检索结果-南通市图书馆

Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 874-885页

作者： Wenlong Liao dechang yang Qi Liu Yixiong Jia Chenxi Wang Zhe yang Wind Engineering and Renewable Energy Laboratory Ecole Polytechnique Federale de Lausanne(EPFL)Lausanne 1015Switzerland the College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China the Department of Electrical and Electronic Engineering(Energy Digitalization Laboratory) The University of Hong KongHong KongChina the Department of Electrical Engineering The Hong Kong Polytechnic UniversityHong KongChina

Reactive power optimization of distribution networks is traditionally addressed by physical model based methods,which often lead to locally optimal solutions and require heavy online inference time *** improve the quality of the solution and reduce the inference time burden,this paper proposes a new graph attention networks based method to directly map the complex nonlinear relationship between graphs(topology and power loads)and reactive power scheduling schemes of distribution networks,from a data-driven *** graph attention network is tailored specifically to this problem and incorporates several innovative features such as a self-loop in the adjacency matrix,a customized loss function,and the use of max-pooling ***,a rulebased strategy is proposed to adjust infeasible solutions that violate *** results on multiple distribution networks demonstrate that the proposed method outperforms other machine learning based methods in terms of the solution quality and robustness to varying load ***,its online inference time is significantly faster than traditional physical model based methods,particularly for large-scale distribution networks.

关键词： Reactive power optimization graph neural network distribution network machine learning data-driven

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Robust State Estimation for an Electricity-Gas-Heat Integrated Energy System Considering Dynamic Characteristics

引用

Protection and Control of Modern Power Systems 2024年第1期9卷 65-80页

作者： Jianshu Yu dechang yang Jinye Cao Payman Dehghanian Nikita Tomin 不详 College of Information and Electrical Engineering China Agricultural UniversityBeijing 100084China China Agricultural University

The data for an energy management system(EMS)in an integrated energy system(IES)is obtained through state *** is then the basis for optimal scheduling,protection and *** present,the dynamic models of gas and heat networks are rarely considered in such state estimation,and the method lacks *** paper develops dynamic state estimation models for gas and heat networks,and proposes a unified method for the electricity-gas-heat network,one which takes into account robustness while ensuring ***,the state transition equations in matrix form are formulated according to finite difference models consid-ering the dynamic characteristics of the gas and heat ***,combined with a quasi-steady state model of the electric power system,a unified state estimation method and multi-time-scale measurement strategy in the Kalman filter framework are *** addition,the prediction accuracies of the electric power and gas systems are improved through adaptive *** kernel density estimation method is used to adjust the measurement weights and filter out bad data to ensure robust state ***,simulation results show that the proposed method not only can improve the estimation accuracy by improving prediction accuracy,but also is robust to various types of bad data.

关键词： estimation prediction unified

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

考虑三端智能软开关与孤岛划分结合的主动配电网故障恢复研究

引用

电力科学与技术学报 2024年第2期39卷 124-133页

作者：夏周武马文祚杨德昌国网冀北电力有限公司北京100054 中国农业大学信息与电气工程学院北京100083

配电网中接入分布式电源和智能软开关后,其形态和特征发生了明显的变化,并逐步演变为主动配电网。在故障恢复阶段,通过对失电区域进行孤岛划分提升配电网中负荷的恢复率,是提高主动配电网供电可靠性的重要环节之一。为此,提出一种三端... 详细信息

配电网中接入分布式电源和智能软开关后,其形态和特征发生了明显的变化,并逐步演变为主动配电网。在故障恢复阶段,通过对失电区域进行孤岛划分提升配电网中负荷的恢复率,是提高主动配电网供电可靠性的重要环节之一。为此,提出一种三端智能软开关和孤岛划分相配合的主动配电网故障恢复方法。首先,建立基于分布式电源供电能力的时序孤岛划分模型,并考虑相邻孤岛的结合方案;然后,分析智能软开关的接入对主动配电网故障恢复和三端智能软开关不同接入位置的影响,通过二阶锥转化,将难以求解的非线性问题转化为标准二阶锥模型并求解;最后,以改进IEEE 33节点主动配电网算例进行分析,验证该文所提方法的有效性。

关键词：主动配电网故障恢复孤岛划分三端智能软开关量化分析

来源：

维普期刊数据库

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

考虑可平移负荷和智能软开关的主动配电网故障恢复方法

引用

电力科学与技术学报 2024年第1期39卷 183-192页

作者：杨德昌吴燕 Pandzic Hrvoje Tomin Nikita 中国农业大学信息与电气工程学院北京100083 中国人民大学新校区建设办公室北京100872 萨格勒布大学电气与计算机工程学院萨格勒布10000 俄罗斯科学院西伯利亚分院能源研究所新西伯利亚630090

在配电网发生故障后,主动配电网能够实现用户侧参与功率的实时供需平衡,满足故障后的负荷恢复。用户参与配电网的调度也是提升故障后负荷恢复比例的途径之一,可平移负荷具有较强的可控性,有效提升了主动配电网的灵活性,智能软开关等新... 详细信息

在配电网发生故障后,主动配电网能够实现用户侧参与功率的实时供需平衡,满足故障后的负荷恢复。用户参与配电网的调度也是提升故障后负荷恢复比例的途径之一,可平移负荷具有较强的可控性,有效提升了主动配电网的灵活性,智能软开关等新兴可控设备的接入,也使负荷的快速供电成为可能。本文建立了考虑可平移负荷和智能软开关的主动配电网故障恢复模型,并考虑了负荷的重要性系数。通过改进的IEEE 33节点算例进行仿真分析,构建单一故障、多点故障、短时故障的场景,验证了本文所提出方法的有效性以及可控装置对故障后负荷恢复量的提升。

关键词：主动配电网故障恢复可平移负荷智能软开关重要性系数

来源：

维普期刊数据库博看期刊

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Data-driven Missing Data Imputation for Wind Farms Using Context Encoder

引用

Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 964-976页

作者： Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai dechang yang Yusen Wang Department of Energy Technology Aalborg UniversityAalborgDenmark College of Information and Electrical Engineering China Agricultural UniversityBeijingChina School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

High-quality datasets are of paramount importance for the operation and planning of wind ***,the datasets collected by the supervisory control and data acquisition(SCADA)system may contain missing data due to various factors such as sensor failure and communication *** this paper,a data-driven approach is proposed to fill the missing data of wind farms based on a context encoder(CE),which consists of an encoder,a decoder,and a *** deep convolutional neural networks,the proposed method is able to automatically explore the complex nonlinear characteristics of the datasets that are difficult to be modeled *** proposed method can not only fully use the surrounding context information by the reconstructed loss,but also make filling data look real by the adversarial *** addition,the correlation among multiple missing attributes is taken into account by adjusting the format of input *** simulation results show that CE performs better than traditional methods for the attributes of wind farms with hallmark characteristics such as large peaks,large valleys,and fast ***,the CE shows stronger generalization ability than traditional methods such as auto-encoder,K-means,k-nearest neighbor,back propagation neural network,cubic interpolation,and conditional generative adversarial network for different missing data scales.

关键词： Data-driven missing data imputation wind farm deep learning context encoder

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A scalable versatile methodology to construct micro/nano open-cell polypropylene foam with high oil adsorption capacity and speed

引用

Nano Research 2024年第4期17卷 2814-2823页

作者： Chenguang yang dechang Tao Kun Yan Zhiyao Li Qingshi Guo Wenwen Wang Dong Wang Key Laboratory of Textile Fiber and Products(Wuhan Textile University) Ministry of EducationWuhan Textile UniversityWuhan 430200China College of Chemistry Chemical Engineering and BiotechnologyDonghua UniversityShanghai 201620China

Oil pollution is a serious environmental and natural resource *** adsorption materials for oil–water separation have limitations in terms of their preparation cost,reusability,and mechanical *** the conventional adsorption materials,super-hydrophobic/super-lipophilic materials are easily contaminated by *** this study,polypropylene(PP)is used as a foam substrate to prepare an open-cell PP foam via hot pressing,supercritical CO_(2) foaming,and electron beam(EB)*** impact of EB irradiation dose on the open-cell content of PP foam can lead to cell wall rupture,resulting in an open-cell structure that enhances oil-water separation *** an absorbed radiation dose of 200 kGy,the PP foams exhibit optimal oil–water separation performance,cyclic compression stability,heat insulation,and preparation *** open-cell content of PP foam is increased to 86.5%,the adsorption capacity for diesel oil is 42.8 g/g,and the adsorption efficiency remains at 99.6%after 100 cycles of oil desorption in a complex pH ***,cracks and nano-voids simultaneously promote the capillary action of oil,and the oil transport rate is 0.0713 g/(g·s).This study provides a new concept for the preparation of open-cell polymer foams that can meet the demand for high oil-absorption capacity under complex acid-base pH conditions.

关键词： open-cell polypropylene(PP)foam electron beam irradiation oil/water separation cyclic compression complex acid-base pH conditions

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fault Diagnosis of Power Transformers Using Graph Convolutional Network

引用

CSEE Journal of Power and Energy Systems 2021年第2期7卷 241-249页

作者： Wenlong Liao dechang yang Yusen Wang Xiang Ren Department of Energy Technology Aalborg UniversityAalborg 9220Denmark College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology-StockholmSE-10044Sweden North China Electric Power Research Institute Co. Ltd.Beijing 100045China

Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity *** accuracy is limited,since they are hard to learn from other algorithms to improve their own *** improve the accuracy of transformer fault diagnosis,a novel method for transformer fault diagnosis based on graph convolutional network(GCN)is *** proposed method has the advantages of two kinds of existing ***,the adjacency matrix of GCN is utilized to fully represent the similarity metrics between unknown samples and labeled ***,the graph convolutional layers with strong feature extraction ability are used as a classifier to find the complex nonlinear relationship between dissolved gas and fault *** back propagation algorithm is used to complete the training process of *** simulation results show that the performance of GCN is better than that of the existing methods such as convolutional neural network,multi-layer perceptron,support vector machine,extreme gradient boosting tree,k-nearest neighbors and Siamese network in different input features and data volumes,which can effectively meet the needs of diagnostic accuracy.

关键词： Power transformer fault diagnosis graph convolutional network similarity metrics

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Novel C_(sf)/SiBCN composites prepared by densifying C_(sf)/MA-SiBCN with the PIP process:Oxidation behavior and damage mechanism

引用

Journal of Advanced Ceramics 2024年第5期13卷 666-678页

作者： Wenhao Dou Daxin Li Bingzhu Wang Zhihua yang Jun Chen dechang Jia Ralf Riedel Yu Zhou Institute for Advanced Ceramics School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001China Key Laboratory of Advanced Structural-Functional Integration Materials and Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001China Chongqing Research Institute of HIT Chongqing 401135China Beijing Institute of Control Engineering Beijing 100094China Institut für Materialwissenschaft Technische Universität DarmstadtDarmstadt D-64287Germany School of Materials Science and Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China

To improve the oxidation resistance of short carbon fiber(C_(sf))-reinforced mechanically alloyed SiBCN(MA-SiBCN)(C_(sf)/MA-SiBCN)composites,dense amorphous C_(sf)/SiBCN composites containing both MA-SiBCN and polymer-derived ceramics SiBCN(PDCs-SiBCN)were prepared by repeated polymer infiltration and pyrolysis(PIP)of layered C_(sf)/MA-SiBCN composites at 1100℃,and the oxidation behavior and damage mechanism of the as-prepared C_(sf)/SiBCN at 1300–1600℃ were compared and discussed with those of C_(sf)/*** C_(sf)/MA-SiBCN composites resist oxidation attack up to 1400℃ but fail at 1500℃ due to the collapse of the porous framework,while the PIP-densified C_(sf)/SiBCN composites are resistant to static air up to 1600℃.During oxidation,oxygen diffuses through preexisting pores and the pores left by oxidation of carbon fibers and pyrolytic carbon(PyC)to the interior of the *** to the oxidative coupling effect of the MA-SiBCN and PDCs-SiBCN matrices,a relatively continuous and dense oxide layer is formed on the sample surface,and the interfacial region between the oxide layer and the matrix of the as-prepared composite contains an amorphous glassy structure mainly consisting of Si and O and an incompletely oxidized but partially crystallized matrix,which is primarily responsible for improving the oxidation resistance.

关键词： mechanically alloyed SiBCN(MA-SiBCN) polymer-derived ceramics SiBCN(PDCs-SiBCN) short carbon fiber-reinforced SiBCN(C_(sf)/SiBCN)composites polymer infiltration and pyrolysis(PIP) oxidation damage mechanism

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Security Analysis of a Park-level Agricultural Energy Network Considering Agrometeorology and Energy Meteorology

引用

CSEE Journal of Power and Energy Systems 2020年第3期6卷 743-748页

作者： Xueqian Fu dechang yang Qinglai Guo Hongbin Sun College of Information and Electrical Engineering China Agricultural UniversityChina State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityChina

China’s industrial manufacturing industry is well developed,but its agriculture is *** only way to solve this problem is to improve through modern *** cross integration of new energy development and modern agriculture is becoming more and more ***,the research on the interaction between the meteorological disaster of facility agriculture and the power supply security of the integrated energy supply system has not formed a systematic theoretical system,which challenges the collaborative security of the facility agriculture and energy *** this paper,energy meteorology and agrometeorology are considered and modeled,and the static security of a park-level agricultural energy network is simulated and analyzed under different weather conditions.

关键词： Agrometeorology energy network energy meteorology security analysis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A novel method for analyzing dominant oscillation mode based on improved EMD and signal energy algorithm

引用

Science China(Technological Sciences) 2011年第9期54卷 2493-2500页

作者： yang dechang REHTANZ C LI Yong TANG Wei Institute of Power Systems and Power Economics TU-Dortmund 44227 Dortmund Germany College of lnforrnation and Electrical Engineering China Agricultural University Beijing 100083 China

In this paper,a novel method that integrates the improved empirical mode decomposition(EMD)and signal energy algorithm is proposed to estimate the dominant oscillation parameters and corresponding mode ***,the EMD with symmetrical extrema extension(SEE)is utilized to decompose the measured data from wide area measurement system(WAMS)into a finite set of intrinsic mode functions(IMFs).Then,the signal energy algorithm is used to calculate the approximate oscillation parameters of the *** nodes involved the dominant oscillation mode are classified based on the calculated frequency and reasonable ***,for the dominant oscillation mode,the IMF with maximum mean amplitude is defined as the ***,the relative phases(RPs)between the reference IMF and other IMFs are calculated in order to identify the negative and positive oscillation *** to the values of RPs,the coherent group and corresponding node contribution factor(NCF)can be identified,and the dominant approximate mode shape(AMS)can also be *** efficiency of the proposed approach is tested by applying it to synthetic signal and measured data from the simulation model.

关键词：振荡模式合成信号量算法 EMD 国际货币基金组织经验模式分解广域测量系统振荡参数

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：