Adaptive control strategy for energy management in a grid-connected Battery Energy Storage System using a bidirectional Vienna rectifier

• Published in: Journal of energy storage 2024-12, Vol.104, p.114382, Article 114382
• Main Authors: Elaadouli, Nabil, Lajouad, Rachid, Magri, Abdelmounime El, Mansouri, Adil, Elmezdi, Karim
• Format: Article
• Language: English
• Subjects: Battery Energy Storage System; Battery life extension; Grid stability; Nonlinear controller; Power flow management; SOC; Vienna rectifier
• ISSN: 2352-152X
• DOI: 10.1016/j.est.2024.114382

Battery Energy Storage Systems (BESS) are crucial for providing essential grid services such as frequency regulation, voltage support, and energy arbitrage. Advanced control and optimization algorithms are essential to meet operational requirements while preserving battery lifetime. Despite significant advancements, insights into BESS applications remain limited due to low data transparency. This paper presents a novel adaptive control strategy for a grid-connected Battery Energy Storage System (BESS) using a bidirectional Vienna rectifier. Unlike existing approaches, our strategy is specifically designed to manage power flow between the grid and the BESS, enhancing both grid stability and energy efficiency by addressing system nonlinearities and uncertainties. The integration of a real-time adaptive observer for state-of-charge (SOC) estimation sets this study apart, as it compensates for inaccuracies caused by battery aging and temperature variations. Simulation results demonstrate significant improvements in grid stability, energy management, and battery longevity. Specifically, the control strategy led to a 15% reduction in frequency deviations, a 6.71% improvement in energy efficiency, and a 8% increase in battery lifespan. These contributions provide a new perspective on optimizing BESS applications, advancing both technical and operational frameworks for energy storage in modern grids. •Innovative Control Strategy: Adaptive control for grid-connected BESS.•Enhanced Grid Stability: Improved power flow and grid reliability.•Real-time SOC Estimation: Adaptive observer for accurate battery SOC.•Optimized Energy Management: Maximized energy use and battery health.•Simulation and Validation: Robust control tested under varied conditions.