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CSEE Journal of Power and Energy Systems 2023年第2期9卷 759-768页

作者： Jun Zhang jiye wang Rui Song Guozheng Peng Tianjiao Pu Shuhua Zhang College of Electrical and Information Engineering Hunan UniversityChangsha 410082China China Electric Power Research Institute Beijing 100192China

In recent years,several efforts have been made to develop power transmission line abnormal target detection models based on edge devices.Typically,updates to these models rely on participation of the cloud,which means that network resource shortages can lead to update failures,followed by unsatisfactory recognition and detection performance in practical use.To address this problem,this article proposes an edge visual incremental perception framework,based on deep semisupervised learning,for monitoring power transmission lines.After generation of the initial model using a small amount of labeled data,models trained using this framework can update themselves based on unlabeled data.A teacher-student joint training strategy,a data augmentation strategy,and a model updating strategy are also designed and adopted to improve the performance of the models trained with this framework.The proposed framework is then examined with various transmission line datasets with 1%,2%,5%,and 10%labeled data.General performance enhancement is thus confirmed against traditional supervised learning strategies.With the 10%labeled data training set,the recognition accuracy of the model is improved to exceed 80%,meeting the practical needs of power system operation,and thus clearly validating the effectiveness of the framework.

关键词： Edge intelligence semi-supervised learning transmission lines monitoring visual incremental perception

Preparation,luminescence and photofunctional performances of a hybrid layered gadolinium-europium hydroxide

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Journal of Rare Earths 2022年第9期40卷 1437-1444,I0004页

作者： Lu Liu Jingjie Yu Shikao Shi jiye wang Huihua Song Ruikang Zhang Lianshe Fu Hebei Key Laboratory of Inorganic Nanomaterials College of Chemistry and Materials ScienceHebei Normal UniversityShijiazhuang 050024China Department of Physics CICECO–Aveiro Institute of MaterialsUniversity of Aveiro3810-193AveiroPortugal

The design and fabrication of rare earth ions incorporated into the inorganic/organic hybrid materials have attracted growing attention for seeking improved optical properties and photofunctional performances.In this paper,a novel hybrid composite based on the layered rare earth hydroxides was successfully prepared by the ion-exchange and intercalation chemical process.The rare earth elements in the composite contain gadolinium(Gd)and europium(Eu)and the molar ratio of Gd to Eu is kept constant at 1.9:0.1.Organic sodium dodecyl sulfonate and dye coumarin-3-carboxyllc acid are simultaneously incorporated into the layered rare earth hydroxides as supporting agent and light-harvesting antenna,respectively.The resulting hybrid layered rare earth hydroxides exhibit the enlarged interlayer distance with about 2.60 nm,and the chemical composition was confirmed through X-ray diffraction,carbon,hydrogen and nitrogen(CHN)elemental analysis,infrared spectroscopy,and thermogravimetric analysis.The layered solid compound shows the characteristic red emission corresponding to the^(5)D_(0)→^(7)F_(2)transition of Eu^(3+)ion,and the luminescence intensity of the optimized compound is greatly enhanced as compared to its corresponding nitrate and the hybrid composite without the introduction of dye molecule.The hybrid layered rare earth hydroxides can be exfoliated into bright colloidal solution,which show superior recognition capability to Cu^(2+)ion with the distinct luminescence quenching.The large quenching constant(1.4×10^(4)L/mol)and low detection limit(0.35μmol/L)are achieved for Cu^(2+)ion,implying a"turn-off"fluorescent sensor for Cu^(2+)detection.Moreover,a transparent film was prepared based on the colloidal solution and displays the typical red emission in folded shape.The new hybrid compound with enhanced luminescence and excellent photofunctional performances is expected to be applied in the fields of fluorescent sensing and flexible optical devices.

关键词： Layered rare earth hydroxides Luminescence Eu^(3+)ion Gd^(3+)ion Ion-exchange Intercalation chemistry

Quantum chemical descriptors based QSAR modeling of neodymium carboxylate catalysts for coordination polymerization of isoprene

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Chinese Journal of Chemical Engineering 2020年第7期28卷 1805-1808页

作者： Shuguang Xiang jiye wang Institute of Process Systems Engineering Qingdao University of Science&TechnologyQingdao 266042China

Based on the quantum chemical descriptors and the activities for isoprene polymerization of 12 neodymium carboxylates obtained by authors’earlier work,statistical analysis of data was made and a QSAR model correlating the quantum chemical descriptors and the activity was built with the partial least square(PLS)approach.The model is:A=51602εHOMO+6σ+12546,which indicates that the catalytic activity A is positively correlated with the HOMO energyεHOMOand the ligand polarizabilityσ,with the contribution ofσbeing larger,εHOMO smaller.The model’s coefficient of determination r^2=0.96 and that of cross validation q^2=0.94,both being close to 1,which means that its quality is well and its predictive power is strong.Analysis of the modeling process and the resulted QSAR model,together with the interpretation of the model’s mechanism,also shows that the model obtained from this study is valid and reliable.According to the QSAR model,the mechanism of catalyst activity can be interpreted as that neodymium carboxylates with higher HOMO energy and larger ligand polarizability are easier to react with the co-catalysts so as to produce more active and stable centers of catalyst,resulting in a higher activity.

关键词： Neodymium carboxylate QSAR modeling Isoprene coordination polymerization Catalyst

电网碳排放因子研究方向与应用需求的演变进程

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电网技术 2024年第1期48卷 12-28页

作者：刘广一王继业汤亚宸王栋上海远景科创智能科技有限公司上海市浦东新区201203 国网数字科技控股有限公司北京市东城区100077

电网碳排放因子是温室气体核算体系中非常重要的一部分,对于减缓气候变化和实现碳中和具有至关重要的作用。当前,针对电网碳排放因子核算的研究已经向着更为准确、区域更为细化、且更具有时效性的方向发展。该文总结了温室气体核算体系... 详细信息

电网碳排放因子是温室气体核算体系中非常重要的一部分,对于减缓气候变化和实现碳中和具有至关重要的作用。当前,针对电网碳排放因子核算的研究已经向着更为准确、区域更为细化、且更具有时效性的方向发展。该文总结了温室气体核算体系关于电网碳排放因子的需求演变以及国内外企业常用的标准和选择方法,介绍了欧美政府现阶段采取的电网碳排放因子计算方法及需求演变,探讨了关于电网碳排放因子的研究进展和应用情况。针对美国和欧洲地区,分别介绍了斯坦福大学、加州大学戴维斯分校、美国国家可再生能源实验室等知名研究机构的典型科研进展。此外,还探讨了欧美公司在电网碳排放因子计算方法及应用场景方面的创新,包括宾夕法尼亚-新泽西-马里兰电力市场公司(Pennsylvania-New Jersey-Maryland Interconnection,PJM)、新英格兰独立系统运营商(Independent System Operator-New England,ISO-NE)、Watt Time等公司已经推出的电网碳排放相关应用与产品。最后,该文指出了我国开展分时分区电网碳排放因子研究与应用的必要性,并提出了相应建议,为我国电网碳排放因子的进一步研究和标准制定提供参考。

关键词：范围二温室气体电网碳排放因子属地碳强度市场碳强度边际碳强度

Template-based AADL automatic code generation

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Frontiers of Computer Science 2019年第4期13卷 698-714页

作者： Kai HU Zhangbo DUAN jiye wang Lingchao GAO Lihong SHANG State Key Laboratory of Software Development Environment Beihang University Beijing 100083 China State Grid Corporation of China Beijing 100031 China Beijing China-Power Information Technology Co. Ltd State Grid Information & Telecommunication Group Beijing 100192 China

Embedded real-time systems employ a variety of operating system platforms. Consequently, for automatic code generation, considerable redevelopment is needed when the platform changes. This results in major challenges with respect to the automatic code generation process of the architecture analysis and design language (AADL). In this paper, we propose a method of template-based automatic code generation to address this issue. Templates are used as carriers of automatic code generation rules from AADL to the object platform. These templates can be easily modified for different platforms. Automatic code generation for different platforms can be accomplished by formulating the corresponding generation rules and transformation templates. We design a set of code generation templates from AADL to the object platform and develop an automatic code generation tool. Finally, we take a typical data processing unit (DPU) system as a case study to test the tool. It is demonstrated that the autogenerated codes can be compiled and executed successfully on the object platform.

关键词： real-time system template formal methods AADL automatic code generation

Ln3+(Ln=Eu,Dy)-doped Sr2CeO4 fine phosphor particles:Wet chemical preparation,energy transfer and tunable luminescence

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Journal of Rare Earths 2020年第12期38卷 1273-1280页

作者： Na Gao Yanfei Yang Shikao Shi jiye wang Shuping wang Jibiao Li Lianshe Fu Key Laboratory of Inorganic Nanomaterials of Hebei Province College of Chemistry and Materials ScienceHebei Normal UniversityShijiazhuang 050024China Physics Department and CICECO-Aveiro Institute of Materials University of Aveiro3810-193AveiroPortugal

The Sr2 CeO4:Ln3+(Ln=Eu,Dy)fine phosphor particles were prepared by a facile wet chemical approach,in which the consecutive hydrothermal-combustion reaction was performed.The doping of Ln3+into Sr2 CeO4 has little influence on the structure of host,and the as-prepared samples display wellcrystallized spherical or elliptical shape with an average particle size at about 100-200 nm.For Eu3+ions-doped Sr2 CeO4,with the increase of Eu3+-doping concentration,the blue light emission band with the maximum at 468 nm originating from a Ce4+→O2-charge transfer of the host decreases obviously and the characteristic red light emission of Eu3+(5 D0→7 F2 transition at 618 nm)is enhanced gradually.Simultaneously,the fluorescent lifetime of the broadband emission of Sr2 CeO4 decreases with the doping of Eu3+,indicating an efficient energy transfer from the host to the doping Eu3+ions.The ene rgy transfer efficiency from the host to Eu3+was investigated in detail,and the emitting color of Sr2 CeO4:Eu3+can be easily tuned from blue to red by varying the doping concentration of Eu3+ions.Moreover,the luminescence of Dy3+-doped Sr2 CeO4 was also studied.Similar energy transfer pheno menon can be observed,and the incorporation of Dy3+into Sr2 CeO4 host leads to the characteristic emission of 4 F9/2→6 H15/2(488 nm,blue light)and 4 F9/2→6 H13/2(574 nm,yellow light)of Dy3+.The Sr2 CeO4:Ln3+fine particles with tunable luminescence are quite beneficial for its potential applications in the optoelectronic fields.

关键词： Wet chemistry preparation Sr2CeO4 Ln3+ion Phosphor Luminescence Energy transfer

基于双层优化VMD-LSTM的农村超短期电力负荷预测

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沈阳农业大学学报 2024年第1期55卷 92-102页

作者：王俊王继烨程坤方均鞠丹阳沈阳农业大学信息与电气工程学院沈阳110161 国网内蒙古东部电力有限公司呼伦贝尔供电公司内蒙古呼伦贝尔162650

稳定的供电是农村发展建设的有力保障,而电力负荷水平是建设效果的重要衡量标准,因此建立精确的负荷预测模型可以更准确直观显现电力负荷情况,为供电公司制定决策提供有力支撑。由于LSTM负荷预测模型在数据预测方面存在收敛性差、预测... 详细信息

稳定的供电是农村发展建设的有力保障,而电力负荷水平是建设效果的重要衡量标准,因此建立精确的负荷预测模型可以更准确直观显现电力负荷情况,为供电公司制定决策提供有力支撑。由于LSTM负荷预测模型在数据预测方面存在收敛性差、预测精度不高等问题,为提高模型的预测精度,提出一种基于双层优化VMD-LSTM的超短期电力负荷预测方法。首先提出麻雀算法优化变分模态分解(sparrow variational mode decomposition,SVMD),通过SVMD将原始数据转化为模态分量(intrinsic mode functions,IMF);其次采用改进樽海鞘群算法(association salp swarm algorithm,ASSSA)优化LSTM模型。通过引入4种策略增强标准樽海鞘算法优化能力;最后将各模态分量分别代入到新模型并进行叠加预测。选取辽宁省某市某乡村10kV变压器真实历史负荷数据,以均方根误差(RMSE)、平均绝对误差(MAE)、平均绝对百分比误差(MAPE)、拟合度(R^(2))作为评价指标,并与其他基础预测模型进行对比,结果表明,改进后的算法在计算精度、稳定性方面均优于其他基础预测模型。

关键词：长短期预测双层优化樽海鞘群算法变分模态分解叠加预测

Electricity Services Based Dependability Model of Power Grid Communication Networking

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Tsinghua Science and Technology 2014年第2期19卷 121-132页

作者： jiye wang Kun Meng Junwei Cao Zhen Chen Lingchao Gao Chuang Lin Department of Information and Communication State Grid the Computer School Beijing Information Science and Technology University Department of Computer Science and Technology Tsinghua University the Research Institute of Information Technology Tsinghua National Laboratory for Information Science and TechnologyTsinghua University

The technology of Ultra-High Voltage （UHV） transmission requires higher dependability for electric power grid. Power Grid Communication Networking （PGCN）, the fundamental information infrastructure, severs data transmission including control signal, protection signal, and common data services. Dependability is the necessary requirement to ensure services timely and accurately. Dependability analysis aims to predicate operation status and provide suitable strategies getting rid of the potential dangers. Due to the dependability of PGCN may be affected by external environment, devices quality, implementation strategies, and so on, the scale explosion and the structure complexity make the PGCN＇s dependability much challenging. In this paper, with the observation of interdependency between power grid and PGCN, we propose an electricity services based dependability analysis model of PGCN. The model includes methods of analyzing its dependability and procedures of designing the dependable strategies. We respectively discuss the deterministic analysis method based on matrix analysis and stochastic analysis model based on stochastic Petri nets.

关键词： power grid communication networking dependability stochastic Petri nets strategy design

基于分层模糊神经网络的边缘侧光伏发电能量预测

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现代电力 2024年第3期41卷 490-499页

作者：张树华王继业王辰赵传奇张鋆华北电力大学电气与电子工程学院北京市昌平区102206 中国电力科学研究院有限公司北京市海淀区100192

以分布式光伏为代表的新能源广泛接入,带来业务实时响应、台区内智能分析处理等新需求,目前关于分布式新能源消纳本地自治的解决方案还鲜见报道,新能源消纳的关键在于光伏发电的准确预测与边缘物联装置研制。基于电网调度物联网,面向台... 详细信息

以分布式光伏为代表的新能源广泛接入,带来业务实时响应、台区内智能分析处理等新需求,目前关于分布式新能源消纳本地自治的解决方案还鲜见报道,新能源消纳的关键在于光伏发电的准确预测与边缘物联装置研制。基于电网调度物联网,面向台区自治快速响应的需求,提出一种结合台区能量路由器的新能源消纳本地自治解决方案,研制面向分布式新能源消纳的能源控制器,并基于分层模糊神经网络算法对光伏发电的能量进行预测。研究表明,所研制的能源控制器以及提出的分层模糊神经网络模型在边缘侧台区自治中具有一定的效果和优势。

关键词：能量路由器分布式光伏发电预测模型新能源消纳

Analysis of users’ electricity consumption behavior based on ensemble clustering

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Global Energy Interconnection 2019年第6期2卷 479-489页

作者： Qi Zhao Haolin Li Xinying wang Tianjiao Pu jiye wang China Electric Power Research Institute Haidian DistrictBeijing100192P.R.China Northeastern University 360 Huntington AveBostonMA02115United States of America

Due to the increase in the number of smart meter devices,a power grid generates a large amount of data.Analyzing the data can help in understanding the users’electricity consumption behavior and demands;thus,enabling better service to be provided to them.Performing power load profile clustering is the basis for mining the users’electricity consumption behavior.By examining the complexity,randomness,and uncertainty of the users’electricity consumption behavior,this paper proposes an ensemble clustering method to analyze this behavior.First,principle component analysis(PCA)is used to reduce the dimensions of the data.Subsequently,the single clustering method is used,and the majority is selected for integrated clustering.As a result,the users’electricity consumption behavior is classified into different modes,and their characteristics are analyzed in detail.This paper examines the electricity power data of 19 real users in China for simulation purposes.This manuscript provides a thorough analysis along with suggestions for the users’weekly electricity consumption behavior.The results verify the effectiveness of the proposed method.

关键词： Users’electricity consumption Ensemble clustering Dimensionality reduction Cluster validity