电力系统的瞬时性故障易产生暂态衰减直流分量DDC(decaying DC component)、高次谐波等干扰信号,有效滤除干扰信号以实现电压基波幅值相位的快速、准确检测,对于提升电能质量非常重要。为此,基于三相畸变电压信号的周期性和半波对称性,...电力系统的瞬时性故障易产生暂态衰减直流分量DDC(decaying DC component)、高次谐波等干扰信号,有效滤除干扰信号以实现电压基波幅值相位的快速、准确检测,对于提升电能质量非常重要。为此,基于三相畸变电压信号的周期性和半波对称性,提出在abc坐标系下对畸变电压分别延迟半周期、全周期采样,实现DDC分量的单位周期检测。其次,针对同时含有DDC与高次谐波的畸变信号,在dq旋转坐标系下将DDC检测算法与滑动平均滤波算法结合,实现单位周期同时滤除DDC与高次谐波分量。最后,将所提检测算法与电压相位开环算法结合,通过搭建RT-LAB半实物实时仿真平台对基波电压幅值相位进行检测验证。实验结果表明:在dq坐标系下同时滤除DDC与高次谐波干扰信号的检测算法响应时间仅为20 ms,验证了所提算法的有效性以及分析结论的正确性。展开更多
It is a common practice to simulate some historical or test systems to validate the efficiency of new methods or concepts. However, there are only a small number of existing power system test cases, and validation and...It is a common practice to simulate some historical or test systems to validate the efficiency of new methods or concepts. However, there are only a small number of existing power system test cases, and validation and evaluation results, obtained using such a limited number of test cases, may not be deemed sufficient or convincing. In order to provide more available test cases, a new random graph generation algorithm, named ‘‘dualstage constructed random graph’’ algorithm, is proposed to effectively model the power grid topology. The algorithm generates a spanning tree to guarantee the connectivity of random graphs and is capable of controlling the number of lines precisely. No matter how much the average degree is,whether sparse or not, random graphs can be quickly formed to satisfy the requirements. An approach is developed to generate random graphs with prescribed numbers of connected components, in order to simulate the power grid topology under fault conditions. Our experimental study on several realistic power grid topologies proves that the proposed algorithm can quickly generate a large number of random graphs with the topology characteristics of real-world power grid.展开更多
文摘电力系统的瞬时性故障易产生暂态衰减直流分量DDC(decaying DC component)、高次谐波等干扰信号,有效滤除干扰信号以实现电压基波幅值相位的快速、准确检测,对于提升电能质量非常重要。为此,基于三相畸变电压信号的周期性和半波对称性,提出在abc坐标系下对畸变电压分别延迟半周期、全周期采样,实现DDC分量的单位周期检测。其次,针对同时含有DDC与高次谐波的畸变信号,在dq旋转坐标系下将DDC检测算法与滑动平均滤波算法结合,实现单位周期同时滤除DDC与高次谐波分量。最后,将所提检测算法与电压相位开环算法结合,通过搭建RT-LAB半实物实时仿真平台对基波电压幅值相位进行检测验证。实验结果表明:在dq坐标系下同时滤除DDC与高次谐波干扰信号的检测算法响应时间仅为20 ms,验证了所提算法的有效性以及分析结论的正确性。
文摘It is a common practice to simulate some historical or test systems to validate the efficiency of new methods or concepts. However, there are only a small number of existing power system test cases, and validation and evaluation results, obtained using such a limited number of test cases, may not be deemed sufficient or convincing. In order to provide more available test cases, a new random graph generation algorithm, named ‘‘dualstage constructed random graph’’ algorithm, is proposed to effectively model the power grid topology. The algorithm generates a spanning tree to guarantee the connectivity of random graphs and is capable of controlling the number of lines precisely. No matter how much the average degree is,whether sparse or not, random graphs can be quickly formed to satisfy the requirements. An approach is developed to generate random graphs with prescribed numbers of connected components, in order to simulate the power grid topology under fault conditions. Our experimental study on several realistic power grid topologies proves that the proposed algorithm can quickly generate a large number of random graphs with the topology characteristics of real-world power grid.
