模块化-多电平变换器高压直流系统的长期预测电流控制

Zhenbin Zhang, Mahmoud T. Larijani, W. Tian, Xiaonan Gao, José R. Rodríguez, R. Kennel
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引用次数: 9

摘要

高压直流输电系统在海上风能和远距离能源传输系统中发挥着越来越重要的作用。模块化多电平变换器(MMC)具有良好的模块化、可扩展性和固有的容错能力,是一种很有吸引力的高压直流系统拓扑结构。对于这种拓扑结构,模型预测控制(MPC)是一种很有前途的替代方案。特别是,在非常低的开关频率下,长视距MPC在较小的thd方面提供了更好的性能。然而,它的计算负荷被视为一个巨大的挑战。本文将长视界模型预测电流控制(MPCC)应用于七级MMC-HVDC系统。一种开关和外推和电容器电压分选技术被开发和结合,以减少总计算负担。以65 MVA背靠背7L-MMC-HVDC配置的仿真结果评估了所提出的控制策略的性能。
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Long-horizon predictive current control of modular-multilevel converter HVDC systems
High voltage direct current (HVDC) transmission systems play an increasingly important role in offshore wind energy and long distance energy transmission systems. Modular multilevel converter (MMC) is an attractive topology for HVDC systems, due to its good modularity, scalability and inherent fault tolerant capabilities. For such topology, model predictive control (MPC) is a promising alternative. In particular, the long-horizon MPC provides better performances in terms of smaller THDs at very low switching frequency. However, its computational load is seen as a big challenge. In this paper we apply a long-horizon model predictive current control (MPCC) to a seven-level MMC-HVDC system. A switch and extrapolation and capacitor voltage sorting techniques are developed and combined to reduce the total computational burden. Performances of the proposed control strategy are evaluated with simulation results at a 65 MVA back-to-back 7L-MMC-HVDC configuration.
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