Development of an Intelligent Optimization Model for Hybrid Solar and Wind Energy Systems
  • Author(s): Ene Chinedu Donald ; Ogbonna B. O
  • Paper ID: 1705898
  • Page: 159-176
  • Published Date: 10-06-2024
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 7 Issue 12 June-2024
Abstract

The growing demand for sustainable and efficient energy sources has led to increased interest in hybrid solar-wind energy conversion systems. This research focuses on the comprehensive study of the modelling, control, and optimization aspects of hybrid solar-wind energy converters, with a specific emphasis on the implementation of Control Algorithm for Optimizing the Energy Storage Management. The hybrid system integrates both solar and wind energy sources to harness renewable energy in a synergistic manner, addressing the intermittency and variability associated with individual sources. A detailed mathematical model is developed to capture the dynamic behaviour of the hybrid system under various environmental conditions. The modelling framework considers the intricate interactions between the solar and wind components, ensuring accuracy in predicting the system's performance. The study also delves into the design and implementation of advanced control strategies tailored for the hybrid solar-wind energy converter. Control algorithms are developed in MATLAB Simulink to enhance the system's stability, efficiency, and response to varying environmental conditions. For storage efficiency, the proposed model achieved a storage efficiency of 90% compared to the existing work's efficiency of 85%, indicating a 5% improvement in storage efficiency with the proposed model. Regarding reliability, the proposed model achieved a reliability percentage of 98.63% compared to the existing work's reliability of 95%, showcasing a notable 3.63% enhancement in reliability with the proposed model. These improvements in storage efficiency and reliability demonstrate the effectiveness of the proposed model in optimizing energy storage management and ensuring reliable operation.

Keywords

Controller, Intelligent Optimization, MMPT, Renewable Energy

Citations

IRE Journals:
Ene Chinedu Donald , Ogbonna B. O "Development of an Intelligent Optimization Model for Hybrid Solar and Wind Energy Systems" Iconic Research And Engineering Journals Volume 7 Issue 12 2024 Page 159-176

IEEE:
Ene Chinedu Donald , Ogbonna B. O "Development of an Intelligent Optimization Model for Hybrid Solar and Wind Energy Systems" Iconic Research And Engineering Journals, 7(12)