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优化模型预测控制与级联控制策略下MMC运行特性对比 被引量:9

Comparison of Operating Characteristics of Modular Multilevel Converter Under Optimized Model Predictive Control Strategy and Cascaded Control Strategy
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摘要 对于模块化多电平换流器,模型预测控制具有预测状态多,计算量庞大,现有处理器无法实现的缺点。为此,结合子模块电容电压排序算法,提出一种优化的模型预测控制策略,大幅减小了模型预测控制算法的计算量,使得该算法应用于模块化多电平换流器成为现实。搭建了23电平模块化多电平换流器仿真与实验平台,并与目前常用的基于比例积分(proportion integration,PI)级联控制器的闭环矢量控制策略进行了对比,结果验证了所提策略的可行性与优越性。 There are such defects as too much states to be predicted, heavy burden of calculated amount and unable to be implemented by existing processors in the model prediction control for modular multilevel converters (MMC). Combining with sub-modules caPacitor voltage sorting strategy, an optimized model predictive control (OMPC) strategy is proposed, thus the calculated amount of model predictive control (MPC) algorithm is evidently reduced and it comes true to apply this algorithm in MMC. A simulation and experimental platform for 23-level MMC is constructed and compared with frequently used closed-loop vector control strategy based on cascaded proportion integration (PI) controller, and the comparison results show that the proposed control strategy is of feasibility and superiority.
出处 《电网技术》 EI CSCD 北大核心 2015年第2期393-399,共7页 Power System Technology
基金 国家863高技术基金项目(2012AA050206)~~
关键词 模块化多电平换流器 模型预测控制 级联控制 电能质量 响应速度 modular multilevel converter modelprediction control cascaded control power quality responsespeed
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