The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Zang Haixiang - One of the best experts on this subject based on the ideXlab platform.
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power transmission line Parameter Identification method based on pmu phasor measurement unit data
2017Co-Authors: Wei Zhinong, Sun Guoqiang, Chen Xing-bin, Zang HaixiangAbstract:The invention discloses a power transmission line Parameter Identification method based on PMU (phasor measurement unit) data, and aims to solve the problem of power transmission line Parameter Identification based on the PMU (phasor measurement unit) data. Compared with a direct Parameter calculation method based on the PMU data, the method can weaken the influence of measured noise and provide more real line Parameter Identification results. The method includes the steps: firstly, preliminarily processing the PMU measured data in a certain time period; secondly, identifying single sampled sections one by one based on a weighted least square method to further remove non-convergent invalid sections in single section Identification; thirdly, performing multi-section Parameter Identification for remaining valid sections to finally obtain Parameter Identification results of a power transmission line. Power transmission line Parameter Identification based on the PMU data can be effectively realized, and the method has a good engineering application value.
Wei Zhinong - One of the best experts on this subject based on the ideXlab platform.
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power transmission line Parameter Identification method based on pmu phasor measurement unit data
2017Co-Authors: Wei Zhinong, Sun Guoqiang, Chen Xing-bin, Zang HaixiangAbstract:The invention discloses a power transmission line Parameter Identification method based on PMU (phasor measurement unit) data, and aims to solve the problem of power transmission line Parameter Identification based on the PMU (phasor measurement unit) data. Compared with a direct Parameter calculation method based on the PMU data, the method can weaken the influence of measured noise and provide more real line Parameter Identification results. The method includes the steps: firstly, preliminarily processing the PMU measured data in a certain time period; secondly, identifying single sampled sections one by one based on a weighted least square method to further remove non-convergent invalid sections in single section Identification; thirdly, performing multi-section Parameter Identification for remaining valid sections to finally obtain Parameter Identification results of a power transmission line. Power transmission line Parameter Identification based on the PMU data can be effectively realized, and the method has a good engineering application value.
Qiuyue Wang - One of the best experts on this subject based on the ideXlab platform.
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Application of a modified novel filtering algorithm to Parameter Identification
2016 IEEE International Conference on Mechatronics and Automation, 2016Co-Authors: Hongli Chen, Qiuyue WangAbstract:As auxiliary particle filtering techniques needs a large computation, and takes long time when applied to Parameter Identification, a novel Parameter Identification approach is proposed. The proposed approach is based on a novel optimal filtering which can be applied to system with nonlinearity. It tries to reach the real probabilistic distribution by estimating the map between priori distribution and posterior distribution and reduce the distance between estimated probabilistic distribution and true probabilistic distribution. Here augmented states together with filtering method and auxiliary variable are used to handle Parameter Identification problem; it is proved by theory that the precision of the used filtering method has an inverse relationship with double the number of supporting points in use. The proposed algorithm has the advantages of lower complexity of computation, less time consumption and similar precision compared to auxiliary particle filtering; it is verified by simulation that the proposed algorithm is effective, and outperforms auxiliary particle filtering.
H U Shijun - One of the best experts on this subject based on the ideXlab platform.
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pmu phasor measurement unit data filtering method for generator synchronous reactance Parameter Identification
2013Co-Authors: Bi Tianshu, Zhang Junli, Du Guihe, Chen Shi, Xue Ancheng, Wang Zhengfeng, Tang Wei, H U ShijunAbstract:The invention embodiment discloses a PMU (Phasor Measurement Unit) data filtering method for generator synchronous reactance Parameter Identification. The PMU data filtering method for the generator synchronous reactance Parameter Identification comprises building a mathematical model for identifying the generator synchronous reactance Parameters according to the steady-state operation characteristic of a synchronous generator; determining the needed PMU measurement data and the needed electric Parameters of the Identification according to the mathematical model and converting each electric Parameter to a per-unit value; calculating according to the sensitivity mechanism to obtain the sensitivity of the generator synchronous reactance to the each electric Parameter, obtaining the influence of a PMU measurement error of each electric Parameter on synchronous reactance Identification precision and consequently judging whether the PMU measurement data can be used or not for the generator synchronous reactance Parameter Identification to achieve the PMU measurement data filter. The PMU data filtering method for the generator synchronous reactance Parameter Identification has the advantages of obtaining the conditions that the PMU data can be used for the generator synchronous reactance Parameter Identification, achieving the PMU data filter and consequently improving the Identification precision of the generator synchronous reactance Parameters.
Chen Xing-bin - One of the best experts on this subject based on the ideXlab platform.
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power transmission line Parameter Identification method based on pmu phasor measurement unit data
2017Co-Authors: Wei Zhinong, Sun Guoqiang, Chen Xing-bin, Zang HaixiangAbstract:The invention discloses a power transmission line Parameter Identification method based on PMU (phasor measurement unit) data, and aims to solve the problem of power transmission line Parameter Identification based on the PMU (phasor measurement unit) data. Compared with a direct Parameter calculation method based on the PMU data, the method can weaken the influence of measured noise and provide more real line Parameter Identification results. The method includes the steps: firstly, preliminarily processing the PMU measured data in a certain time period; secondly, identifying single sampled sections one by one based on a weighted least square method to further remove non-convergent invalid sections in single section Identification; thirdly, performing multi-section Parameter Identification for remaining valid sections to finally obtain Parameter Identification results of a power transmission line. Power transmission line Parameter Identification based on the PMU data can be effectively realized, and the method has a good engineering application value.
