Optimal Power Quality Control Model of Magnetic Latching Relay for Charging Station Based on Adaline

IF 0.6 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Nanoelectronics and Optoelectronics Pub Date : 2023-05-01 DOI:10.1166/jno.2023.3420
Yidan Hu
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Abstract

In order to eliminate the internal harmonics of the magnetic latching relay caused by the load input, an ADALINE-based magnetic latching relay power quality optimal control model for charging stations was constructed. Calculate the sampling point of the input signal through the ADALINE neural network, obtain the error signal between the input signal and the measured signal, use the VSLMS algorithm to continuously adjust the weight value to update the spectrum in real time, detect the harmonics existing in the magnetic latching relay, and use the harmonics. The droop control strategy calculates the amount of harmonic voltage that needs to be compensated, and participates in the on-off control of the magnetic latching relay by calculating the modulation wave difference formed by the fundamental wave and the harmonic voltage closed loop, eliminating the harmonics generated by the nonlinear load, and realizing electric energy optimal quality control. The experimental results show that the model can accurately detect and eliminate the internal harmonics of the magnetic latching relay caused by the load input, and has a better control effect on the power quality of the magnetic latching relay used in the charging station.
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基于Adaline的充电站磁闭锁继电器电能质量优化控制模型
为了消除负载输入引起的磁保持继电器的内谐波,建立了基于adaline的充电站磁保持继电器电能质量最优控制模型。通过ADALINE神经网络计算输入信号的采样点,得到输入信号与被测信号之间的误差信号,利用VSLMS算法连续调整权值实时更新频谱,检测磁保持继电器中存在的谐波,并利用这些谐波。下垂控制策略通过计算基波与谐波电压闭环形成的调制波差,计算出需要补偿的谐波电压量,参与磁保持继电器的通断控制,消除非线性负载产生的谐波,实现电能最优质量控制。实验结果表明,该模型能够准确地检测和消除负载输入引起的磁保持继电器的内部谐波,对充电站使用的磁保持继电器的电能质量有较好的控制效果。
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来源期刊
Journal of Nanoelectronics and Optoelectronics
Journal of Nanoelectronics and Optoelectronics 工程技术-工程:电子与电气
自引率
16.70%
发文量
48
审稿时长
12.5 months
期刊最新文献
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