网络首发:2026-06-04,
纸质出版:2026
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赵霞, 马淑妹, 王英, 等. 光伏接入RPC变步长Adaline自抗扰低频振荡治理[J]. 太阳能学报, 2026,47(5):603-612.
赵霞, 马淑妹, 王英, et al. 光伏接入RPC变步长Adaline自抗扰低频振荡治理[J]. 2026, 47(5): 603-612.
赵霞, 马淑妹, 王英, 等. 光伏接入RPC变步长Adaline自抗扰低频振荡治理[J]. 太阳能学报, 2026,47(5):603-612. DOI: 10.19912/j.0254-0096.tynxb.2024-2308.
赵霞, 马淑妹, 王英, et al. 光伏接入RPC变步长Adaline自抗扰低频振荡治理[J]. 2026, 47(5): 603-612. DOI: 10.19912/j.0254-0096.tynxb.2024-2308.
为提高光伏通过铁路功率调节器(RPC)接入铁路供电系统的低频稳定性
提出一种RPC变步长自适应神经网络(Adaline)自抗扰模型预测控制策略。首先
分析光伏接入铁路供电系统运行原理
并建立光伏和RPC的单相供电臂数学模型;其次
分析传统模型预测控制和自抗扰控制抑制系统扰动的特点
针对自抗扰控制器参数整定难度大的问题
进行相应改进
采用变步长Adaline实现参数在线整定抑制系统扰动
提高新能源光伏系统接入铁路供电系统低频稳定性;最后
经测试对比
所提策略提高系统低频稳定性
降低系统电流总谐波畸变率
兼顾直流电压快速响应与超调抑制
避免自抗扰控制器的参数整定。
In order to improve the low-frequency stability of photovoltaic integration into the railway power supply system through the railway power conditioner (RPC)
RPC variable-step-size adaptive neural network (Adaline) self-immune model predictive control strategy was proposed. Firstly
the operation principle of photovoltaic access to railway power supply system was analyzed
and the mathematical model of photovoltaic and RPC single-phase power supply arm were established. Secondly
the characteristics of the traditional model predictive control and ADRC in suppressing system disturbances were analyzed. In view of the difficulty of parameter setting of active disturbance rejection controller
the online parameter tuning using a variable-step-size Adaline was implemented to suppress system disturbance
and the low frequency stability of new energy photovoltaic system was im-proved when it was integrated into railway power supply system. Finally
After testing and comparison
the proposed strategy improves the low frequency stability of the system
reduces the total harmonic distortion rate of the system current
takes into account the fast response of DC voltage and overshoot suppression
and avoids the parameter tuning of the ADRC controller.
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