检索结果-内蒙古大学图书馆

2009 Asia-Pacific power and Energy Engineering Conference, APPEEC 2009

作者： Wang, Jidong Key Laboratory of Power System Simulation and Control of Ministry of Education Tianjin University Tianjin China

ISBN: (纸本)9781424424870

With the proliferation of nonlinear loads as power electronics equipment, the disadvantage of harmonic is more and more, which influence quality of power grid. Active power filter (APF) is a new harmonic restraint method comparing with passive filter, which is a power electronics device. This paper inspects harmonic current based on three-phase circuit instantaneous reactive power theory and simulates a three-phase four-wire shunt active power filter. The simulation results validate parameter is reasonable. The outcome indicates that active power filter can suppress harmonic and neutral wire current and balance three-phase current effectivelY. © 2009 IEEE.

关键词： Wire

来源：评论

学校读者我要写书评

暂无评论

power system transient stability margin assessment using steady-state information

Power system transient stability margin assessment using ste...

引用

2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： An, Jun Mu, Gang Li, Zonghan Liu, Daowei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Jinlin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

Transient stability margin assessment provides power grid dispatchers with important criteria for decision-making and preventive control. The computational efficiency of online transient stability margin assessment can be largely improved with the use of steady-state information. In this paper, we propose a novel methodology for online stability margin assessment. A multi-swing based strategy that overcomes the false identification issues of previous methods is firstly illustrated. Based on this improved strategy, a composite neural network is constructed and trained offline to establish the mapping relationship between steady-state characteristics and generator transient stability indices. Finally, the trained neural network is utilized for online transient stability margin assessment. The major advantage of the proposed methodology is that we only use steady-state information in the online assessment process therefore system transient stability margin under worst disturbances can be fast and accurately predicted, providing system dispatchers with adequate time for preventive control. The validity of the proposed methodology is demonstrated in the IEEE 39-bus system. © 2019 IEEE.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Large-Scale Multi-Object Rearrangement

Large-Scale Multi-Object Rearrangement

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Huang, Eric Jia, Zhenzhong Mason, Matthew T. State Grid Liaoning Electric Power Co Ltd Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781538660263

This paper describes a new robotic tabletop rearrangement system, and presents experimental results. The tasks involve rearranging as many as 30 to 100 blocks, sometimes packed with a density of up to 40%. The high packing factor forces the system to push several objects at a time, making accurate simulation difficult, if not impossible. Nonetheless, the system achieves goals specifying the pose of every object, with an average precision of +/- 1 mm and +/- 2 degrees. The system searches through policy rollouts of simulated pushing actions, using an Iterated Local Search technique to escape local minima. In real world execution, the system executes just one action from a policy, then uses a vision system to update the estimated task state, and replans. The system accepts a fully general description of task goals, which means it can solve the singulation and separation problems addressed in prior work, but can also solve sorting problems and spell out words, among other things. The paper includes examples of several solved problems, statistical analysis of the system's behavior on different types of problems, and some discussion of limitations, insights, and future work.

关键词： Planning Task analysis Grasping Robots Annealing Trajectory Markov processes

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Evaluation of Distributed PV Grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

引用

Energy Engineering 2024年第3期121卷 703-728页

作者： Yue Yang Jiarui Zheng Long Cheng Yongnan Zhu Hao Wu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Siping Suburban Power Supply Company State Grid Jilin Electric Power Co.Ltd.Siping136000China

To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)*** on the traditional distribution network evaluation system,a comprehensive evaluation system has been *** fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid *** analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment *** subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum *** the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different *** setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.

关键词： Distributed PV grid-connected comprehensive evaluation evaluation indicator system combined subjective and objective empowerment TOPSIS-RSR method

来源：评论

学校读者我要写书评

暂无评论

An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

引用

Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

来源：评论

学校读者我要写书评

暂无评论

Infrared and Visible Image Fusion Based on Res2Net-Transformer Automatic Encoding and Decoding

引用

Computers, Materials & Continua 2024年第4期79卷 1441-1461页

作者： Chunming Wu Wukai Liu Xin Ma Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology School of Electrical EngineeringNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China School of Aeronautical Engineering Jilin Institute of Chemical TechnologyJilin132022China

A novel image fusion network framework with an autonomous encoder and decoder is suggested to increase thevisual impression of fused images by improving the quality of infrared and visible light picture fusion. The networkcomprises an encoder module, fusion layer, decoder module, and edge improvementmodule. The encoder moduleutilizes an enhanced Inception module for shallow feature extraction, then combines Res2Net and Transformerto achieve deep-level co-extraction of local and global features from the original picture. An edge enhancementmodule (EEM) is created to extract significant edge features. A modal maximum difference fusion strategy isintroduced to enhance the adaptive representation of information in various regions of the source image, therebyenhancing the contrast of the fused image. The encoder and the EEM module extract features, which are thencombined in the fusion layer to create a fused picture using the decoder. Three datasets were chosen to test thealgorithmproposed in this paper. The results of the experiments demonstrate that the network effectively preservesbackground and detail information in both infrared and visible images, yielding superior outcomes in subjectiveand objective evaluations.

关键词： Image fusion Res2Net-Transformer infrared image visible image

来源：评论

学校读者我要写书评

暂无评论

Multi-task learning and single-task learning joint multi-energy load forecasting of integrated energy systems considering meteorological variations

引用

Expert systems with Applications 2025年 288卷

作者： Nantian Huang Shicheng Ren Jianfei Liu Guowei Cai Liang Zhang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 Jilin Province China School of Electrical Engineering Northeast Electric Power University Jilin 132012 Jilin Province China The Economic and Technical Research Institute of State Grid Inner Mongolia Eastern Electric Power Company Hohhot 010010 Inner Mongolia Province China

Accurate multi-energy load forecasting is pivotal for achieving supply–demand balance and enabling economic dispatch in Integrated energy systems (IES). However, prediction accuracy is significantly compromised by meteorological fluctuations, seasonal coupling variations, and multi-energy interactions affecting multi-energy loads. This study proposes a joint multi-energy load forecasting framework integrating meteorological variation rate features with multi task learning (MTL) and single task learning (STL). First, historical load variation rates and meteorological variation rates are calculated, with rapid maximal information coefficient (RapidMIC) employed to identify dominant meteorological variation rates influencing multi-load fluctuations. Subsequently, a weighted average of correlation analysis method quantifies both linear and nonlinear impacts of meteorological variation rates on load fluctuations, enabling precise screening of critical meteorological input features. Second, addressing potential accuracy degradation in MTL models caused by coupling strength disparities among multi-energy loads, a joint forecasting method based on MTL-STL is proposed to enhance prediction precision. Furthermore, a loss function optimization strategy combining homoscedastic uncertainty (HU) and dynamic weight averaging (DWA) achieves real-time weight allocation in MTL. Finally, validation through case studies on IES at Arizona State University (ASU) and an industrial park in Gansu Province, China demonstrates the model’s effectiveness and generalizability: Across all seasons, MAPE values for electricity, cool, and heating loads remain stable within 1.068%-3.022%, 1.877%-5.331%, and 1.697%-3.999% respectively.

关键词： Multi-task learning

来源：评论

学校读者我要写书评

暂无评论

Cooperative grid modeling for interconnected multilevel multi-area power systems

Cooperative grid modeling for interconnected multilevel mult...

引用

International Conference on Electric Utility Deregulation and Restructuring and power Technologies

作者： Jia-An, Zhang Na, Zhang Key Laboratory of Power System Simulation and Control of Ministry of Education Tianjin University Tianjin 300072 China

ISBN: (纸本)9781457703638

With the formation of large-scale interconnected power systems, the grid structure and operation mode are becoming increasingly complicated. Currently, the power network model is maintained by distribution centers respectively according to the scope of jurisdiction. For power system analysis, the model data of the whole network is necessary, while only the internal data is transparent to a distribution center and the external data is not accessible directly. Therefore, the model data from distribution centers must be integrated in a high-level distribution center. Such a traditional approach cannot meet the efficiency requirements for large power grid analysis. This paper presents a method of network data modeling and maintenance for multi-level multi-area power systems, in which the local model data are maintained in each distribution center, the connection model is maintained in a higher level of distribution center, and all centers work cooperatively. In a distribution center, the graphic modeling tools should be supported and the local model data can be maintained manually or exported from the EMS. In the method, some technologies are considered, such as model data interfacing, version management, model data maintenance, etc. Cooperative modeling is helpful to improve the analysis efficiency and to reduce the burden of model data maintenance for large power grids. © 2011 IEEE.

关键词： Data integration

来源：评论

学校读者我要写书评

暂无评论

Network reconfiguration at the distribution system with distributed generators

Network reconfiguration at the distribution system with dist...

引用

2010 International Conference on Life system Modeling and simulation, LSMS 2010 and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010

作者： Xiaozhi, Gao Linchuan, Li Hailong, Xue Key Laboratory of Power System Simulation and Control Ministry of Education Tianjin University Tianjin 300072 China

This article proposes a novel model for distribution network reconfiguration to meet current distribution system operating demands. In the model the connection of distributed generators to distribution system is considered, and from the view of the actual operation demands, operating modes are proposed to simulate the load changes and DG fluctuations and can be used to achieve the aim that the network reconfigures only once in a period. Then the binary particle swarm optimization algorithm with dynamic adaptation of inertia weight has been applied to solve the model. A typical example proved the feasibility and validity of the model and the algorithm. © 2010 Springer-Verlag.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Analysis of directional pilot protection on transmission line with wind farm integration

Analysis of directional pilot protection on transmission lin...

引用

2011 International Conference on Advanced power system Automation and Protection, APAP 2011

作者： Li, Bin Lin, Meng Key Laboratory of Power System Simulation and Control of Ministry of Education Tianjin University Tianjin 300072 China

ISBN: (纸本)9781424496198

Increased integration of wind power makes higher demands on the stability and protection of power system. Wind farms are connected to power grid through transmission line. When single-phase fault occurs on the line, positive and negative sequence currents are not equal and are much smaller than zero sequence current. Phase selector based on the theory of current- difference sudden-change may mistake single-phase fault for phase-to-phase fault because positive and negative branch coefficients are not equal. Considering a case of mal-operation of directional pilot protection, the paper studies the impedance characteristics of asynchronous wind generator, analyzes the causes of weak feed and different branch coefficients, and explains their contribution to fault phase selector's mal-operation. The results are validated by simulation and an improvement for fault phase selection with wind farm integration is proposed. © 2011 IEEE.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：