Abstract

Going by the recent trends, the application of Renewable Energy Sources (RESs) has grown significantly across the world. Still, the integration of grid with photovoltaic (PV), wind and battery, remains a critical challenge as it results into power quality issues. To address the increasing need for electricity caused by industrialization and growing population, hybrid PV, wind, and battery combinations are used in this study. To accomplish an optimal energy management, this research proposes the multi- objective multi-verse optimization (MOMVO) approach, along with the modified perturb and observe (MP&O) technique. The proposed MOMVO-MP&O controller operates between the wind turbine and the battery storage system, for providing optimal power distribution and stability. The suggested model is evaluated alongside three other popular controller combinations that are, multi-verse optimization-perturb and observe (MVO-P&O), MVO-MP&O, and MOMVO-P&O. A comparative analysis is conducted, with existing methods namely, Modified-Fuzzy Direct Power Control (MF-DPC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) also. From the analyzed results of this comparison, the proposed MOMVO-MP&O achieves lesser Total Harmonic Distortion (THD) of 1.86%, which demonstrates its efficiency in addressing power quality issues using hybrid RES systems.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.