高压无变压器电池储能系统自适应优化荷电状态平衡控制

IF 7.2 1区工程技术 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Industrial Electronics Pub Date : 2025-04-01 DOI:10.1109/TIE.2025.3553171

Xiqi Wu;Rui Li;Chao Huang;Hui Li;Xu Cai

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引用次数: 0

摘要

荷电状态平衡对于无高压变压器电池储能系统（BESS）充分利用其能量容量具有重要意义。然而，传统的方法在选择合适的平衡系数时面临挑战，要么是参数保守导致均衡速度不够快，要么是电池过电流和SMs过调制值过大。为了克服这一挑战，通过理论分析揭示了过流和过调制的机理，并推导了四个最大系数对应的四个临界边界条件。为此，本文提出了一种具有自适应均衡系数的SOC最优平衡控制方法。35kV/25MW/50MWh的实验结果验证了所提控制方法的有效性，并与保守控制方法进行了性能比较。

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Self-Adaptive and Optimal SOC Balancing Control for High Voltage Transformerless Battery Energy Storage System

State of charge (SOC) balancing is significant for high voltage transformerless (HVT) battery energy storage system (BESS) to utilize their full energy capacity. However, traditional methods face challenges in selecting proper balancing coefficient, resulting in either insufficient equalization speed due to conservative parameter, or battery overcurrent and SMs over-modulation with too large value. To overcome this challenge, the mechanism of overcurrent and overmodulation is revealed by theoretical analysis and four maximum coefficients corresponding four critical boundary conditions are deduced. Therefore, an optimal SOC balancing control with self-adaptive equalization coefficient is proposed in this article and is adaptive. 35kV/25MW/50MWh experimental results validate the effectiveness of the proposed control and its performance is compared with respect to conservative methods.

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来源期刊

IEEE Transactions on Industrial Electronics 工程技术-工程：电子与电气

CiteScore

16.80

自引率

9.10%

发文量

1396

审稿时长

6.3 months

期刊介绍： Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.