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An In-Depth Study of Complex Power System Dynamic Behavior Characteristics for Chinese UHV Power Grid Security
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作者 Ding Daoqi State Grid Information & Telecommunication Co.,Ltd.Zhao Fang 《Electricity》 2009年第2期45-51,共7页
In this paper,a series of major policy decisions used to improve the power grid reliability,reduce the risk and losses of major power outages,and realize the modernization of 21st century power grid are discussed. The... In this paper,a series of major policy decisions used to improve the power grid reliability,reduce the risk and losses of major power outages,and realize the modernization of 21st century power grid are discussed. These decisions were adopted by American government and would also be helpful for the strategic development of Chinese power grid. It is proposed that China should take precaution,carry out security research on the overall dynamic behaviour characteristics of the UHV grid using the complexity theory,and finally provide safeguard for the Chinese UHV grid. It is also pointed out that,due to the lack of matured approaches to controll a cascading failure,the primary duty of a system operator is to work as a "watchdog" for the grid operation security,eliminate the cumulative effect and reduce the risk and losses of major cascading outages with the help of EMS and WAMS. 展开更多
关键词 EMS 2003 WAMS An In-Depth Study of Complex Power System dynamic Behavior Characteristics for chinese UHV Power Grid Security
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Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China 被引量:11
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作者 苏文松 刘艳艳 +3 位作者 王少剑 赵亚博 苏咏娴 李世杰 《Journal of Geographical Sciences》 SCIE CSCD 2018年第4期495-513,共19页
Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon e... Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation(Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a ‘club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of factors that promote the release of carbon while at the same time acting to encourage those that mitigate this process. On the basis of the analysis presented in this study, we argue that optimizing industrial structures, streamlining extensive investment, increasing the level of technology, and improving road accessibility are all effective approaches to increase energy savings and reduce carbon emissions across China. 展开更多
关键词 carbon emissions spatial spillover effects dynamic spatial panel data model chinese carbon emission reduction policies environmental Kuznets curve
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Chinese Cultural Dynamics and Childhood:Towards a New Individuality for Education
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作者 Guoping ZHAO 《Frontiers of Education in China》 2010年第4期579-595,共17页
This paper explores,through the lens of childhood,the Chinese cultural dynamics that encourage harmonious human relationships at the price of individual development and yet support a deep appreciation of natural human... This paper explores,through the lens of childhood,the Chinese cultural dynamics that encourage harmonious human relationships at the price of individual development and yet support a deep appreciation of natural human experiences that allows room for the development of individuality.The purpose of such investigation is to reexamine our cultural heritage in regard to the ways we conceptualize human beings and treat them,retracing its promises,difficulties,pitfalls,and spiritual resources,and thus to help reconfigure a new individuality for education. 展开更多
关键词 chinese cultural dynamics CHILDHOOD INDIVIDUALITY cultural revitalization
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Nonlinear dynamic characteristic analysis of speech for Chinese
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作者 HU Shuiqing ZHANG Yu HUA Yiman DU Gonghuan (Institute of Acoustics & State Key Lab of Modern Acoustics, Naning University Nanjing 210093) 《Chinese Journal of Acoustics》 2000年第3期230-239,共10页
Nonlinear dynamic method is used in studying Chinese spoken in normal speed, and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and corre... Nonlinear dynamic method is used in studying Chinese spoken in normal speed, and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and correlation dimension curves of unvoiced fricative consonants and vowels are also given. It is found that the correlation dimension algorithm can distinguish fricative from vowel because of the different mechanism between them. And the study shows that it can provide information for distinguishing four basic tones in mandarin. 展开更多
关键词 AM Nonlinear dynamic characteristic analysis of speech for chinese
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