双电源输入级联型电力电子变压器(dual power supply cascaded-type power electronic transformer,DPSC-PET)与两路供电电源相连,运行可靠性高、方式灵活,在中低压配电网中应用前景广泛,深入研究其电压暂降耐受能力与调节方法,对于维...双电源输入级联型电力电子变压器(dual power supply cascaded-type power electronic transformer,DPSC-PET)与两路供电电源相连,运行可靠性高、方式灵活,在中低压配电网中应用前景广泛,深入研究其电压暂降耐受能力与调节方法,对于维持暂降期间DPSC-PET的高效能量传输、保证系统优质供电具有重要意义。首先,分析DPSC-PET的拓扑与控制策略;其次,针对引起系统传输功率缺额最严重的三相对称电压暂降,分析DPSC-PET暂降耐受能力限制因素;然后,从功率平衡角度出发,提出一种不同输入侧发生暂降时DPSC-PET耐受能力实时分析与双输入端口功率协同调节方法,以实现暂降下低压直流母线电压恢复,提升DPSC-PET应对暂态扰动的能力;最后,搭建DPSC-PET仿真模型,对不同输入侧发生不同程度的电压暂降场景进行仿真。结果表明,所提调节方法能有效提升DPSC-PET的暂降耐受能力。展开更多
To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target...To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target location. Since trajectory optimization struggles to meet real-time requirements, the emergence of data-based generation methods has become a significant focus in contemporary research. However, due to the large differences in the characteristics of the optimal control laws caused by the diversity of tasks, it is difficult to achieve good prediction results by modeling all data with one single model.Therefore, the modeling idea of the mixture of experts(MoE) is adopted. Firstly, the K-means clustering algorithm is used to partition the sample data set, and the corresponding neural network classification model is established as the gate switch of MoE. Then, the expert models, i.e., the mappings from the generation conditions to the optimal control law represented by the results of principal component analysis(PCA), are represented by Kriging models. Finally, multiple rounds of accuracy evaluation, sample supplementation, and model updating are conducted to improve the generation accuracy. The Monte Carlo simulation shows that the accuracy of the proposed model reaches 96% and the generation efficiency meets the real-time requirement.展开更多
文摘双电源输入级联型电力电子变压器(dual power supply cascaded-type power electronic transformer,DPSC-PET)与两路供电电源相连,运行可靠性高、方式灵活,在中低压配电网中应用前景广泛,深入研究其电压暂降耐受能力与调节方法,对于维持暂降期间DPSC-PET的高效能量传输、保证系统优质供电具有重要意义。首先,分析DPSC-PET的拓扑与控制策略;其次,针对引起系统传输功率缺额最严重的三相对称电压暂降,分析DPSC-PET暂降耐受能力限制因素;然后,从功率平衡角度出发,提出一种不同输入侧发生暂降时DPSC-PET耐受能力实时分析与双输入端口功率协同调节方法,以实现暂降下低压直流母线电压恢复,提升DPSC-PET应对暂态扰动的能力;最后,搭建DPSC-PET仿真模型,对不同输入侧发生不同程度的电压暂降场景进行仿真。结果表明,所提调节方法能有效提升DPSC-PET的暂降耐受能力。
基金Defense Industrial Technology Development Program (JCKY2020204B016)National Natural Science Foundation of China (92471206)。
文摘To better complete various missions, it is necessary to plan an optimal trajectory or provide the optimal control law for the multirole missile according to the actual situation, including launch conditions and target location. Since trajectory optimization struggles to meet real-time requirements, the emergence of data-based generation methods has become a significant focus in contemporary research. However, due to the large differences in the characteristics of the optimal control laws caused by the diversity of tasks, it is difficult to achieve good prediction results by modeling all data with one single model.Therefore, the modeling idea of the mixture of experts(MoE) is adopted. Firstly, the K-means clustering algorithm is used to partition the sample data set, and the corresponding neural network classification model is established as the gate switch of MoE. Then, the expert models, i.e., the mappings from the generation conditions to the optimal control law represented by the results of principal component analysis(PCA), are represented by Kriging models. Finally, multiple rounds of accuracy evaluation, sample supplementation, and model updating are conducted to improve the generation accuracy. The Monte Carlo simulation shows that the accuracy of the proposed model reaches 96% and the generation efficiency meets the real-time requirement.
