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作 者:胡存刚 尹政[2] 张悦 罗魁 芮涛 冯壮壮 HU Cungang;YIN Zheng;ZHANG Yue;LUO Kui;RUI Tao;FENG Zhuangzhuang(State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,China Electric Power Research Institute,Beijing 100192,China;School of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;School of Internet,Anhui University,Hefei 230601,China)
机构地区:[1]中国电力科学研究院有限公司新能源与储能运行控制国家重点实验室,北京100192 [2]安徽大学电气工程与自动化学院,安徽合肥230601 [3]安徽大学互联网学院,安徽合肥230601
出 处:《电机与控制学报》2024年第6期163-170,共8页Electric Machines and Control
基 金:新能源与储能运行控制国家重点实验室开放基金(NYB51202201697)。
摘 要:针对PWM整流器模型预测控制对系数参数准确性高度依赖的问题,提出一种基于离散空间矢量的无模型预测电流控制(MFPCC)策略。该策略通过矢量合成,在每个控制周期应用两个基本矢量,提高了预测电流的准确性;通过峰谷采样,分别测量并存储上一控制周期两个基本矢量作用下的电流梯度;并建立电流梯度方程,从而根据应用矢量的电流梯度进一步更新剩余6个未应用矢量的电流梯度,结合当前时刻的电流采样值,实现未来时刻的电流预测,得到下一时刻最优的虚拟矢量。该方法不依赖于任何系统参数,且消除了传统MFPCC策略中电流梯度更新停滞现象,降低了输出电流谐波。最后,通过实验和仿真验证了所提方法的有效性和优越性。Aiming at the problem that the model predictive control of PWM rectifier is highly dependent on the accuracy of system parameters,a model-free predictive current control(MFPCC)strategy based on discrete space vector was proposed.Through vector synthesis,two basic vectors were applied in each control period to improve the accuracy of current prediction;Based on peak and valley sampling,the current gradient of the two applied basic vectors in the previous control period was measured and stored respectively;And by establishing the current gradient equations,so as to further update the current gradient of the remaining 6 non-applied vectors according to the current gradient of the applied vector.The proposed method has strong robustness,and eliminates the stagnation effect in conventional MFPCC,and reduce current harmonics.Finally,effectiveness and advantages of the proposed method are verified by experiment and simulation.
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