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文章摘要
基于扰动观测器的光伏逆变器鲁棒分数阶PID控制
Perturbation Observer based Robust Fractional-order PID Control for PV Inverters
Received:January 26, 2019  Revised:January 26, 2019
DOI:10.19753/j.issn1001-1390.2020.11.017
中文关键词: 光伏逆变器  最大功率跟踪  扰动观测器  鲁棒分数阶PID控制
英文关键词: PV inverter  maximum power point tracking  perturbation observer  robust fractional-order PID control
基金项目:国家电网公司科学技术项目
Author NameAffiliationE-mail
Zhou Yu Yancheng Power Supply Company, State Grid Jiangsu Electric Power Company zy2035@163.com 
Hu Weifeng Yancheng Power Supply Company, State Grid Jiangsu Electric Power Company 468000207@qq.com 
Xu Zheng Yancheng Power Supply Company, State Grid Jiangsu Electric Power Company 153847426@qq.com 
Qu Kaiping* School of Electric Power, South China University of Technology 13560361373@163.com 
Yu Tao School of Electric Power, South China University of Technology taoyu1@scut.edu.cn 
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中文摘要:
      本文设计了一款基于扰动观测器的鲁棒分数阶PID控制(perturbation observer based robust fractional-order PID control,PORF-PID)来实现光伏逆变器的最大功率跟踪。首先,将光伏逆变器的非线性、参数不确定性以及未建模动态聚合成一个扰动,并通过滑模扰动观测器(sliding-mode perturbation observer, SMPO)对其进行在线估计。随后,采用分数阶PID控制(fractional-order PID control,FPID)对该扰动估计进行实时完全补偿,从而实现不同工况下全局一致的控制性能。由于引入了分数阶控制框架,额外的控制器参数可进一步提高闭环系统的动态响应特性。为验证所提控制器的有效性,本文进行了两种算例研究,即光照强度变化和电网电压跌落。仿真结果表明,PORF-PID控制与常规PID控制、FPID控制和反馈线性化控制(feedback linearization control, FLC)相比,其能在各类工况下实现最快的动态响应以及最低的超调量。
英文摘要:
      This paper designs a perturbation observer based robust fractional-order PID control (PORF-PID) scheme to achieve the maximum power point tracking (MPPT) of photovoltaic (PV) inverters. At first, the PV inverter nonlinearities, parameter uncertainties and unmodelled dynamics are aggregated into a perturbation, which is then estimated online by a sliding-mode perturbation observer (SMPO). In addition, the perturbation estimate is fully compensated in the real-time by a robust fractional-order PID control (FPID), such that a global control consistency could be realized in the presence of various operation conditions. Due to the use of fractional-order control framework, the additional controller parameters could further improve the dynamical responses of the closed-loop system. Two case studies are carried out, e.g., solar irradiation variation and power grid voltage drop, to verify the effectiveness of the proposed approach. Simulation results demonstrate that PORF-PID control can achieve the fastest dynamical responses and the lowest overshoot in comparison to that of conventional PID control, FPID control, and feedback linearization control (FLC) under different operation conditions.
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