| Issue |
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
|
|
|---|---|---|
| Article Number | 05017 | |
| Number of page(s) | 9 | |
| Section | Solar Power Generation Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202456405017 | |
| Published online | 06 September 2024 | |
Hyper Heuristic Memetic-Algorithm Based Optimization of Solar Photovoltaic Systems
Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India.
Research Scholar, Department of CS & IT, Kalinga University, Raipur, India
For identifying maximum power tracking by using a solar PV system, a modified solar panel is designed with the support of reflector. Based on diameter and size, reflector is selected. This reflector helps for tracking the sun radiation towards the solar panel with the variation of environmental conditions. As a result, it minimizes the wastage of power generation from the solar panel and attains optimized Maximum Power Point Tracking (MPPT) with an increase in output power. In this study, Hyper-Heuristic Memetic Optimization (HHMO) technique for MPPT is introduced. The main aim of proposed technique is to optimize MPP. Here, the maximum power is identified through memetic optimization. The solar irradiance and temperatures on panel get varied at different time Period.
Key words: Solar / power tracking / maximum power point / optimization memetic / irradiance
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.