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基于四级编码与弱光换流的超低功耗电子式电流互感器
Ultra-Low Power Electronic Current Transducer Based on 4-Level Encoding and Weak-Light Commutation
| 作者 | Yong Zhang · Wenhao Xu · Xiangyu Shen · Zhichao He · Nan Xie |
| 期刊 | IEEE Transactions on Power Delivery |
| 出版日期 | 2025年7月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 深度学习 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 有源电子电流互感器 高压侧供电方案 低功耗 4 级抗干扰解码 实验结果 |
语言:
中文摘要
针对有源电子式电流互感器(ECT)高压侧供电方案存在的小电流死区、能量转换效率低等问题,提出一种高压侧功耗低于4 mW的ECT设计。该方案采用电池供电,利用驱动电压为1.8 V、有效占空比0.16的发光二极管(LED)弱光模式工作,并通过双半桥结构的低功耗驱动电路将两个数字信号合并为单路四级信号,使LED功耗降低50%。低压侧采用融合支持向量机与循环神经网络的四级抗干扰解码方法。实验结果表明,该ECT高压侧最大功耗为3.14 mW,精度达0.2S级;联合解码算法可准确识别所有四级实验数据及由自编码器与生成对抗网络扩展的数据集,具备优良的泛化能力与抗噪性能。
English Abstract
The power supply solutions for the high-voltage side of active electronic current transducers (ECTs) suffer from dead zones in low currents, low energy conversion efficiency and so on. This paper proposes an ECT with a power consumption less than 4 milliwatts (mW) on the high-voltage side, which employs a battery-powered scheme to solve the problems. This scheme utilizes Light-emitting Diodes (LEDs) operating in a weak light mode with 1.8 V driving voltage and effective duty cycle of 0.16. A low-power driver, composed of double half-bridge, is adopted to merge two digital signals into a single 4-level one, halving the power consumption of the LEDs. A 4-level anti-interference decoding method integrating support vector machine and recurrent neural network is employed in the low voltage side. The experimental results demonstrate that the power consumption on the high-voltage side of ECT has a maximum value of 3.14 mW, with accuracy class of 0.2 S. The combined algorithm can correctly decode all the 4-level experimental datasets, as well as the expanded dataset generated by autoencoder and generative adversarial networks. Furthermore, it also exhibits excellent generalization capabilities and resistance to noise interference.
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SunView 深度解读
该超低功耗ECT技术对阳光电源储能与光伏产品线具有重要应用价值。其3.14mW功耗设计和0.2S级精度可直接应用于ST系列储能变流器和SG光伏逆变器的电流采样环节,解决高压侧供电难题,降低辅助电源损耗。四级编码弱光通信方案为PowerTitan大型储能系统的多点电流监测提供低成本隔离方案。融合SVM与RNN的抗干扰解码算法可增强iSolarCloud平台的电流数据准确性,提升智能诊断能力。该技术还可应用于充电桩计量系统,降低待机功耗,符合能效优化趋势,为阳光电源全产品线的传感器国产化和智能化升级提供技术储备。