Research on Photovoltaic Low Voltage Ride through Based on New Model Predictive Control

Zhe Jing, Haotian Zhang, Peihao Yang, Zipeng Zhou
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引用次数: 2

Abstract

In order to keep the photovoltaic power generation unit from off grid, the model predictive control (MPC) is used to realize the fast tracking and large-scale regulation of the current when the grid side voltage sag accident occurs. Model predictive control (MPC), As a new control strategy, MPC has been widely concerned in the field of photovoltaic grid connected inverter control because of its strong ability of fast dynamic response, simultaneous control of multiple targets and good output characteristics. However, the control strategy has the problem of large amount of calculation, which requires a higher performance processor, which undoubtedly increases the cost and is not conducive to the promotion of the control algorithm. In order to solve the problem of system steady-state error caused by model parameter mismatching in the regulation process, an adaptive objective function is set to improve the accuracy of reactive power distribution. The above control strategy is simulated by Matlab / Simulink to verify that the proposed scheme can make the PV power station with LVRT capability and more scientific reactive power regulation.
基于新模型预测控制的光伏低压穿越研究
为了防止光伏发电机组离网,采用模型预测控制(MPC)实现了电网侧电压骤降事故发生时电流的快速跟踪和大规模调节。模型预测控制(MPC)作为一种新型的控制策略,由于其具有快速动态响应能力强、多目标同时控制能力强、输出特性好等优点,在光伏并网逆变器控制领域受到了广泛关注。但是,控制策略存在计算量大的问题,需要更高性能的处理器,这无疑增加了成本,不利于控制算法的推广。为解决调节过程中模型参数不匹配导致的系统稳态误差问题,设置自适应目标函数,提高无功分配的精度。通过Matlab / Simulink对上述控制策略进行了仿真,验证了所提方案能够使光伏电站具有LVRT能力,无功调节更加科学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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