利用相量图分析方法对采用能量优化控制策略的串联型电能质量控制器(series power quality controller,SPQC)稳态特性进行了定量分析。选取负载电流相量为参考相量对SPQC进行相量图分析,使各物理量之间的关系更清晰,便于定量求解。根据...利用相量图分析方法对采用能量优化控制策略的串联型电能质量控制器(series power quality controller,SPQC)稳态特性进行了定量分析。选取负载电流相量为参考相量对SPQC进行相量图分析,使各物理量之间的关系更清晰,便于定量求解。根据电源电压幅度与负载功率因数的关系,提出采用能量优化控制策略的SPQC3种工作模式。分别在电压暂低和电压暂高情况下,对采用能量优化控制策略的SPQC稳态特性进行了详细的定量分析,据此获得了反映电压幅度暂变各种情况下有关物理量之间关系的稳态补偿特性解析式和曲线。仿真和实验验证了该文分析的可行性、有效性及能量优化控制策略不同工作模式划分的正确性。展开更多
对电压幅度暂变的最大补偿时间是串联型电能质量控制器(series power quality controllers,SPQC)重要性能指标。若没有额外直流储能元件,传统的同相位控制或能量优化控制只能提供有限的补偿时间。该文对SPQC提出一种新型控制策略,它在...对电压幅度暂变的最大补偿时间是串联型电能质量控制器(series power quality controllers,SPQC)重要性能指标。若没有额外直流储能元件,传统的同相位控制或能量优化控制只能提供有限的补偿时间。该文对SPQC提出一种新型控制策略,它在负载电压控制的同时,自动地从电源吸收部分有功功率来补偿其系统损耗,从而提高最大可补偿时间;甚至在没有额外直流储能元件时还具有持续补偿能力。采用负载电流相量为参考相量的新型相量图表示方法,使得SPQC系统内各相关变量之间的关系更加清晰简单。在电源电压幅度暂变和额定状态,分别对系统进行相应的相量图分析,得到采用这种新型控制策略的定量补偿电压幅度、可完全补偿的最大程度电压暂低以及系统的功率流动方式。根据系统能量平衡关系,提出该新型控制策略的一种简单统一实现方法。计算机仿真和原型实验验证了所得结论。展开更多
The main methods of the second phase quantitative analysis in current material science researches are manual recognition and extracting by using software such as Image Tool and Nano Measurer. The weaknesses such as hi...The main methods of the second phase quantitative analysis in current material science researches are manual recognition and extracting by using software such as Image Tool and Nano Measurer. The weaknesses such as high labor intensity and low accuracy statistic results exist in these methods. In order to overcome the shortcomings of the current methods, the Ω phase in A1-Cu-Mg-Ag alloy is taken as the research object and an algorithm based on the digital image processing and pattern recognition is proposed and implemented to do the A1 alloy TEM （transmission electron microscope） digital images process and recognize and extract the information of the second phase in the result image automatically. The top-hat transformation of the mathematical morphology, as well as several imaging processing technologies has been used in the proposed algorithm. Thereinto, top-hat transformation is used for elimination of asymmetric illumination and doing Multi-layer filtering to segment Ω phase in the TEM image. The testing results are satisfied, which indicate that the Ω phase with unclear boundary or small size can be recognized by using this method. The omission of these two kinds of Ω phase can be avoided or significantly reduced. More Ω phases would be recognized （growing rate minimum to 2% and maximum to 400% in samples）, accuracy of recognition and statistics results would be greatly improved by using this method. And the manual error can be eliminated. The procedure recognizing and making quantitative analysis of information in this method is automatically completed by the software. It can process one image, including recognition and quantitative analysis in 30 min, but the manual method such as using Image Tool or Nano Measurer need 2 h or more. The labor intensity is effectively reduced and the working efficiency is greatly improved.展开更多
文摘利用相量图分析方法对采用能量优化控制策略的串联型电能质量控制器(series power quality controller,SPQC)稳态特性进行了定量分析。选取负载电流相量为参考相量对SPQC进行相量图分析,使各物理量之间的关系更清晰,便于定量求解。根据电源电压幅度与负载功率因数的关系,提出采用能量优化控制策略的SPQC3种工作模式。分别在电压暂低和电压暂高情况下,对采用能量优化控制策略的SPQC稳态特性进行了详细的定量分析,据此获得了反映电压幅度暂变各种情况下有关物理量之间关系的稳态补偿特性解析式和曲线。仿真和实验验证了该文分析的可行性、有效性及能量优化控制策略不同工作模式划分的正确性。
文摘对电压幅度暂变的最大补偿时间是串联型电能质量控制器(series power quality controllers,SPQC)重要性能指标。若没有额外直流储能元件,传统的同相位控制或能量优化控制只能提供有限的补偿时间。该文对SPQC提出一种新型控制策略,它在负载电压控制的同时,自动地从电源吸收部分有功功率来补偿其系统损耗,从而提高最大可补偿时间;甚至在没有额外直流储能元件时还具有持续补偿能力。采用负载电流相量为参考相量的新型相量图表示方法,使得SPQC系统内各相关变量之间的关系更加清晰简单。在电源电压幅度暂变和额定状态,分别对系统进行相应的相量图分析,得到采用这种新型控制策略的定量补偿电压幅度、可完全补偿的最大程度电压暂低以及系统的功率流动方式。根据系统能量平衡关系,提出该新型控制策略的一种简单统一实现方法。计算机仿真和原型实验验证了所得结论。
基金Project(51171209)supported by the National Natural Science Foundation of China
文摘The main methods of the second phase quantitative analysis in current material science researches are manual recognition and extracting by using software such as Image Tool and Nano Measurer. The weaknesses such as high labor intensity and low accuracy statistic results exist in these methods. In order to overcome the shortcomings of the current methods, the Ω phase in A1-Cu-Mg-Ag alloy is taken as the research object and an algorithm based on the digital image processing and pattern recognition is proposed and implemented to do the A1 alloy TEM （transmission electron microscope） digital images process and recognize and extract the information of the second phase in the result image automatically. The top-hat transformation of the mathematical morphology, as well as several imaging processing technologies has been used in the proposed algorithm. Thereinto, top-hat transformation is used for elimination of asymmetric illumination and doing Multi-layer filtering to segment Ω phase in the TEM image. The testing results are satisfied, which indicate that the Ω phase with unclear boundary or small size can be recognized by using this method. The omission of these two kinds of Ω phase can be avoided or significantly reduced. More Ω phases would be recognized （growing rate minimum to 2% and maximum to 400% in samples）, accuracy of recognition and statistics results would be greatly improved by using this method. And the manual error can be eliminated. The procedure recognizing and making quantitative analysis of information in this method is automatically completed by the software. It can process one image, including recognition and quantitative analysis in 30 min, but the manual method such as using Image Tool or Nano Measurer need 2 h or more. The labor intensity is effectively reduced and the working efficiency is greatly improved.
