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多端高压直流输电系统自适应无源控制

发布时间:2018-06-13 00:32

  本文选题:自适应无源控制 + 扰动观测器 ; 参考:《控制理论与应用》2017年05期


【摘要】:本文提出了一种基于扰动观测器的自适应无源控制(perturbation observer-based adaptive passive control,POAPC),并将其用于增加电压源型多端高压直流输电系统(voltage source converter-based multi-terminal high voltage direct current,VSC MTDC)的阻尼.首先定义一个扰动项,其包含多端口间的相互作用、未建模动态和未知时变外界干扰的综合效应.之后扩展一个虚拟状态来表征该扰动项,进而设计一个扰动观测器对其进行快速在线估计.该方法通过无源化向每个端口注入附加阻尼以改善系统暂态响应,并且不需要精确的系统模型或全局状态测量.基于四端VSC MTDC系统的4种算例表明:与传统PI控制、无源控制以及基于扰动观察器的滑动模态控制相比,POAPC由于不需要精确系统模型及全局状态测量而具有更高的应用灵活性;在各种运行条件下通过有效减少有功功率P_1和无功功率Q_1控制误差和超调量来获得更优的控制性能;在系统参数不确定场景下将有功功率P_2的峰值变化从11%减少至接近0,鲁棒性更强.
[Abstract]:In this paper, an adaptive passive control based on disturbance observer is proposed, which is used to increase the damping of voltage source multiterminal HVDC systems. First, a perturbation term is defined, which includes multi-port interaction, unmodeled dynamic and unknown time-varying external disturbances. Then a virtual state is extended to represent the disturbance term and a disturbance observer is designed to estimate the disturbance term online. In this method, additional damping is injected into each port to improve the transient response of the system by passive injection, and there is no need for accurate system model or global state measurement. Four examples based on four-terminal VSC MTDC system show that compared with traditional Pi control, passive control and sliding mode control based on perturbation observer, POAPC is more flexible in application because it does not need accurate system model and global state measurement. Under various operating conditions, better control performance can be obtained by effectively reducing the control error and overshoot of active power PAPL and reactive power QS-1. In the scenario of uncertain system parameters, the peak change of active power PSP _ 2 is reduced from 11% to nearly 0, which is more robust.
【作者单位】: 昆明理工大学电力工程学院;华南理工大学电力学院;
【基金】:国家重点基础研究发展计划(“973”计划)(2013CB 228205) 国家自然科学基金项目(51477055) 昆明理工大学自然科学研究基金资助项目— 省人才培养计划(KKSY201604044) 云南省教育厅科学研究基金项目(KKJB201704007)资助~~
【分类号】:TM721.1;TP273

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