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H桥级联型SVG模型预测控制 被引量:20

Model Predictive Control of Cascaded H-Bridge Static Var Generator
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摘要 针对H桥级联型静止无功发生器(static var generator,SVG),提出了一种模型预测控制策略。实际交流侧输出电压值与理想的输出电压间存在电压残差,电压残差的存在会使电流跟踪存在误差。为此,利用电压残差与前一时刻的电流值进行反馈校正,构成了闭环优化。利用级联型SVG存在大量开关冗余状态的特点,实现了直流侧电容电压均衡控制,同时降低了开关器件损耗。搭建了仿真平台和试验样机,仿真和实验结果验证了所提策略的有效性。 A model predictive control (MPC) strategy for cascaded H-bridge static var generator (SVG) is proposed. Since there is residual voltage between the actual output voltage and ideal output voltage at AC side, and it leads to the error in current tracking. For this reason, a feedback correction is performed by residual voltage and the current value at previous moment to form closed-loop optimization. Utilizing the feature that there are a lot of redundant switch states, the balancing control of capacitor voltage at DC side is implemented, meanwhile the loss of switching components is reduced. A simulation platform and an experimental prototype are constructed, and the effectiveness of the proposed control strategy is validated by results of simulation and experiments.
出处 《电网技术》 EI CSCD 北大核心 2015年第1期83-89,共7页 Power System Technology
基金 国家自然科学基金重点项目(51237003)~~
关键词 H 桥级联型 SVG 模型预测控制 评估函数 反馈校正 直流侧电压平衡 cascaded H-bridge SVG model predictive control cost function feedback correction voltage balance at DC side
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共引文献513

同被引文献145

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二级引证文献132

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