficiency and minimising-cost. The GRFO algorithm optimises the consumption of energy to achieve optimal-energy in SG. The proposed method is analysed and compared to other existing-strategies in the MATLAB software. The proposed technique provides optimum outcomes in all existing PSO, WHO and HBO methods. The proposed method attains €0.015 cost. The result shows that the proposed method provides better results.

Keywords: internet of things; IoT; distribution system; DS; shiftable loads; SLs; photovoltaic; wind turbine; energy management system.

DOI: 10.1504/IJEX.2024.142624

International Journal of Exergy, 2024 Vol.45 No.3/4, pp.175 - 191

Received: 16 Apr 2024
Accepted: 14 Jun 2024
Published online: 12 Nov 2024 *

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