节点文献
基于模糊自适应PI控制和模型预测控制的MMC-HVDC控制方法
An improved modular multilevel converter-high voltage direct current (MMC-HVDC) control method based on fuzzy adaptive proportional integral (PI) integrating model predicitve control
【摘要】 模块化多电平换流器的高压直流输电(modular multilevel converter-high voltage direct current, MMC-HVDC)系统包含外环控制器和内环控制器,是柔性直流输电系统的重要组成部分。传统的外环比例-积分(proportional-integral, PI)控制器的参数固定,没有自适应能力,稳定性和抗干扰性能较差;同时传统的内环控制器是在dq旋转坐标系下的解耦控制系统,其结构复杂,容易出现超调。因此,提出一种基于模糊自适应PI控制和模型预测控制(model predictive control, MPC)的MMC-HVDC控制方法,以简化系统结构,增强动态响应性能,进而使用准比例谐振(proportional resonance, PR)环流抑制控制器来替换传统环流抑制控制器,消除静差值。在Power Systems Computer Aided Design(PSCAD)仿真平台搭建MMC-HVDC系统模型,分别对比了改进前后内外环控制器的性能和环流抑制控制器的环流抑制效果,结果验证了所提方法的有效性和实用性。
【Abstract】 The modular multilevel converter-high voltage direct current(MMC-HVDC) system is an important part of the flexible DC transmission system and includes an outer loop controller and an inner loop controller. The traditional outer loop proportional integral(PI) controller has fixed parameters, no adaptive ability, poor stability and poor anti-interference performance. In addition, the traditional inner loop controller is a decoupled control system under the dq rotating coordinate system, and its structure is complex and prone to overshoot. Therefore, we propose a MMC-HVDC control method based on fuzzy adaptive PI control and model predictive control(MPC), which simplifies the system structure, enhances the dynamic response performance, and then uses the proportional resonance(PR) circulation current suppression controller to replace the traditional circulation suppression controller and eliminate the static difference value. The MMC-HVDC system model is built on the Power Systems Computer Aided Design(PSCAD) simulation platform, and the performance of the improved inner and outer loop controllers and the circulation suppression effect of the circulation suppression controller are compared. The results verify the effectiveness and practicability of the proposed method.
【Key words】 high voltage direct current; modular multilevel converter; fuzzy adaptive PI control; model predictive control;
- 【文献出处】 北京化工大学学报(自然科学版) ,Journal of Beijing University of Chemical Technology(Natural Science Edition) , 编辑部邮箱 ,2023年06期
- 【分类号】TM721.1;TP273
- 【下载频次】130