| 引用本文: | 张航,李耀华,李子欣,赵聪,高范强,徐飞,王平.基于扩张状态观测器的直流变压器模型预测控制策略[J].电力自动化设备,2021,41(7): |
| ZHANG Hang,LI Yaohua,LI Zixin,ZHAO Cong,GAO Fanqiang,XU Fei,WANG Ping.Model predictive control strategy of DC transformer based on extended state observer[J].Electric Power Automation Equipment,2021,41(7): |
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| 基于扩张状态观测器的直流变压器模型预测控制策略 |
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张航1,2, 李耀华1,2, 李子欣1,2, 赵聪1, 高范强1,2, 徐飞1,2, 王平1
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1.中国科学院 电工研究所 电力电子与电气驱动重点实验室，北京 100190;2.中国科学院大学 电子电气与通信工程学院，北京 100049
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| 摘要: |
| 针对以移相双有源桥为功率单元的多模块输入串联输出并联型直流变压器(ISOP-DCT)，为提高系统面对输入电压变化及负载突变等复杂工况下的动态响应特性，提出一种基于扩张状态观测器(ESO)的模型预测控制(ESO-MPC)策略，分析并建立了考虑各功率单元能量均衡传输时系统简化离散2步预测模型，同时利用ESO计算了预测模型中由输出端口负载电流及内部死区效应所引起的功率偏差电流。所提出的ESO-MPC策略可有效提高ISOP-DCT动态响应速度及抗干扰能力，同时减少输出端口电流传感器的使用。MATLAB/Simulink中搭建的2.25 kV/750 V ISOP-DCT模型的仿真结果及实验样机测试结果验证了所提控制策略的正确性和有效性。 |
| 关键词: 直流变压器 扩张状态观测器 模型预测控制 动态响应特性 无电流传感器 |
| DOI：10.16081/j.epae.202104002 |
| 分类号:TM421;TM761 |
| 基金项目:中国科学院战略性先导科技专项(A类)(XDA21050302) |
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| Model predictive control strategy of DC transformer based on extended state observer |
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ZHANG Hang1,2, LI Yaohua1,2, LI Zixin1,2, ZHAO Cong1, GAO Fanqiang1,2, XU Fei1,2, WANG Ping1
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1.Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China;2.School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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| Abstract: |
| For the multi-module ISOP-DCT(Input Series Output Parallel type DC Transformer) with PSDAB(Phase-Shift Dual Active Bridge) as the power unit, to improve the dynamic response characteristics of system under complex operating conditions such as input voltage changes and sudden load changes, the ESO-MPC(Extended State Observer based Model Predictive Control) strategy is proposed. The simplified discrete two-step prediction model of system considering the energy balance transmission of each power module is analyzed and established. Meanwhile, the power deviation current caused by the external port load current and the internal dead zone effect in the prediction model is calculated by ESO(Extended State Observer). The proposed ESO-MPC strategy can not only effectively improve the dynamic response and anti-interference ability of the ISOP-DCT, but also reduce the use of port current sensor. Simulative results based on a 2.25 kV/750 V ISOP-DCT model in MATLAB/Simulink and the experimental results on a laboratory prototype verify the correctness and effectiveness of the proposed control strategy. |
| Key words: DC transformer extended state observer model predictive control dynamic response characteristic current sensorless |
