Weather-Driven Priority Charging for Battery Storage Systems in Hybrid Renewable Energy Grids

TL;DR

This paper introduces a weather-informed priority charging algorithm for battery storage in renewable energy grids, improving efficiency, reducing degradation, and enhancing grid stability through optimized energy management.

Contribution

It proposes a novel large-scale interconnected renewable network with a real-time weather-based priority charging system for batteries, addressing efficiency and longevity challenges.

Findings

Enhanced energy utilization efficiency

Reduced battery degradation rates

Improved grid stability and reliability

Abstract

The integration of renewable energy into the power grid is often hindered by its fragmented infrastructure, leading to inefficient utilization due to the variability of energy production and its reliance on weather conditions. Battery storage systems, while essential for stabilizing energy supply, face challenges like sub-optimal energy distribution, accelerating battery degradation, and reducing operational efficiency. This paper presents a novel solution to these challenges by developing a large-scale, interconnected renewable energy network that optimizes energy storage and distribution. The proposed system includes strategically placed battery storage facilities that stabilize energy production by compensating for fluctuations in renewable output. A priority charging algorithm, informed by real-time weather forecasting and load monitoring, ensures that the most suitable battery systems are charged under varying conditions. Within each storage facility, a secondary priority charging algorithm minimizes battery degradation by ranking batteries based on critical parameters such as state of health (SoH) and state of charge (SoC) and deciding which to charge. This comprehensive approach enhances the efficiency and longevity of battery storage systems, offering a more reliable and resilient renewable energy infrastructure.