基于模型预测控制的输入并联输出串联双有源桥变换器均压控制策略OA北大核心CSTPCD
Model predictive control-based voltage equalization control strategy for an input-parallel output-series dual active bridge converter
以双有源桥变换器(dual-active-bridge converters,DAB)为子模块、输入端并联输出端串联(input parallel output series,IPOS)构成的IPOS-DAB变换器是全直流风电系统实现风电直流汇集与送出的关键枢纽.IPOS-DAB变换器在工程实际应用中元器件参数存在差异,并串联时不同DAB子模块输出功率不均衡,导致DAB子模块输出电压电流不均衡,进而会造成子模块损坏的机率大增,极大地降低了系统的可靠性.传统均压控制存在可靠性较低、动态性能不足的问题,因此无法满足外部动态扰动时的控制要求.针对此问题,结合模型预测控制(model predictive control,MPC)方法的优势,采用模型预测控制对IPOS-DAB变换器进行均压控制.首先根据IPOS-DAB变换器建立预测模型,然后设计控制目标函数及整体控制策略.最后在Matlab/Simulink中搭建系统模型,在不同工况下与传统均压控制进行对比仿真验证,证明了所提控制策略具有更好的均压控制效果.
The IPOS-DAB converter,which takes dual-active-bridge converters(DAB)as a sub-module,and with input parallel output series(IPOS),is the key hub of a full-DC system realizing wind power DC convergence and delivery.The component parameters of an IPOS-DAB converter in actual engineering application are different,and the output power of different DAB modules when parallel/series connection is unbalanced results in DAB module output voltage and current imbalance.This will increase the sub-module damage rate,greatly reducing system reliability.Conventional voltage equalization control suffers from low reliability and insufficient dynamic performance,and therefore cannot meet the control requirements during external dynamic disturbances.To address these problems,this paper uses the advantages of a model predictive control(MPC)method and adopts it for voltage equalization control of an IPOS-DAB converter.First,the prediction model is established from the IPOS-DAB converter.Then,the control objective function and the overall control strategy are designed.Finally,the system model is constructed in Matlab/Simulink.Compared with traditional voltage equalization control in different working conditions,the proposed control strategy has a better voltage equalization control effect.
马智;蔺红;樊艳芳
新疆大学电气工程学院,新疆 乌鲁木齐 830049
双有源桥变换器单重移相控制全直流风电系统均压控制模型预测控制风电直流外送
DAB convertersingle phase shiftingall-DC wind power systemvoltage equalization controlmodel predictive controlwind power DC outflow
《电力系统保护与控制》 2024 (022)
12-21 / 10
This work is supported by the National Natural Science Foundation of China(No.52367012). 国家自然科学基金项目资助(52367012);新疆维吾尔自治区重点研发专项项目(2022B01020-3)
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