Title: Maximum power generation and conversion using hybrid technique for grid connected PV system

Authors: A. Renjith; P. Selvam

Addresses: Department of Electrical and Electronics Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College, Salem-636308, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College, Salem-636308, Tamil Nadu, India

Abstract: In this paper present an adaptive dingo optimiser (ADO) and coyote optimisation algorithm (COA) for maximum power generation from PV panels even in low irradiance and climatic change. ADO is a combination of arithmetic optimisation algorithm (AOA) and dingo optimiser (DO) based on dingo animal behaviour and mathematical calculations. COA is used to ensure that power stability during the entire process based on the social behaviour of coyotes. The novelty of this paper is produce maximum power in under different conditions and maintains the stable power for any type of loads and demands by controlling signal of inverter and converter using proposed algorithms. Using MATLAB/Simulink platform, the maximum PV panel power is modelled, and the findings of system efficiency study are also validated. From various simulation results generated output power is maximum and stability is also more efficient even with any type of loads when compared to existing technology.

Keywords: irradiance; PV panel; maximum power generation; adaptive dingo optimiser; ADO; coyote optimisation algorithm; COA.

DOI: 10.1504/IJCVR.2026.156205

International Journal of Computational Vision and Robotics, 2026 Vol.17 No.3, pp.338 - 361

Received: 08 Feb 2024
Accepted: 07 May 2024
Published online: 08 Sep 2026 *

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