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储能系统技术 ★ 5.0

基于滑模控制与扩展状态观测器的SMES-DVR电压响应增强

Enhanced Voltage Response of SMES-DVR via Sliding Mode Control With Extended State Observer

作者 Pengfei Wang · Yanan Wu · Jing Lu · Liuwei Xu · Jun Li · Bin Xu
期刊 IEEE Transactions on Industry Applications
出版日期 2025年6月
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 超导磁储能动态电压恢复器 直流母线电压波动 高阶滑模控制 扩展状态观测器 补偿性能
语言:

中文摘要

基于超导磁储能的动态电压恢复器(SMES - DVR)能够在数毫秒内提供更高的功率,以补偿电压扰动。然而,SMES - DVR的非线性特性和负载扰动通常会导致直流母线电压波动,从而降低了控制精度和响应性能。为解决SMES - DVR中直流母线电压波动这一关键难题,本文提出了一种基于扩展状态观测器的高阶滑模控制(ESO - HOSMC)的新型复合控制策略。ESO - HOSMC控制方法将基于扩展状态观测器的扰动估计与超螺旋高阶滑模控制相结合,有效平衡了超导磁体充放电过程中快速响应与运行稳定性之间的矛盾,同时降低了敏感负载电压的总谐波畸变率。本文进行了包括控制器建模、设计和稳定性分析在内的理论分析。此外,在不同的电压骤降或骤升场景下,对SMES - DVR的ESO - HOSMC控制、模型预测控制(MPC)和传统PI控制的性能进行了比较。结果表明,所提出的控制方案有效提升了SMES - DVR的补偿性能和直流母线电压的稳定性。

English Abstract

A DVR based on superconducting magnet energy storage (SMES-DVR) could offer higher power in milliseconds to compensate for the voltage disturbance. However, nonlinearities and load disturbances of SMES-DVR usually induce voltage fluctuations on DC-link, which reduces the accuracy and response performance. A novel composite control strategy based on high-order sliding mode control with extended state observer (ESO-HOSMC) is proposed to address the critical challenge of DC-link voltage fluctuations in SMES-DVR. By synergizing extended state observer-based disturbance estimation with super-twisting high-order sliding mode control, ESO-HOSMC control method effectively balances the contradiction between rapid response and operational stability during the charging and discharging process of the superconducting magnet, while reducing total harmonic distortion of sensitive load voltage. Theoretical analysis containing controller modeling, designing and stability analysis has been demonstrated. In addition, performances among the ESO-HOSMC control, model predictive control (MPC) and conventional PI control of SMES-DVR have been compared under different voltage sag or swell scenarios. The results show that the proposed control scheme effectively elevates compensation performance and the stability of DC bus voltage for SMES-DVR.
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SunView 深度解读

该滑模控制与ESO复合策略对阳光电源ST系列储能变流器及PowerTitan系统的电压暂态响应优化具有直接应用价值。SMES-DVR的毫秒级高功率补偿特性与储能PCS的电压支撑需求高度契合,ESO实时扰动估计技术可增强ST储能系统在电网电压跌落时的快速响应能力,提升构网型GFM控制模式下的电压稳定性。该方法对抑制储能系统直流侧电压波动、改善并网点电压质量具有工程价值,可融入现有VSG控制架构,增强iSolarCloud平台的电能质量监测维度,特别适用于弱电网场景下的大型储能电站暂态性能优化。