检索结果-内蒙古大学图书馆

IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Shengwen Li Jinhao Wang Xiaoqian Chen Wenping Qin Yizhao Liu Zhongjie Wang Yang Yang Yong Ren Power Grid Technology Center Electric Power Research Institute of State Grid Shanxi Electric Power Company Taiyuan China Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China

ISBN: (纸本)9781665434263

DC line protection is a key issue in the development of DC distribution networks. The biggest challenge is to identify fault sections quickly and reliably. In order to ensure the reliable operation of the DC grid, this paper takes a typical four-port ring medium voltage distribution network as an example to propose a DC protection network fault protection strategy based on DC inductors. Since the parameters involved in this criterion are all implemented by local measurements, it has the characteristics of real-time communication independent of off-site signals. The MMC-based four-port DC distribution network was modelled using a real-time digital simulator (RTDS), and a number of simulation experiments were performed to verify the effectiveness of the proposed protection scheme. The simulation results show that the proposed protection method not only can detect faults quickly and accurately, but also has a certain effect on detecting high-impedance faults.

关键词： Fault diagnosis simulation Fault protection Distribution networks Medium voltage system integration Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Optimal Sizing of Photovoltaic and Battery Energy Storage of Electric Vehicle Charging Station Based on Two-part Electricity Pricing

Optimal Sizing of Photovoltaic and Battery Energy Storage of...

引用

2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Wang, Conghui Tian, Liting Zhang, Fang Cheng, Lin School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781728191645

This paper focuses on optimal sizing of photovoltaic (PV) and battery energy storage system (BESS) of special-use charging station for electric taxi cabs. Aiming to minimize annual equivalent cost of the charging station under two-part electricity pricing mechanism, an optimal sizing algorithm of PV and BESS is established considering the randomness of PV output and the power constraint of the grid, as well as whether charging station participates in demand response (DR). The cooperative operation strategies of charging facilities, PV and BESS under typical scenarios are proposed. Considering the factors that affect the optimal results, this paper provides sensitivity analysis in a charging station. Finally, the proposed optimal sizing algorithm is verified in the charging station equipped with 24 EV charging piles, and the economic analysis of the optimal sizing scheme is carried out. Based on economical analysis of optimal sizing results, it is found out that the equivalent cost of EV charging station is lower when participating in demand response. The results show that the annual equivalent total cost of the charging station is significantly reduced under the new optimal sizing scheme. © 2020 IEEE.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Co-optimizing electric bus dispatching and charging considering limited resources and battery degradation

引用

Multimodal Transportation 2024年第4期3卷

作者： Niu, Chenming Chen, Qiuzi Tu, Ran Huang, Di Ye, Yujian School of Transportation Southeast University China Department of Civil and Environmental Engineering University of California Berkeley United States Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Transportation Laboratory) Ministry of Transport China School of Electrical Engineering Southeast University China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University China

This paper aims to formulate a mathematical model for a multi-type electric bus scheduling problem to determine the optimal fleet composition, bus-to-trip assignment, and partial charging schedule, where the battery degradation, nonlinear charging, and the constraint of charging station capacity are considered. A time-expanded network is proposed to represent the bus-to-trip assignment and partial charging. An adaptive large neighborhood search algorithm is designed to solve the problem. Using a multi-line bus network in Nanjing as the case, empirical operational data is used to generate monthly timetable samples to simulate the uncertainty of trip travel time and energy consumption. The result shows that the charging station capacity can be reduced from 20 (real-world case) to 12, considering the cost-effectiveness and robustness of the bus system. The result of this study also provides suggestions on the charging duration choices and the starting state-of-charge for different periods of the day. In peak and off-peak hours, 20-30-minute charging is recommended for electric buses with state-of-charge lower than 30 %, and 10-minute charging is more recommended when the state-of-charge of the electric bus is between 30 % and 70 %. © 2024 The Author(s)

关键词： Battery degradation Bus-to-trip assignment Energy consumption uncertainty Fleet composition Partial charging schedule

来源：评论

学校读者我要写书评

暂无评论

Adjustment Oriented Electricity Tariff Recommendation Based on Typical Customers

Adjustment Oriented Electricity Tariff Recommendation Based ...

引用

2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Xu, Guangda Liang, Jun Sun, Donglei Zhang, Li Li, Xueliang Han, Xueshan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

Tariff recommendation is an important marketing means for retailers in electricity market. Based on the power consumption data acquired by the advanced metering infrastructure, tariff recommendation can not only match customers with appropriate tariff but also guide customers to adjust power consumption strategy. In this paper, an adjustment oriented electricity tariff recommendation method based on typical customers is proposed. Fuzzy clustering algorithm is applied to power consumption data of appliances to extract the consumption feature of each kind of appliance. Then the decision tree is constructed, which correlate the class features of appliances with clusters of customers. Pre-pruning decision tree is deployed together with use of depth-first search to exclude meaningless nodes of the decision tree, so that the typical customer set is determined. The tariff recommendation model is constructed aiming at minimum electricity bill, which credits to optimize benchmark strategy of power consumption for typical customers. The model is solved by particle swarm optimization. simulations show that the proposed method enables customers to understand the adjustment signal revealed by the tariff, and results in electricity bill reduction due to participating in demand response as retailers expected. © 2020 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Emission Characteristics of Lead and Particulate Matter from Lead and Zinc Smelters in China

SSRN

引用

SSRN 2024年

作者： Zhang, Jiawei Sun, Xiaohui Wu, Qingru Deng, Jianguo Li, Zhijian Wen, Minneng Xu, Liwen Gu, Yongzheng Han, Tao Feng, Lei Duan, Lei State Key Joint Laboratory of Environmental Simulation and Pollution Control School of the Environment Tsinghua University Beijing100084 China Department of Aeronautics Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China Guodian Power Development Co. Ltd. Beijing100101 China CHN ENERGY New Energy Technology Research Institute Co. Ltd. Beijing102209 China

Understanding the emission characteristics of particulate matter and associated heavy metals is essential for assessing their environmental and health impacts post-emission, as well as for identifying potential control technologies for the sources. Here, a field test was conducted at two advanced smelting plants equipped with comprehensive air pollution control devices. The particles emitted from different stages of lead and zinc smelting exhibited bi-modal size distributions, with peaks observed in PM0.1-1.0 and PM2.5-10, respectively. Particulate-bound Pb was identified as the predominant Pb species in the flue gas, primarily originating from ore crushing. Consequently, over 80% of Pb was emitted in the form of coarse particles, a marked contrast to coal-fired power plants where Pb concentrated on fine particles. High efficiencies in Pb removal were achieved by dust collectors, flue gas purification systems, and acid plants with desulfurization systems, resulting in overall Pb emission factors in lead and zinc smelting were only 89.3 and 2.60 g t-1 (of metal production), respectively. Importantly, the contribution of gas-phase Pb, which accounts for approximately 16.6% of total emissions, must not be neglected in future emission monitoring and control efforts. © 2024, The Authors. All rights reserved.

关键词： Fossil fuel power plants

来源：评论

学校读者我要写书评

暂无评论

Feature Selection Method for Non-intrusive Load Monitoring with Balanced Redundancy and Relevancy

Feature Selection Method for Non-intrusive Load Monitoring w...

引用

2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Bao, Sheng Zhang, Li Li, Wensheng Sun, Donglei Zhang, Boyi Han, Xueshan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781728143033

Non-intrusive load monitoring(NILM) has become a key technology in the power Internet of Things and an important information source of load characteristics analysis. Whether the selected features are appropriate determines the effectiveness of load identification in NILM. In order to reduce redundance and improve relevance of the selected features, a feature selection method which integrates mutual information and Relief-F algorithm is proposed. Based on the analysis of the power consumption characteristics of various electrical appliances, the prospective components of the initial feature set for NILM is discussed. From the perspective of balancing redundancy and relevancy, the redundant features are removed by using mutual information algorithm, the relevance of the features are sorted by using Relief-F algorithm, and then the optimal feature subset is obtained. A k-NN identification algorithm is applied to test the effectiveness of the feature selection methods. The simulation results show that the proposed method is superior to other filter feature selection methods in robustness and universality, and can significantly improve the identification accuracy. © 2020 IEEE.

关键词： Redundancy

来源：评论

学校读者我要写书评

暂无评论

Development and test research of 10kV DC circuit breaker based on the principle of coupled negative voltage 16

Development and test research of 10kV DC circuit breaker bas...

引用

16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Li, Wei Liu, Bo Xiao, Fengliang Wang, Haoqing Wang, Yuanmeng Xie, Wengang Yu, Zhanqing Shandong Taikai High-Voltage Switchgear Co. Ltd. Tai'an China China Electric Power Research Institute. Beijing China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

With the increase of multi-terminal flexible DC distribution network projects, medium-voltage DC circuit breaker, as the key equipment to remove DC short-circuit fault, plays a key role in the operation reliability of the whole DC distribution network. In order to meet the engineering needs of DC distribution network, a 10kV hybrid DC circuit breaker based on the coupling negative voltage principle is developed in this paper. Firstly, the topology and working principle of the DC circuit breaker are introduced. Furthermore, the design scheme of key components including fast mechanical switch, power electronic switch and coupling negative voltage device is given. Finally, a 10kV hybrid DC circuit breaker prototype is developed and tested. The results show that the 10kV hybrid DC circuit breaker can break 15kA short circuit current within 2ms, and has the characteristics of low loss and high reliability. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Electric circuit breakers

来源：评论

学校读者我要写书评

暂无评论

Improved Insulation Properties of Polypropylene With Highly Orientated Lamellar Induced by NonIsothermal Shear Stress

引用

IET Nanodielectrics 2025年第1期8卷

作者： Huang, Lei Song, Yan-Hui Yin, Li-Juan Zhong, Shao-Long Dang, Zhi-Min Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China ZhongYuan Electric Laboratory Xuchang China

Polypropylene plays an irreplaceable role in electrical insulation and electrostatic capacitors and has been extensively studied with its microstructure and insulation properties optimised for high-power density miniaturised devices. The extrinsic modifiers or industrial upgrading have not yet achieved a remarkable breakthrough in either concise theory or comprehensive performance. Here, we develop a nonisothermal shear process on melt to regulate the nucleation density and the lamellar orientation along the surface and reveal pore defects in disorder boundaries between spherulites as the microscopic nature of the property bottleneck. The high-rated shear process induces a crystallographic surface texture of (1 1 0) planes from which the elimination of micro-defect benefits. Our high-rated shear strategy achieves an excellent dielectric strength of 573.7 MV/m with an increase of 33% and an improved insulation resistance by 130% at 100 MV/m with the minimised absorption of injected current. © 2025 The Author(s). IET Nanodielectrics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

关键词： Crystal orientation

来源：评论

学校读者我要写书评

暂无评论

Multi-objective partition planning for multi-infeed HVDC system

引用

Global Energy Interconnection 2021年第1期4卷 81-90页

作者： Zhao Yu Shuanbao Niu Chao Huo Ning Chen Kaige Song Xiaohui Wang Yu Bai State Grid Corporation of China Beijing100031P.R.China Northwest Branch State Grid Corporation of ChinaXi’an710048P.R.China National Key Laboratory of Operation and Control of Renewable Energy and Energy Storage China Electric Power Research Institute(Nanjing)Nanjing210003P.R.China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061P.R.China Langfang Power Supply Company State Grid Jibei Electric Power Company LimitedLangfang 065000P.R.China

The close proximity and the necessity of coordination between multiple high-voltage direct currents(HVDCs)raise the issue of grid partitioning in multi-infeed HVDC systems.A multi-objective partition strategy is proposed in this *** types of relationships to be coordinated and complemented are analyzed and formulated using quantitative *** to the graph theory,the HVDC partition is transformed into a graph-cut problem and solved via the spectral clustering ***,the proposed method is validated for a practical multi-HVDC grid,confirming its feasibility and effectiveness.

关键词： Multi-infeed HVDC system Grid partition Multi-objective planning Spectral clustering

来源：评论

学校读者我要写书评

暂无评论

MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile

arXiv

引用

arXiv 2024年

作者： Yu, Wenshuo Dong, Shiqi Lu, Shaoping Dong, Xintong The College of Instrumentation and Electrical Engineering Jilin University Jilin Changchun130026 China The Key Laboratory of Modern Power System Simulation and the Control and Renewable Energy Technology Ministry of Education Jilin Jilin City132012 China Department of Communication Engineering College of Electric Engineering Northeast Electric Power University Jilin Jilin City132012 China School of Earth Sciences and Engineering Sun Yat-Sen University Guangdong Guangzhou510275 China Guangdong Zhuhai519000 China Guangdong Provincial Key Lab of Geodynamics and Geohazards Sun Yat-Sen University Guangdong Guangzhou510275 China

Post-stack seismic profiles are images reflecting containing geological structures which provides a critical foundation for understanding the distribution of oil and gas resources. However, due to the limitations of seismic acquisition equipment and data collecting geometry, the post-stack profiles suffer from low resolution and strong noise issues, which severely affects subsequent seismic interpretation. To better enhance the spatial resolution and signal-to-noise ratio of post-seismic profiles, a multi-scale attention encoder-decoder network based on generative adversarial network (MAE-GAN) is proposed. This method improves the resolution of post-stack profiles, and effectively suppresses noises and recovers weak signals as well. A multi-scale residual module is proposed to extract geological features under different receptive fields. At the same time, an attention module is designed to further guide the network to focus on important feature information. Additionally, to better recover the global and local information of post-stack profiles, an adversarial network based on a Markov discriminator is proposed. Finally, by introducing an edge information preservation loss function, the conventional loss function of the Generative Adversarial Network is improved, which enables better recovery of the edge information of the original post-stack profiles. Experimental results on simulated and field post-stack profiles demonstrate that the proposed MAE-GAN method outperforms two advanced convolutional neural network-based methods in noise suppression and weak signal recovery. Furthermore, the profiles reconstructed by the MAE-GAN method preserve more geological structures. Copyright © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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：