MMC的新型模型预测控制与子模块优化均压

发布时间：2018-03-20 20:21

本文选题：换流器　切入点：模型预测控制　出处：《电力电子技术》2017年10期 　论文类型：期刊论文

【摘要】：模块化多电平换流器(MMC)的模型预测控制是一种有效的非线性控制方法,但电容电压平衡控制效果不理想,当控制系统中存在多个控制目标时,系统最优控制目标函数选取存在一定困难。针对以上问题,提出了一种外环采用新型神经元比例-积分-微分(PID)控制、内环采用电流模型预测控制的双闭环控制策略。首先推导了考虑电容充放电过程的MMC离散状态方程;其次将综合考虑控制目标电流跟踪、子模块(SM)均压和器件开关频率建立了代价方程,针对控制目的侧重点不同,同时保证其他指标满足系统要求,设计了3种控制参数方案以供选择。最后通过搭建9电平MMC仿真控制系统和小功率实验平台对所述理论进行验证。结果表明了此处所提控制方案的有效性和可行性。
[Abstract]:The model predictive control of modularized multilevel converter (MMC) is an effective nonlinear control method, but the effect of capacitive voltage balance control is not ideal. When there are many control objectives in the control system, It is difficult to select the optimal control objective function of the system. In view of the above problems, a new type of neuron proportional integral-differential PID-control is proposed for the outer loop. The inner loop adopts a double closed loop control strategy based on current model predictive control. Firstly, the discrete state equation of MMC considering capacitive charge-discharge process is derived; secondly, the control target current tracking is considered synthetically. The cost equation of submodule SMV and device switching frequency is established. The emphasis of control is different, and other indexes meet the requirements of the system. Three control parameter schemes are designed for selection. Finally, the theory is verified by setting up a 9-level MMC simulation control system and a small power experimental platform. The results show that the proposed control scheme is effective and feasible.
【作者单位】：空军工程大学航空航天工程学院;
【基金】：国家973计划(2015CB755805)~~
【分类号】：TM46

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