Power Plants with Battery Energy Storage System AI-Driven Adaptive Power Management for Hybrid
DOI:
https://doi.org/10.15662/IJEETR.2026.0802362Keywords:
Artificial Intelligence, Hybrid Renewable Energy System, Battery Energy Storage System (BESS), Power Management, Solar Energy, Wind Energy, Internet of Things (IoT), Embedded Systems, Smart GridAbstract
The usage of the renewable energy such as solar and wind has increased drastically in the recent years. Integrating this energy into modern power system create problem like unstable power, insufficient usage and power wastage. This work proposes an AI-driven adaptive power management for hybrid renewable energy systems integrated with a Battery Energy Storage System (BESS).
It uses an AI to control and manage the power to make the system efficient. An intelligent control approach, referred to as HybridVolt AI, is employed to dynamically manage power flow by selecting the most appropriate energy source based on real-time generation conditions and system requirements. A Battery management system is used to continuously monitor the voltage and the current level to prevent the battery from overcharging and to ensure safe operation of the system.
The system further enhances reliability through automatic protection mechanisms that isolate the load under abnormal conditions. In addition to that it also had IoT-enabled monitoring facilities for remote access to operational data. The proposed framework demonstrates improved energy efficiency, enhanced system reliability, and effective utilization of renewable resources. By integrating intelligent decision-making with hybrid energy systems, the approach provides a scalable and practical solution for advanced power management in modern energy infrastructures.
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