Research on fault ride through control method of NPC inverter in island microgrid based on model prediction
PANG Qingle, HE Chenbin, MA Zhaoxing, ZHENG Yang, YE Lin
School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266000, China
Abstract: With the rapid development of new energy and Microgrid, the fault ride through ability of inverter in island state is particularly important. Aiming at the problem of weak fault ride through ability of isolated point clamped (NPC) inverter under the existing control methods, a fault ride through control method of isolated microgrid NPC inverter based on model predictive control is proposed. High speed fault diagnosis is realized by comparing load voltage with reference voltage. The fault phase current is increased by increasing the reference current amplitude of the fault phase. By delimiting the calculation sector, eliminating redundant calculation, reducing the amount of calculation and avoiding the design of weight coefficient. In order to ensure power quality and reduce the delay caused by data measurement and algorithm calculation, a two-step prediction method is used to compensate the delay. The simulation model of three-phase LCL Island NPC inverter is built in Matlab / Simulink. The simulation results show that the control method can control the average value of three-phase current thd within 2% in normal operation of isolated island microgrid, control the value of fault phase current thd within 4% in case of fault, and control the value of non fault phase current thd within 1.5%, which can effectively improve the fault ride through capability of isolated island NPC inverter.
Keywords: NPC inverter;model predictive control;fault ride through;microgrid;island operation
2023, 49(9):180-187  收稿日期: 2022-6-21;收到修改稿日期: 2022-8-29
基金项目: 山东省自然科学基金资助项目（ZR2020ME194）
作者简介: 庞清乐（1969-），男，山东聊城市人，教授，硕士生导师，博士，主要研究方向为智能配电网故障检测与控制、分布式电源并网控制等。
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