Dynamic LADRC and modified indirect P&O algorithm based-power flow management of PV-BESS-grid integrated fast EV charging stations with G2V, V2G and V2H capability

• Published in: Journal of energy storage Vol. 112; p. 115505
• Main Authors: Yang, Yuqing, Xu, Jiazhu, Ibrahim, AL-Wesabi, Aboudrar, Imad, Shi, Zhenglu, He, Yang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.03.2025
• Subjects: Electric vehicles; Hybrid MIP&O-PI; LADRC; Power flow management system; Electric vehicles; LADRC; Power flow management system; Hybrid MIP&O-PI
• ISSN: 2352-152X
• DOI: 10.1016/j.est.2025.115505

The rapid growth of electric vehicles (EVs) has increased the demand for charging infrastructure, however, issues like limited range and inadequate charging facilities hinder widespread adoption. DC-fast charging stations (DC-FCSs) have emerged as a solution to reduce charging times and support industry expansion. Moreover, integrating DC-FCSs poses challenges in managing power flow, ensuring quality, and maintaining service stability, particularly in weak grid environments. For this reason, this study proposes a power flow management method for hybrid PV-BESS-grid integrated DC-FCSs to ensure stable, rapid, and reliable charging. The method leverages multiple energy sources and operational modes, including bidirectional energy flow (V2G and V2H), for flexible resource management. The cornerstone of these strategies is Linear Active Disturbance Rejection Control (LADRC), renowned for its ability to manage uncertainties and disturbances. Moreover, the modified indirect perturb & observe algorithm combined with PI control (MIP&O-PI) based maximum power point tracking (MPPT) is proposed for extracting the global maximum power (GMP) of PV panels. The LADRC approach is used to manage active and reactive power by acting on grid currents to ensure unity power factor and assists as a critical solution for addressing the dynamic nature of V2G and V2H operations. The proposed method is experimentally validated through Hardware-in-the-Loop (HIL) emulator, demonstrating its effectiveness in real-time applications. A comparative evaluation of the proposed MIP&O-PI-LADRC control against other MPPT methods highlights its superior efficiency, fast convergence, and enhanced the stability of the entire system. •Challenges and solutions for building reliable hybrid resource fast-charging stations are discussed.•A power management approach based LADRC is proposed, with G2V, V2G, and V2H.•A hybrid modified indirect MIP&O-PI based-tracker is proposed to design MPPT.•A comprehensive solution to the evolving landscape of EV integration into the grid•The robustness of MIP&O-PI-LADRC is confirmed by HIL to validates the implementation feasibility.