Publication: Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System
Date
2023
Authors
Rekioua D.
Rekioua T.
Elsanabary A.
Mekhilef S.
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
The study presents an optimal control approach for managing a hybrid Photovoltaic/Wind Turbine/Battery system in an isolated area. The system includes multiple energy sources connected to a DC bus through DC/DC converters for maximum power point tracking. The proposed hybrid MPPT approach (HMPPT) manages the energy production from different sources, while the power flow method is used to balance the load and renewable power. The study shows that integrating the HMPPT algorithm and power flow approach results in improved system performance, including increased power generation and reduced stress on the batteries. The study also proposes an accurate sizing method to further improve system efficiency. The study demonstrates the effectiveness of the proposed approach by presenting results for twelve different days with varying weather conditions. The results show that the proposed approach effectively manages the energy production and load, resulting in optimal system performance. This study provides valuable insights into the optimal control of hybrid renewable energy systems, and highlights the importance of considering different energy sources and optimal sizing for maximizing system efficiency. � 2023 by the authors.
Description
Keywords
design , hybrid MPPT , optimization , panels , solar battery storage , wind turbine , Battery storage , DC-DC converters , Electric load flow , Maximum power point trackers , Power control , Power management , Renewable energy resources , Secondary batteries , Solar panels , Solar power generation , Thermoelectricity , Battery storage , Battery systems , Energy productions , Hybrid MPPT , Optimal controls , Optimisations , Panel , Power flows , Solar battery storage , System efficiency , Wind turbines