DC DC convertors can convert the EV's high voltage DC power supply into the low voltage DC power supply. In order to design an excellent convertor one must be guided by theory of automatic control. The principl...DC DC convertors can convert the EV's high voltage DC power supply into the low voltage DC power supply. In order to design an excellent convertor one must be guided by theory of automatic control. The principle and the method of design, modeling and control for DC DC convertors of EV are introduced. The method of the system response to a unit step function input and the frequency response method are applied to researching the convertor's mathematics model and control characteristic. Experiments show that the designed DC DC convertor's output voltage precision is high, the antijamming ability is strong and the adjustable performance is fast and smooth.展开更多
针对现有微电网V2G双向变换器运行数据的智能监测系统抗干扰性差、监测精度低等问题,提出一种新型配电自动化监测系统架构。该系统采用集成模拟电路的实时配电系统状态估计器(distribution system state estimator,DSSE)作为监测系统的...针对现有微电网V2G双向变换器运行数据的智能监测系统抗干扰性差、监测精度低等问题,提出一种新型配电自动化监测系统架构。该系统采用集成模拟电路的实时配电系统状态估计器(distribution system state estimator,DSSE)作为监测系统的关键部件。开发的DSSE针对配微电网V2G双向变换器监测系统进行了单元优化,在变电站实时执行监控,可通过多区域状态估计算法进行协调,提高监控事件的时间效率和鲁棒性,同时也保持了可接受的精度水平。设计了针对虚假噪声信号注入防护的试验,试验结果表明,该系统对于这类攻击具有较高稳定性,能有效保护微电网V2G双向变换器运行数据的质量。展开更多
The analog-to-information convertor (AIC) is a successful practice of compressive sensing (CS) theory in the analog signal acquisition. This paper presents a multi-narrowband signals sampling and reconstruction model ...The analog-to-information convertor (AIC) is a successful practice of compressive sensing (CS) theory in the analog signal acquisition. This paper presents a multi-narrowband signals sampling and reconstruction model based on AIC and block sparsity. To overcome the practical problems, the block sparsity is divided into uniform block and non-uniform block situations, and the block restricted isometry property and sub-sampling limit in different situations are analyzed respectively in detail. Theoretical analysis proves that using the block sparsity in AIC can reduce the restricted isometric constant, increase the reconstruction probability and reduce the sub -sampling rate. Simulation results show that the proposed model can complete sub -sampling and reconstruction for multi-narrowband signals. This paper extends the application range of AIC from the finite information rate signal to the multi-narrowband signals by using the potential relevance of support sets. The proposed receiving model has low complexity and is easy to implement, which can promote the application of CS theory in the radar receiver to reduce the burden of analog-to digital convertor (ADC) and solve bandwidth limitations of ADC.展开更多
文摘DC DC convertors can convert the EV's high voltage DC power supply into the low voltage DC power supply. In order to design an excellent convertor one must be guided by theory of automatic control. The principle and the method of design, modeling and control for DC DC convertors of EV are introduced. The method of the system response to a unit step function input and the frequency response method are applied to researching the convertor's mathematics model and control characteristic. Experiments show that the designed DC DC convertor's output voltage precision is high, the antijamming ability is strong and the adjustable performance is fast and smooth.
文摘针对现有微电网V2G双向变换器运行数据的智能监测系统抗干扰性差、监测精度低等问题,提出一种新型配电自动化监测系统架构。该系统采用集成模拟电路的实时配电系统状态估计器(distribution system state estimator,DSSE)作为监测系统的关键部件。开发的DSSE针对配微电网V2G双向变换器监测系统进行了单元优化,在变电站实时执行监控,可通过多区域状态估计算法进行协调,提高监控事件的时间效率和鲁棒性,同时也保持了可接受的精度水平。设计了针对虚假噪声信号注入防护的试验,试验结果表明,该系统对于这类攻击具有较高稳定性,能有效保护微电网V2G双向变换器运行数据的质量。
基金supported by the National Natural Science Foundation of China(61172159)
文摘The analog-to-information convertor (AIC) is a successful practice of compressive sensing (CS) theory in the analog signal acquisition. This paper presents a multi-narrowband signals sampling and reconstruction model based on AIC and block sparsity. To overcome the practical problems, the block sparsity is divided into uniform block and non-uniform block situations, and the block restricted isometry property and sub-sampling limit in different situations are analyzed respectively in detail. Theoretical analysis proves that using the block sparsity in AIC can reduce the restricted isometric constant, increase the reconstruction probability and reduce the sub -sampling rate. Simulation results show that the proposed model can complete sub -sampling and reconstruction for multi-narrowband signals. This paper extends the application range of AIC from the finite information rate signal to the multi-narrowband signals by using the potential relevance of support sets. The proposed receiving model has low complexity and is easy to implement, which can promote the application of CS theory in the radar receiver to reduce the burden of analog-to digital convertor (ADC) and solve bandwidth limitations of ADC.
