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5 results on '"Gao Shun’an"'

1. Determining Temperature Dependence of Dielectric Response by Temperature Normalization Method

Author

Gao, Yanfeng, Cai, Wei, Lu, Yi, Deng, Chun, Gao, Shun’an, Xue, Wenxiang, Wang, Shuyuan, Wang, Hui, Zhang, Jifei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, and Németh, Bálint, editor

Published
2020
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3. Comparison of Different Virtual Inertia Control Methods for Inverter-based Generators

Author

Gao Shun'an, Wu Linlin, Hui Liu, Peng Song, Wang Xiaosheng, and Sun Dawei

Subjects
Inertial response, TK1001-1841, Computer science, 020209 energy, media_common.quotation_subject, Control (management), TJ807-830, Energy Engineering and Power Technology, 02 engineering and technology, Inertia, Stability (probability), Renewable energy sources, Virtual inertia control, Production of electric energy or power. Powerplants. Central stations, small-signal model, 0202 electrical engineering, electronic engineering, information engineering, Voltage droop, virtual synchronous generator (VSG), media_common, Renewable Energy, Sustainability and the Environment, 020208 electrical & electronic engineering, Control engineering, stability analyses, Inverter, Transient (oscillation), Control methods, subsynchronous oscillation
Abstract

With the rapid development of inverter-based generators (IGs), power grid is faced with critical frequency stability challenges because the existing IGs have no inertia. To equip IGs with inertial response, researchers have proposed several virtual inertia control methods, which can be classified into two categories: virtual synchronous generator (VSG) control and droop control based on rate of change of frequency (ROCOF-droop control). In this paper, the comparison between both virtual inertia control methods is conducted from three perspectives: mathematical model, output characteristic and small-signal stability. State-space models are firstly built to analyze the control mechanism of VSG control and ROCOF-droop control methods. Simulation and eigenvalue analysis are conducted to study the transient responses and oscillation characteristics of both methods, which is helpful to understand the advantages and limitations of existing virtual inertia control methods. Finally, the obtained theoretical results are validated through realtime laboratory (RT-LAB) hardware-in-loop simulation platform.

Published
2020

4. Determining Temperature Dependence of Dielectric Response by Temperature Normalization Method

Author

Hui Wang, Zhang Jifei, Cai Wei, Yanfeng Gao, Chun Deng, Gao Shun'an, Yi Lu, Wang Shuyuan, and Xue Wenxiang

Subjects
Normalization (statistics), Physics, Spectral shape analysis, Amplitude, Logarithm, Multiplicative function, Mathematical analysis, Inverse, Dielectric, Dimensionless quantity
Abstract

Temperature is a significant external influence of dielectric response which almost always influence the characteristic relaxation frequency. These different effects can be most easily be revealed by the temperature normalization method of plotting the data from different temperatures. This method consists in shifting the dielectric response measured at different temperature into coincidence, by which the ‘master curve’ is determined. The physical significance of temperature normalization method is to describe the relationship between the temperature and spectral shape function of dielectric response (the spectral shape function describes the relationship between dimensionless frequency and dimensionless susceptibility, which directly relates to the micro-structure of dielectric). In order to obtain the correct master curve, the temperature normalization method should be carried out in log-log plot by shifting the real and imaginary components of dielectric response simultaneously. Logarithmic axes are used because translations along them are the same as changing the frequency and amplitude by a multiplicative factor, i.e. the frequency and amplitude become scaled. The locus of the reference point in the translation process should also be recorded in detail, because it defines the relationship between inverse characteristic (relaxation) frequency and inverse amplitude as a function of temperature, which becomes a hidden variable. In this paper, the master curves of dielectric response of HTV silicone rubber is constructed to explain and to demonstrate the relevant issues in the application of the temperature normalization method in the analysis of dielectric response.

Published
2019

5. List of Co-Authors

Author

Yuan Chen, Lu Yi, Gao Shun’an, Zhang Xu, Wang Xin, Fan Shuochao, Gao Yanfeng, Song Furu, Zhou Guohua, Xue Wenxiang, Wang Shuyuan, Zhang Jifei, and Wang Hui

Published
2019

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