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| 1 | 利用时空相关性的多位置多步风速预测模型显示文摘兼顾时、空相关性的风速预测意义重大也极具挑战。围绕多位置、多步风速预测问题展开研究,从风速时空序列的本质出发,提出了一种'先提取空间特征,后捕捉时间依赖'的两阶段建模思路。构造了一个利用时空相关性的风速预测模型——深层时空网络(deep spatio-temporal network,DSTN)。该模型由卷积神经网络(convolutional neural network, CNN)和双向门控循环单元(bidirectional gated recurrent unit,BGRU)共同构成,并通过'端对端'的方式进行训练,具备'序列到序列'的预测能力。首先,DSTN利用底层的CNN从空间风速矩阵中提取空间特征。然后,利用BGRU捕捉来自连续时间断面的空间特征之间的时间依赖关系,进而实现对时空序列的预测。此外,还定义了针对多位置风速预测的误差指标,用以描述预测模型的总体平均性能和个体误差控制能力。以美国加利福尼亚州某风电场实测数据为算例进行分析,结果表明,DSTN能够有效利用时空相关性进行风速预测,其预测性能优于多种现有预测模型。 | 陈金富 朱乔木 石东源 李银红 ZHU Lin 段献忠 LIU Yilu | 2019 | 中国电机工程学报2019，39，7： | 28 |
| 2 | 大规模电力系统频率动态分析显示文摘给出美国东部电网和中国川渝电网的频率动态测量结果,并分析频率动态的时空分布特性。阐述频率动态研究的一些重要方法和结论,指出现有方法分析大规模电网频率动态的不足。从理论上探讨大规模电网频率动态分析的机电波方法,推导出频率波方程和频率波色散关系,从而提出了一种从频率波传播分析频率动态时空特性的新方法。 | 王晓茹 LIU Yilu | 2010 | 南方电网技术2010，4，1： | 17 |
| 3 | 基于大数据技术的北美FNET/GridEye系统设计与实现显示文摘随着智能电网信息化技术的快速发展,已稳定运行多年的FNET/GridEye软件系统已经无法适应未来的发展。针对这种情况并结合最新的电力实时大数据(以同步向量数据为主)开源项目OpenPDC/OpenHistorian设计了基于分布式架构的新一代系统。系统由前端集群、后端集群和系统调用组件三部分组成,具有系统扩展性强和可靠性高的特点。前端集群中的每台OpenPDC服务器负责接入一定数量的同步向量采集设备,并在其中运行不同的电网事件触发器插件。当触发器探测到电网事件后会以组播方式通知位于后端集群中的系统调度组件,此组件负责从OpenHistorian中加载窗口数据后,运行对应的分析应用程序。针对已投运系统的数据吞吐量测试、两年多的稳定运行和不断添加前端设备和后端应用证明了新系统设计的先进性。 | 桂勋 LIU Yilu 郑永康 刘明忠 | 2017 | 电力系统自动化2017，41，10： | 10 |
| 4 | Measurement-based Frequency Dynamic Response Estimation Using Geometric Template Matching and Recurrent Artificial Neural Network显示文摘Understanding power system dynamics after an event occurs is essential for the purpose of online stability assessment and control applications.Wide area measurement systems(WAMS)based on synchrophasors make power system dynamics visible to system operators,delivering an accurate picture of overall operating conditions.However,in actual field implementations,some measurements can be inaccessible for various reasons,e.g.,most notably communication failure.To reconstruct these inaccessible measurements,in this paper,the radial basis function artificial neural network(RBF-ANN)is used to estimate the system dynamics.In order to find the best input features of the RBF-ANN model,geometric template matching(GeTeM)and quality-threshold(QT)clustering are employed from the time series analysis to compute the similarity of frequency dynamic responses in different locations of the power system.The proposed method is tested and verified on the Eastern Interconnection(EI)transmission system in the United States.The results obtained indicate that the proposed approach provides a compact and efficient RBF-ANN model that accurately estimates the inaccessible frequency dynamic responses under different operating conditions and with fewer inputs. | Feifei Bai Xiaoru Wang Yilu Liu Xinyu Liu Yue Xiang Yong Liu | 2016 | CSEE Journal of Power and Energy Systems2016，2，3： | 8 |
| 5 | 基于电网频率的数字录音真伪鉴别研究显示文摘采用电网频率鉴别数字录音真伪是司法科学领域近年来的研究热点。在北美电网频率监测系统(FNET)的基础上,构建用于数字录音信号真伪鉴别的专用标准电网频率数据库,提出一种完整的真伪鉴别算法。采用数字滤波技术和短时傅里叶变换估计蕴含在数字信号中的电网频率分量,通过补零操作及三点样条插值提高频率估计的准确度;首次考虑数字采集系统振荡器对频率数据库匹配的影响,提出一种迭代式振荡器误差校正方法;分析短时傅里叶变换的参数选择,如窗函数、补零系数对频率估计准确度的影响,最后实现了该套数字录音真伪鉴别算法。在实测数字语音信号上的实验结果表明,该方法能有效地鉴别数字信号的真伪并确定其原创时间。 | 刘育明 姚陈果 孙才新 袁智勇 Liu Yilu | 2013 | 仪器仪表学报2013，34，6： | 4 |
| 6 | SF_(6)decomposition and insulation condition monitoring of GIE:A review显示文摘The statistics of the Conference International des Grands Reseaux Electriques(CIGRE)indicate that the operational reliability of SF6 gas‐insulated equipment(GIE)is very high;however,the failure rate of the GIE in operation is much higher than that of the IEC standard,and the fault occurs frequently in the GIE at a high voltage level.The reason is due to the complex and strong on‐site electromagnetic interference environment and fully enclosed structure of GIE.The key method and technology for effective on‐line monitoring and fault diagnosis of GIE are still lacking.Given the partial strong electromagnetic energy and high temperature induced by early latent insulation faults in the equipment,SF6 gas insulation presents different degrees of decomposition.The decomposition products mainly include SO_(2)F_(2),SOF_(2),SO_(2),HF,and H2S.The decomposition characteristics of SF6 are closely related to the property of insulation faults.At present,this area is attracting attention from the power industry and research institutes.This study summarises the current research on SF_(6)decomposition component analysis(DCA).The content mainly includes the latest progress of SF_(6)decomposition characteristics and mechanism under fault conditions,and fault diagnosis methods based on decomposition components. | Fuping Zeng Haotian Li Hongtu Cheng Ju Tang Yilu Liu | 2021 | High Voltage2021，6，6： | 3 |
| 7 | Machine learning-based fast frequency response control for a VSC-HVDC system显示文摘HVDC system can realize a very fast frequency response to the disturbed system under a contingency because its active power control is decoupled from the frequency deviation.However,most of existing HVDC frequency control strategies are coupled with system primary frequency control and secondary frequency control.Since the traditional system frequency control is dominated by the thermal generators,the advantage of the fast response of the HVDC system is not made fully used.The development of a frequency response estimation based on a machine learning algorithm provides another approach to improve the frequency response capability of the HVDC system.Different from other frequency deviation tracking strategies,a machine learning based HVDC frequency response control can directly increase the power flow of a HVDC system by estimation of the system generator or load lost.In this paper,a fast frequency response control using a HVDC system for a large power system disturbance based on the multivariate random forest regression(MRFR)algorithm is proposed.The simulation is carried out with an integrated power system model based on the North American interconnections.The simulation results indicate that the proposed MRFR based frequency response control can significantly improve the frequency low point during an event,while stabilizing the frequency in advance. | Kaiqi Sun Huangqing Xiao Shengyuan Liu Yilu Liu | 2021 | CSEE Journal of Power and Energy Systems2021，7，4： | 3 |
| 8 | A Hybrid Dynamic Demand Control Strategy for Power System Frequency Regulation显示文摘The rapid increase in renewable energy integration brings with it a series of uncertainty to the transmission and distribution systems.In general,large-scale wind and solar power integration always cause short-term mismatch between generation and load demand because of their intermittent nature.The traditional way of dealing with this problem is to increase the spinning reserve,which is quite costly.In recent years,it has been proposed that part of the load can be controlled dynamically for frequency regulation with little impact on customers’living comfort.This paper proposes a hybrid dynamic demand control(DDC)strategy for the primary and secondary frequency regulation.In particular,the loads can not only arrest the sudden frequency drop,but also bring the frequency closer to the nominal value.With the proposed control strategy,the demand side can provide a fast and smooth frequency regulation service,thereby replacing some generation reserve to achieve a lower expense. | Qingxin Shi Hantao Cui Fangxing Li Yilu Liu Wenyun Ju Yonghui Sun | 2017 | CSEE Journal of Power and Energy Systems2017，3，2： | 3 |
| 9 | Plant buffering against the high-light stress- induced accumulation of CsGA2ox8 transcripts via alter native splici ng to fi n ely tune gibberelli n levels and maintain hypocotyl elongation显示文摘In plants,alternative splicing(AS)is markedly induced in response to environmental stresses,but it is unclear why plants generate multiple transcripts under stress conditions.In this study,RNA-seq was performed to identify AS events in cucumber seedlings grown under different light intensities.We identi fi ed a novel transcript of the gibberellin(GA)-deactivating enzyme Gibberellin 2-beta-dioxygenase 8(CsGA2ox8).Compared with canonical CsGA2ox8.1,the CsGA2ox8.2 isoform presented intron retention between the second and third exons.Functional analysis proved that the transcript of CsGA2ox8.1 but not CsGA2ox8.2 played a role in the deactivation of bioactive GAs.Moreover,expression analysis demonstrated that both transcripts were upregulated by increased light intensity,but the expression level of CsGA2ox8.1 increased slowly when the light intensity was>400μmol-m-2-s-1 PPFD(photosynthetic photon fl ux density),while the CsGA2ox8.2 transcript levels increased rapidly when the light intensity was>200 pmol-m-2-s-1 PPFD.Our fi ndings provide evidence that plants might fi nely tune their GA levels by buffering against the normal transcripts of CsGA2ox8 through AS. | Bin Liu Shuo Zhao Pengli Li Yilu Yin Qingliang Niu Jinqiang Yan Danfeng Huang | 2021 | Horticulture Research2021，8，1： | 2 |
| 10 | 采用稳健统计与B样条函数处理频率扰动记录单元异常数据显示文摘北美电网监测系统(FNET)是在配网侧实时采集电网频率的广域测量系统。由于硬件故障或网络中断,频率扰动记录单元(FDRs)采集的数据不可避免地包含尖峰或缺失数据段等异常数据,在剔除尖峰同时常用的一维中值滤波,弱化频率波动的细节信息无法弥补缺失数据段。针对此一问题,提出了融合稳健统计和B样条函数的频率异常数据处理方法,它通过设定阈值辨识尖峰值,采用B样条基函数的线性组合重构原始频率序列,引入曲线粗糙度控制B样条基函数学习过程中存在的过拟合问题。该方法仅在局部范围内处理频率异常数据,能最大限度地保留频率波动信息,且计算简洁,能实现任意阶B样条函数的构造及学习,易于推广到其他时间序列的数据预处理。 | 刘育明 姚陈果 孙才新 Yilu LIU | 2012 | 高电压技术2012，38，6： | 2 |
| 11 | Study on the migration of nerve stem cell in vitro Induced by glioma cells显示文摘Objective: Previous studies have shown that glioma cells induced the migration of nerve stem cells (NSCs) in vivo. This study was exploring whether this situation could happen in vitro. Methods: Supernatant from C6 glioma cell lines or astrocytes cultured in serum-free medium growing in logarithmic phase were separately placed in lower chambers and NSCs were placed in the upper chambers of Trans-well culture system. After 36 h co-incubation, these NSCs spheres occurred on the middle membrane were counted. Results: Results demonstrated that the supernatant from C6 glioma cell culture, not from the astrocytes, enhanced the migration of NSCs (P<0.01). Conclusion: Some components in C6 glioma cell culture can attract the migration of NSCs. | Yilu Gao Shuzi Gao Yi Fen Sheyu Lin Mei Liu | 2005 | Journal of Nanjing Medical University2005，19，6： | 2 |
| 12 | Recent Developments of FNET/GridEye—A Situational Awareness Tool for Smart Grid显示文摘Wide-area monitoring systems(WAMS)are becoming increasingly vital for enhancing power grid operators’situational awareness capabilities.As a pilot WAMS that was initially deployed in 2003,the frequency monitoring network FNET/GridEye uses GPS-time-synchronized monitors called frequency disturbance recorders(FDRs)to capture dynamic grid behaviors.Over the past ten years,a large number of publications related to FNET/GridEye have been reported.In this paper,the most recent developments of FNET/GridEye sensors,data centers,and data analytics applications are reviewed.These works demonstrate that FNET/GridEye will become a costeffective situational awareness tool for the future smart grid. | Yong Liu Wenxuan Yao Dao Zhou Ling Wu Shutang You Hesen Liu Lingwei Zhan Jiecheng Zhao Haoyang Lu Wei Gao Yilu Liu | 2016 | CSEE Journal of Power and Energy Systems2016，2，3： | 2 |
| 13 | Harmonics Generated From A DC Biased Transformer 显示文摘 | Shu Lu Yilu Liu Jaime De La Ree | 1993 | IEEE Transactions on Power Delivery1993，8，2： | 1 |
| 14 | Empirical analysis of the clustering coefficient in the user-object bipartite networks 显示文摘 | Liu Jianguo Hou Lei Zhang Yilu | 2013 | Inter- national Journal of Modern Physics C2013，24，8： | 1 |
| 15 | “智慧能源系统信息支撑技术”专题特约主编寄语显示文摘当前,世界各国电力能源系统发展的两大驱动力主要来自新能源的高效开发利用和用户侧互动参与。信息理论和信息通信技术,作为一种革命性变革驱动技术,在推动电力能源系统演化革新方面发挥了重要作用,以新能源和信息技术深度融合为特征的能源革命正推动传统能源系统向智慧能源系统发展。 | 黄琦 宋永华 Francisco de Leon Yilu Liu | 2021 | 中国电机工程学报2021，41，3： | 1 |
| 16 | Impact of Simultaneous Activities on Frequency Fluctuations:Comprehensive Analyses Based on Real Measurement Data from the FNET/GridEye显示文摘Simultaneous human activities,such as the Super Bowl game,would cause certain impacts on frequency fluctuations in power systems.With the help of FNET/GridEye measurements,this paper aims to give comprehensive analyses on the frequency fluctuations during Super Bowl LIV held on Feb.2,2020,so as to better understand several phenomena caused by simultaneous activities which will help system operations and controls.First,recent developments of the FNET/GridEye are briefly introduced.Second,the frequency fluctuations of the Eastern Interconnection(El),western electricity coordinating council(WECC),and electric reliability council of Texas(ERCOT)power systems during Super Bowl LIV are analyzed.Third,frequency fluctuations of Super Bowl Sunday and ordinary Sundays in 2020 are compared.Finally,the differences of frequency fluctuations among different years during the Super Bowl and their change trends are also given.Furthermore,several possible explanations,including the simultaneity of electricity consumption at the beginning of commercial breaks and the halftime show,the increasing usage of the Internet,and the increasing size of TV screens,are illustrated in detail in this paper. | Shengyuan Liu Shutang You Chujie Zeng Yinfeng Zhao Wenxuan Yao Yilu Liu Zhenzhi Lin | 2021 | CSEE Journal of Power and Energy Systems2021，7，2： | 1 |
| 17 | A method for determining customer and utility harmonic contribution at the point of common coupling 显示文摘 | Wilsun Xu Yilu Liu | 2000 | IEEE Transactions on Power Delivery2000，15，2： | 1 |
| 18 | A method for determining customer and utility harmonic contribution at the point of common coupling显示文摘 | Wilsun Xu Yilu Liu | 2000 | IEEE Transactions on Power Delivery2000，15，2： | 1 |
| 19 | Transient modeling and simulation of a SMES coil and the power electronics interface 显示文摘 | Arsoy A B Wang Zhenyuan Liu Yilu | 1999 | IEEE Transactions on Applied Superconductivity1999，9，4： | 1 |
| 20 | Transient modeling and simulation of a SMES coil and the power e-lectronics interface显示文摘 | Wang Zhenyuan Liu Yilu | 1999 | IEEE Transactions on Applied Superconductivity1999，9，4： | 1 |
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