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检索条件"机构=State Key Laboratory of Smart Grid Protection and Control"

共 549 条记录，以下是161-170 订阅

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Study on 24h Dynamic Reactive Power Optimization Considering Safety Operation Limit of Generators

Study on 24h Dynamic Reactive Power Optimization Considering...

引用

2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Lu, Bin Xu, Xi Yu, Zhipeng Wang, Wen Gu, Xuenan NARI Group Corporation State Grid Electric Power Research Institute China NARI Technology Co. Ltd. China State Key Laboratory of Smart Grid Protection and Control China Southeast University Nanjing China

ISBN: (纸本)9781728135205

In order to solve the practical problem of 24-hours dynamic reactive power optimization in power system dispatching, according to the limit output range of generator's operation, this paper divides generator's operation into three regions in PQ mathematical model and takes the action times of discrete control equipment as global inequality constraints, finally establishes a complete 24-hours non-linear mixed integer dynamic reactive power optimization mathematical model. The simulation results show that the mathematical model in this paper can adjust the output of the generators according to the actual situation effectively when the generators are in phase-leading operation. In addition, dynamic reactive power optimization reduces the number of control equipment's action at the cost of increasing active power loss in the whole network. So, In order to ensure the safe and economic operation of power grid, it is necessary to coordinate the relationship between active power loss and the constraints of control equipment's action. This paper has positive reference significance for power system dispatching. © 2019 IEEE.

关键词： Electric power transmission networks

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Source-Load Joint Probability Prediction Based on Transformer Model 5

Source-Load Joint Probability Prediction Based on Transforme...

引用

5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Hu, Pingzhao Shan, Xin Hu, Diangang Fu, Jiayu Wang, Chen Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing China Co. Ltd. State Grid Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China State Grid Gansu Electric Power Co. Ltd. Gansu China

ISBN: (纸本)9781665499132

Renewable energy power generation prediction, including wind and photovoltaic power prediction, is usually performed separately from load prediction, while there are significant internal relationships between renewable energy power generation and load consumption. Therefore, exploring the relationship between source and load, and implementing sourceload joint prediction may improve the accuracy of source-load prediction simultaneously. This paper proposes a source-load joint probability prediction method, PCMDT (Probability-CNN-Multi-Decoder-Transformer), based on Transformer model. Firstly, we analyzed the possible aspects of the relationship between renewable energy and load. Then the CMDT(CNN-Multi-Decoder-Transformer) model was used to realize the point prediction of renewable energy power generation and load power. Next, the conditional quantile was obtained by optimizing the quantile loss function (Pinball Loss) to realize the joint probability prediction of source and load. Finally, the model was tested on a public state-level dataset. Comparing the results of source-load joint prediction with non-joint prediction, the proposed model can improve the accuracy of renewable energy and load prediction. © 2022 IEEE.

关键词： Forecasting

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Thermal simulation optimization of DC charger based on ANSYS Icepak 14

Thermal simulation optimization of DC charger based on ANSYS...

引用

14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Wang, Yu Zhou, Feiyu Wen, Tan Su, Yan Yuan, Li Wang, Ke State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9798350301359

As one of the most important charging facilities for electric vehicles, DC chargers provide power supplements for electric vehicles. With the continuous development of DC chargers, the power density of their internal functional modules is also increasing. It is urgent to choose a reasonable heat dissipation method to reduce the overall temperature rise inside the DC charger and ensure its safe operation. In this paper, the 80kW DC charger is taken as the research object, and based on ANSYS Icepak thermal simulation software, the internal temperature field and fluid field of the DC charger are simulated and analyzed, and the design scheme of the DC charger is optimized by studying the heat dissipation system. Finally, the optimization scheme of the air duct structure of the system is obtained by adjusting the position of the heat dissipation fan. © 2023 IEEE.

关键词： ANSYS Icepak DC charger heat dissipation temperature thermal simulation

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A Coupled RTK/INS Positioning Method Based on Robust Estimation 14th

A Coupled RTK/INS Positioning Method Based on Robust Estimat...

引用

14th China Satellite Navigation Conference, CSNC 2024

作者： Yu, Huizhen Teng, Xianliang Pan, Shuguo Zhang, Min Shen, Jian Gao, Wang School of Instrument Science and Engineering Southeast University Nanjing210096 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9789819969319

In the urban environment, the positioning results of RTK/INS integrated navigation are often influenced by grosses, which degrades the positioning accuracy and damages the stability of the navigation system. To solve this dilemma, a loose coupled RTK/INS positioning method based on robust estimation is proposed. Firstly, during RTK positioning, for eliminating corrupted measurements caused by Non-Line-of-Sight (NLOS) signals and multipath, this paper researches the RTK positioning algorithm based on bifactor robust estimation. In this method, the ambiguity is fixed and solved back into the Double-Difference (DD) equation in least square model. The posterior residual vector is used for the bifactor robust processing to eliminate the influence of some abnormal observations. Then, the RTK positioning results are loosely integrated with Inertial Navigation System (INS), and the robust processing based on Huber equivalent weight function is implemented in the process of the Kalman filter update. Finally, the proposed algorithm is validated by vehicle data in a typical urban environment. The experimental results show that compared with the traditional least squares-based RTK, the accuracy of the bifactor RTK method is improved by 2.48 cm in the horizontal direction. Meanwhile, in contrast with the RTK/INS method based on the single robust processing, the accuracy of the proposed robust bifactor error method in the horizontal direction is increased by 3.85 cm. The navigation accuracy and reliability are significantly enhanced. In dynamic environment, this research has certain theoretical reference and practical value for vehicular and autonomous driving applications. © Aerospace Information Research Institute 2024.

关键词： Kalman filters

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Compact Valve Hall Layout of DC Transformer for Offshore Wind Farm All-DC Collection Platform 7

Compact Valve Hall Layout of DC Transformer for Offshore Win...

引用

2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Huang, Junwei Chao, Wujie Deng, Chaoping Dai, Liyu Wang, Jinke Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou350007 China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou350007 China

To solve the problems of high investment cost, difficulty in improving AC collection efficiency, and broadband resonance in flexible DC transmission of offshore wind power, researchers have proposed an all-DC collection system. To further optimize the economic efficiency of offshore wind farm engineering, this paper studies on the compact valve hall layout of DC transformer for offshore wind farm all-DC collection platforms. The minimum air clearance inside the valve hall was determined based on the insulation level of the DC transformer, and a compact valve hall layout plan for the DC transformer was proposed, taking into account factors such as the electrical main wiring scheme, weight distribution, and symmetrical balance. The proposed compact valve hall layout scheme for DC transformers can reduce the volume of offshore all-DC collection platforms, save engineering construction costs, and improve the efficiency of offshore wind farms. This article can provide reference and guidance for subsequent research on all-DC collection and economic transmission of large-scale offshore wind farms. © Published under licence by IOP Publishing Ltd.

关键词： Offshore wind farms

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Reliability analysis of autonomous controllable protection device in power system 8

Reliability analysis of autonomous controllable protection d...

引用

8th International Conference on Power Electronics Systems and Applications, PESA 2020

作者： Li, Chen. Yutao, Qiu. Jianing, Chen. Xuliang, Huang. State Key Laboratory of Smart Grid Protection and Control China Co. Ltd Nanjing China State Grid Zhe Jiang Electric Power Co .LTD. China State Grid Zhejiang Electric Power Company Hangzhou Power Supply Company China

ISBN: (纸本)9781728193823

With the deepening of the concept of autonomous control in the power system, more and more attention is paid to the stability of the protection device itself. Compared with the primary equipment condition monitoring, the fault of the secondary protection device will be more concealed. This paper analyzes the factors affecting the reliability of protection devices, forms the life cycle prediction method of substation protection devices, and ensures the safe and stable operation of intelligent substation. Analyzed the reliability of the relay protection device related concepts, from the failure mechanism, through the establishment of joint aging failure based on the Arrhenius model and Weibull distribution model, and based on grid relay protection device, the data is using LM method for joint failure rate estimate the parameters of the model, get old equipment failure rate model of concrete, to determine the reliability of the protection device and the effective service life. An example shows that the model proposed in this paper can effectively predict the failure trend and life boundary of the device, and provide a theoretical basis for the daily maintenance of smart substation. © 2020 IEEE.

关键词： Weibull distribution

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Assessment of Reactive Power Reserve for DC Continuous Commutation Failure 6

Assessment of Reactive Power Reserve for DC Continuous Commu...

引用

6th International Conference on Power and Renewable Energy, ICPRE 2021

作者： Chen, Yingjie Liu, Hui Chen, Qian Xu, Wei Yang, Junjun NARI Group Corporation / State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Beijing Electric Power Co. Ltd. Beijing China State Grid Beijing Electric Power Research Institute Beijing China

ISBN: (纸本)9781665449618

Real-time assessment of the risk of continuous commutation failure of the thyristor-based phase-controlled commutation direct current transmission system (LCC-HVDC) and timely preventive control measures are of great significance to ensure the safe and stable operation of the large power grid. This paper proposes a method for evaluating effective dynamic reactive power reserve of generators to deal with DC continuous commutation failure. The maximum reactive power increment of the generator corresponding to the secondary drop of the converter bus voltage is defined as the effective dynamic reactive power reserve. The effective dynamic reactive power reserve at the critical point is called the maximum effective dynamic reactive power reserve. When the system dynamic reactive power reserve is less than the reserve capacity threshold, a two-stage preventive control measure searching method is adopted. First, increase the terminal voltage of the generator and the static reactive power compensation. If the requirements are still not met, the start-up unit measures will be adopted. An example of an actual power grid verifies the effectiveness of the method. © 2021 IEEE.

关键词： Reactive power

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A Defects Detection System for Substation Based on YOLOX 5

A Defects Detection System for Substation Based on YOLOX

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Cui, Yao Huang, Xin Zhang, Xin Ye, Junjie Zhong, Linlin State Key Laboratory of Smart Grid Operation and Control Nanjing China Southeast University School of Electrical Engineering Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

To improve the intelligent supervision level of substation, a defects images dataset facing to substation scenario was built by collecting and labeling a huge number of images about substation equipment defects. Then a transfer learning model based on the YOLOX model was trained by adjusting the model training parameters. Finally, a model with 87.4 % mean average precision and affordable speed (about 0.07 second per image) was constructed. And the experiments results proved that this model can detect the preset defects of substation equipment accurately in acceptable speed according to the visible image obtained from monitoring equipment, which means it has satisfying application potential in future. © 2022 IEEE.

关键词： Object detection

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Reliability assessment of power systems with wind farms considering correlations 4

Reliability assessment of power systems with wind farms cons...

引用

4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Wu, Yuwei Wu, Hai Hu, Guo Zhihua, Xu Qi, Huang NARI Technology Development Co. Ltd. Nanjing211106 China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9781665415965

Wind power has the characteristics of randomness and intermittent, with the increasing unit capacity of wind turbines and wind farm scale, it is urgent to study the impact on generation and transmission system reliability. In addition, there are different degrees of correlation among regional multiple wind farms because of their geographic proximity. When it comes to research on the influence on the power system reliability, the analysis result will be larger error without considering the correlation, which is optimistic for reliability assessment. Therefore, it is meaningful to take the correlation into account in wind power system reliability assessment. In this paper, IEEE-RTS 79 generation and transmission reliability test system is adopted to verify the reliability assessment of power systems with wind farms considering correlations. The experimental results show that adding wind turbines in the original power system, system reliability has been greatly improved;and the system has higher reliability with given the considering the correlation between wind farms. © 2021 IEEE.

关键词： Wind farm

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Construction of Dynamic Knowledge Graph for grid day-ahead Scheduling Optimization Decision 10

Construction of Dynamic Knowledge Graph for Grid day-ahead S...

引用

10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022

作者： Yan, Qing Ding, Maosheng Lu, Jixiang Lu, Jinjun Yang, Huibiao Xie, Feng Nanjing China Nari Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Ningxia Electric Power Co. Ltd. Ningxia China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

As a new generation technology representative of knowledge engineering, knowledge graph is a large-scale semantic network, which has natural advantages in extracting knowledge from multi-source heterogeneous information, complex and highly correlated knowledge representation and reasoning. Based on the analysis of the application status of the grid day-ahead scheduling optimization decision-making technology and the demand for improving the intelligent processing capability, the key technologies and methods for the application of knowledge graph in the grid day-ahead scheduling optimization decision-making are proposed. The key technologies, application ideas and process methods of knowledge graphs are analyzed from the aspects of the design of knowledge ontology framework in the field of day-to-day dispatching of power grids, high-quality phrase mining and entity recognition, relation extraction and knowledge fusion, and scene-based dynamic knowledge graph update. Finally, the application and challenges of knowledge graph in the field of grid day-ahead scheduling in the future are summarized and prospected. © 2022 IEEE.

关键词： Knowledge graph

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