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AI based Battery Management with Hybrid Power System

Shrusti

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Abstract

The fastest-growing portion of the world's energy demand is being met by renewable energy sources. While traditional energy sources have many advantages over renewable energy sources, the main drawback is the intermittent nature of the latter's supply. By creating a hybrid system with energy sources and battery storage devices that can also be connected to the grid, this problem is partially addressed. This paper focused on design of hybrid PV Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The non-linear, time-varying, and lengthy battery charging process makes it challenging to use conventional control methods to obtain the greatest energy management performance. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The intelligence is provided by the fuzzy logic controller. The entire designed system is modeled and simulated using MATLABSimulink environment.

Copyright

Copyright © 2023 Shrusti . This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS30500041932
Publish Date: 2023-05-31 15:04:42
ISSN: 2321-9653
Publisher: ijprems
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