A Metaheuristic Parameter Estimation Technique Of Solar Cells For Marine Applications

摘要

The need for a renewable energy network in the maritime industry has grown, owing to increased fuel costs and marine pollution. Diesel engines typically power many boats, emitting large quantities of exhaust fumes, such as carbon dioxide, nitrous oxide (NOx), sulphur oxide (SOx), which pollute water and air and cause global warming and human health hazards. Renewables such as wind, solar, wave energy and tidal energy are used to power generation in marine applications as part of reducing marine pollution. Owing of its cleanliness and usability, solar energy, among the diverse technology available for green transport, is considered an extremely promising source of renewable energy in maritime applications. This explores the uniqueness of military PV specifications which contribute to the creation of the Navy and the Marine Corps' new PV technologies. It calculated how well solar panels could be mounted on vessels and evaluated the payback time for saving fuel oil from adopted investment. It clarified that, given their mainland applications and the proposed process, PV systems are still being used in modern marine technology, with the PV arrays monitoring maximum power point (MPP) using MPPT technology and direct power to the flyback converter. Solar power is also used widely in PV systems for electricity generation. Nevertheless, PV systems are prone to environmental factors external to them, such as temperature and global irradiance. For this, PV models are important and the PV models have a single diode (SDM), a double diode (DDM), and a three-diode model (TDM). Between these models is provided a TD PV model to generate a very precise PV model by integrating all losses into the PV model. In this study, a new configuration of a wide PV range of green sea-flood ships and a large-scale model of optimization of the MPPT problem are discussed. To overcome this problem a metaheuristic optimization is used and the predictive model control is used to achieve online MPPT output in real-time. Precise and effective PV models are mainly dictated by their parameters. Therefore, an effective method for precisely extracting these parameters is especially critical to establish.