基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究

马幼捷; 胡钰; 周雪松; 闫凤祥; 白鑫; 陶珑

doi:doi:10.19912/j.0254-0096.tynxb.2024-0793

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基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究

更新时间：2026-02-06

- 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究
- 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究
- 太阳能学报 2026年47卷第1期页码：202-213
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0793
  中图分类号： TM46
- 网络首发：2026-02-05，
  
  纸质出版：2026-02-05
- 稿件说明：
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马幼捷, 胡钰, 周雪松, 等. 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究[J]. 太阳能学报, 2026,47(1):202-213.

马幼捷, 胡钰, 周雪松, et al. 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究[J]. 2026, 47(1): 202-213.
马幼捷, 胡钰, 周雪松, 等. 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究[J]. 太阳能学报, 2026,47(1):202-213. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0793.

马幼捷, 胡钰, 周雪松, et al. 基于TD3强化学习的光储微网双向DC-DC变换器自抗扰控制研究[J]. 2026, 47(1): 202-213. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0793.

摘要

考虑到高比例新能源接入带来的不确定性问题会导致微电网直流母线电压的大幅波动难以平抑

该文提出一种基于双延迟深度确定性策略梯度算法（TD3）强化学习的双向 DC-DC 变换器的自抗扰控制策略。首先

利用线性扩张状态观测器进行系统重构来实现对总扰动的估计补偿

并就控制策略的跟踪性和抗扰性进行频域分析。接着

通过大量的仿真交互自学习获得观测器参数来智能调节神经网络的权值更新方式

优化奖励函数形式

并在线利用网络进行参数实时调度

使其充分训练以实现近似最优控制律。最后

利用数字仿真平台和小功率实验验证了在多工况下所提控制策略较双闭环 PI控制和传统线性自抗扰控制具有更小的电压偏差及更快的响应速度等优越的动稳态性能

有效提升了直流母线电压的抗扰能力。

Abstract

Considering the uncertainty caused by the high proportion of renewable energy integration

leading to significant fluctuations in the DC bus voltage of microgrids

this paper proposes an active disturbance rejection control strategy for bidirectional DC-DC converter based on twin delayed deep deterministic policy gradient （TD3） reinforcement learning. Firstly

a linear extended state observer was used for system reconstruction to estimate and compensate for total disturbances

and frequency-domain analysis were conducted on the tracking and anti-interference ability of the control strategy. Subsequently

a large amount of simulation self-learning was used to obtain observer parameters to intelligently adjust the weight update method of the neural network

optimize the form of the reward function

and utilize the online network for real-time parameter scheduling

enabling sufficient training to achieve an approximate optimal control law. Finally

digital simulation platform and low-power experiment were used to verify that the proposed control strategy has superior dynamic and steady-state performance

such as smaller voltage deviation and faster response speed under multiple operating conditions

compared to PI control and traditional linear active disturbance rejection control

effectively improving the anti-interference ability of DC bus voltage.

关键词

Keywords

references

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