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

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Analysis on the Influence of the DC bias on spatial magnetic flux leakage in the transformer

Analysis on the Influence of the DC bias on spatial magnetic...

引用

2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Zheng, Yuping Pan, Shuyan Xia, Yu Ouyang, Xi Shang, Hujun Zhou, Quan Nari Group Corporation Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China School of Electrical Engineering Chongqing University Chongqing China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

Magnetic flux leakage, as a basic physical parameter in power transformer, can be utilized to characterize the status of the winding. And the DC biasing, as a common abnormal operation condition, is caused by solar storms, DC power transmission and some railway power transmission. It can induce the current bias and the core saturation, further changing the distribution of the magnetic flux leakage. Therefore, it is significant and valuable to analyze the effect of DC biasing on spatial magnetic leakage flux. In the paper, we design a transformer finite element model with its physical fieldcircuit simulation module. The model with some detailed winding structure can obtain the accurate magnetic field signal. Then the effect of different degrees DC biasing on the magnetic leakage flux is analyzed in the inner key positions. And the 10kV shrunken experimental transformer imitating the 110 k V transformer is selected as the research object. Depending on the experimental platform, we obtain the actual magnetic field signals and explore the incidence relation between the magnetic leakage flux and the DC biasing. © 2022 IEEE.

关键词： Power transmission

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A Coordinated MMC control Strategy of Integrated Photovoltaic/Battery System 7

A Coordinated MMC Control Strategy of Integrated Photovoltai...

引用

7th IEEE International Conference on Energy Internet, ICEI 2023

作者： Yang, Yuexi Zhou, Xiao Wang, Sichao Li, Chunpeng Huang, Junwei Xu, Wenzheng State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China National Research Center for Active Distribution Network Technology Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350386684

The grid-connecting control and maximum power point tracking control of photovoltaic inverters have long been the research focus in the field of solar power generation. In this paper, a new coordinated modular multilevel converter (MMC) control strategy based on virtual synchronization and MPPT is proposed for grid-connected inverters in the PV/Battery system. The proposed strategy realizes frequency and voltage droop control with the synchro's inertia and damping characteristics, and improves the power angle stability as well as system voltage stability. Simulation results in MATLAB/Simulink verifies the feasibility and effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Solar energy

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Research on the differential protection of the SFC output transformer for pumped storage hydro unit

Research on the differential protection of the SFC output tr...

引用

2021 International Conference on Information Technology and Intelligent control, CITIC 2021

作者： Long, Feng Wan, Luofei Pan, Shuyan Liu, Xiaobao Wang, Zhonglang Zhao, Ruichen State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China NARI Technology Co. Ltd. Jiangsu Nanjing211106 China

Pumped storage power stations play an great role in promoting new energy consumption, ensuring the safety of power grid, building clean, low-carbon, safe and efficient energy system, and has a broad development prospect. SFC is the most important start-up mode of pumped storage unit, and the output transformer is an important equipment of SFC system, which needs to be equipped with reliable and fast differential protection to ensure its safe and reliable operation. The current frequency varies from 0 to 50Hz during SFC start-up, so the conventional transformer differential protection can not adapt. In this paper, the output transformer differential protection technology is studied according to the electrical characteristics and short circuit fault characteristics of SFC start-up process, the high precision frequency algorithm and the RMS integration algorithm with compensation are proposed to realize the precise measurement of frequency and amplitude, and the ultra-low frequency CT saturation identification technology is proposed to realize the whole process protection of the output transformer from start-up to grid-connection. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Energy utilization

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Typical Influence of Wind Power Capacity Expansion on the Transient Angle Stability and Feasible Explanations

Typical Influence of Wind Power Capacity Expansion on the Tr...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Tiangang Huang State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

The high proportion of renewable energy into the power grid, say, the large-scale wind power generation connected to the power grid, is the key approach to achieve the clean and low-carbon energy transition. Under the premise of ensuring power grid's safe and stable operation, it is necessary to study the influence of wind power capacity expansion on the transient angle stability (TAS). Aiming at several typical dominant modes in Qinghai power system, which holds many new energy resources, the sensitivity of wind power capacity expansion in different locations to the TAS, as well as its key influence factors and feasible explanations, are explored. It may lay the foundation of the location optimization of wind power capacity expansion.

关键词： Stability criteria Wind power generation Power system stability Power grids Transient analysis Thermal stability Optimization

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DC operating circuit anomaly detection based on node voltage unsupervised time series 2

DC operating circuit anomaly detection based on node voltage...

引用

2nd International Conference on New Energy and Power Engineering, ICNEPE 2022

作者： Zhang, Shen Qi Yuan, Wei Yi, Ran Chen, Li State Grid NanTongPower Supply Company Jiangsu NanTong226000 China NARI Technology Nanjing Control Systems Co. Ltd Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

With the increase in power system load, the number of switch cabinets increases rapidly, and the accidents caused by DC operating circuits become more and more obvious. Abnormal detection has become an important part of the DC operating circuit. Abnormal data, mainly voltage measurement, often contain important information. Finding and analyzing these abnormal data can give early warning for circuit failure or failure. However, abnormal data is often difficult to obtain and lacks marks, that is, the problem of sample imbalance and unsupervised problems, resulting in abnormal detection methods that can not meet the increasing accuracy and efficiency requirements. Generative adversarial network (GAN) is an unsupervised deep learning model, which has been successfully applied to unsupervised time series anomaly detection. However, GAN has technical difficulties in the anomaly detection process, and there is still room for optimization in accuracy. In this paper, the unsupervised time series anomaly detection method based on GAN is studied, and an anomaly detection method of a DC operating circuit combined with LSTM and GAN is designed. © Published under licence by IOP Publishing Ltd.

关键词： Generative adversarial networks

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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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A quantitative evaluation method for the performance of primary frequency regulation of system resources

A quantitative evaluation method for the performance of prim...

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7th International Conference on Electronics Technology, ICET 2024

作者： Xuelian, Wu Fusuo, Liu Hui, Huang Hongli, Zhang Wei, Li Nari Group Corporation State Grid Electric Power Research Institute Power Grid Analysis and Consulting Department Nanjing China Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and control Nanjing China

ISBN: (纸本)9798350363951

With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the foundation for frequency stability coordination and optimization control, it is necessary to use reasonable quantitative evaluation indicators for primary frequency regulation performance. Firstly, the dynamic response characteristics of frequency modulation resources in load fluctuation scenarios and large power disturbance scenarios are analyzed separately. Then, by mastering the frequency response characteristics of the system considering primary frequency regulation in different scenarios, the key factors affecting the safety and stability characteristics of the system frequency are determined. Finally, a quantitative evaluation method for the primary frequency regulation performance of frequency modulation resources is proposed, and the applicability of the proposed evaluation method is verified based on typical scenario examples. © 2024 IEEE.

关键词： Frequency stability

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Evaluation Methods for the Degree of Interaction and Coupling between New Energy and DC

Evaluation Methods for the Degree of Interaction and Couplin...

引用

7th International Conference on Electronics Technology, ICET 2024

作者： Xuelian, Wu Fusuo, Liu Zhaowei, Li Hongli, Zhang Yening, Lai Nari Group Corporation State grid electric power research institute Power Grid Analysis and Consulting Department Nanjing China Nari Group Corporation State grid electric power research institute State Key Laboratory of Smart Grid Protection and control Nanjing China

ISBN: (纸本)9798350363951

The high proportion of new energy connected to multi-infeed direct current power system may cause large-scale new energy to enter low voltage ride-through and multiple DC commutation failures under severe grounding faults, and the interactive coupling effect may affect the subsequent recovery process. In response to this phenomenon, interactive indicators are proposed to evaluate the risk of simultaneous faults between DC and new energy during grounding faults, as well as coupling indicators to evaluate the risk of secondary faults during the recovery process of DC and new energy after grounding faults are cleared. Simulation analysis based on actual power grids shows that this indicator can evaluate the interactive coupling process between new energy low voltage ride-through and DC commutation failure intuitively. © 2024 IEEE.

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Research and Application of Data on Demand Penetration Retrieval Based on DL/T860CMS Standard 8

Research and Application of Data on Demand Penetration Retri...

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8th International Conference on Energy System, Electricity, and Power, ESEP 2023

作者： Zeng, Jincheng Tan, Zhijun He, Mingyi Tian, Hui Gong, Shaoqi Wu, Yongyi Nari Group Corporation State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

To address the continuous growth of equipment scale and the number of measurement points in autonomous and controllable intelligent substations, while existing data collection strategies, equipment modeling methods, and data transmission dimensions cannot meet the requirements of panoramic monitoring and deep data mining analysis for the new-generation of substation centralized monitoring system, this paper proposes a data penetration and retrieval method based on DL/T860 CMS standard. This article introduces the background and technical advantages of the DL/T860 CMS standard, as well as the overall process of on-demand access. It also designs the overall architecture, and discusses in detail the key technologies involved in file access, dynamic dataset access, and remote process *** application results of on-site operation of multiple centralized control systems in Jiangsu, Shandong, Anhui, and other provinces show that on-demand penetration and retrieval services provide reliable technical support for centralized monitoring of substations, effectively improving the monitoring level of the centralized control system regarding the primary and auxiliary equipment of the substation. © 2024 SPIE.

关键词： Data mining

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Smart substation network quality monitoring and fault prediction

Smart substation network quality monitoring and fault predic...

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2021 International Conference on Power Electronics and Power Transmission, ICPEPT 2021

作者： Li, Chao Peng, Qi Wang, Dehui Luo, Linglu Zuo, Huanhuan NARI Group Corporation State Grid Electric Power Research Institute Nanjing211006 China NARI Technology Co. Ltd. Nanjing211006 China State Key Laboratory of Smart Grid Protection and Control Nanjing210061 China

The smart substation communication network is the basis for information sharing of various devices in the substation. Its operation status has an important impact on the safe operation of the substation and even the power grid. Therefore, real-time status monitoring of the smart substation communication network is becoming more and more important. Aiming at the problems of single dimension, insufficient real-time performance and manual fault analysis in existing substation communication network state monitoring technology, this paper proposes a method of smart substation communication network state monitoring and fault prediction based on network communication quality. This paper uses switch ACL technology and coloring technology to obtain communication quality indexes such as bandwidth utilization, delay, and packet loss rate in real time;based on a multi-dimensional evaluation algorithm, a comprehensive evaluation model of network communication quality is constructed;the model of the relationship between abnormal network communication quality and failures is established. Finally, real-time monitoring of network communication quality and fault prediction are realized. The application analysis in a typical 110 kV substation shows that this method can effectively evaluate the network communication quality and accurately predict failures, and can guide operationer and maintenaner to quickly restore the normal operation of the communication network. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Telecommunication networks

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