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

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Fast Fault protection Design and control of DC Trnasformer

Fast Fault Protection Design and Control of DC Trnasformer

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Wang, Guoning Wang, Zhigang Zeng, Xiaoming Wang, Yongwei Ge, Weimei State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation State Grid Electric Power Reasearch Insitute Nanjing China State Grid Xinyuan Company Shandong TaIshan Pumped Storage Power Station Co. Ltd Tai'an China

ISBN: (纸本)9781665414395

With the diversification of loads and the development of distributed energy, DC system and DC transformer attracted more and more attention in modern power system. However, bipolar short-circuit faults threatened the safety of DC power system operation due to the surge current caused by them. When DC transformer low voltage output has short circuit fault, it must block fault current quickly. This paper proposed a fault protection control method in DC transformer. Through the design and control, the fault current can be quickly blocked, and the fault current output can be maintained to support the rapid recovery of the system. After adding the fault protection circuit and control in DC transformer, the protection performance is greatly improved. Finally, the real-time simulation of RTDS verifies that the proposed short-circuit protection current-limiting control can well achieve the design goals. © 2021 IEEE.

关键词： DC transformers

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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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A Method for Measuring Capacitive Current in Arc Suppression Coil Grounding system 2

A Method for Measuring Capacitive Current in Arc Suppression...

引用

2022 2nd International Conference on Energy, Power and Advanced Thermodynamic systems, EPATS 2022

作者： Xia, Lei Wu, Hai Hu, Guo Hu, Song Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Technology Development Co. Ltd. Jiangsu Nanjing211106 China

With the rapid development of the national economy, the system cabling rate continues to improve, the system capacitive current continues to increase, and the arc suppression coil grounding method is more and more widely used. Among them, the pre adjustable turn adjustable arc suppression coil accounts for the highest proportion. How to accurately, quickly and real-time measure and calculate the capacitive current of the system is the foundation to realize the automatic tracking and compensation of the arc suppression coil, It is also the key to reliably extinguish the arc and reduce the influence range of the fault when the single-phase grounding fault occurs in the system. Based on the analysis of the variation law of the capacitive current in the distribution network neutral grounding system through the arc suppression coil, this paper proposes a new method for measuring the capacitive current based on the resonance point curve fitting, which is suitable for the pre adjustable turn adjustable arc suppression coil grounding system, and verifies its reliability and accuracy through simulation. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Curve fitting

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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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Optimal Scheduling of Thermoelectricity in Integrated Energy system Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio 6

Optimal Scheduling of Thermoelectricity in Integrated Energy...

引用

6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Yang, Dongmei Gao, Yu Wang, Qi Chen, Yan Guo, Yuchen Wang, Meng Nari Technology Co. Ltd. The State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China Nanjing Normal University School of Nari Electric and Automation Nanjing China

ISBN: (纸本)9798350347159

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the 'fixing electricity by heat' of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits. © 2022 IEEE.

关键词： Wind power

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A Top-k QoS-Optimal Service Composition Approach Under Dynamic Environment 7th

A Top-k QoS-Optimal Service Composition Approach Under Dynam...

引用

7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Tian, Cheng Zhang, Zhao Yang, Sha Huang, Shuxin Sun, Han Wang, Jing Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing211189 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nari Group Corporation Nanjing211106 China

ISBN: (纸本)9783030786083

To deal with low efficiency of existing Web service composition algorithms under dynamic environment, this paper proposes a Top-k QoS-optimal service composition algorithm based on QWSC-K static algorithm. The algorithm first considers the influence of dynamic environment on the existing service composition and service dependency graph, and classifies the changed services in dynamic environment. Moreover, different strategies are adopted to obtain the intermediate results of service composition for different categories of services. The influence of different service categories on the service dependency graph is analyzed to realize the updating of the service dependency graph. Finally, based on the updated service dependency graph and the intermediate results of the service composition, the adaptive incremental update can be applied to change the original service composition results, avoiding the time-consuming re-query process. Experiments show that the algorithm is efficient and accurate in dynamic environment. © 2021, Springer Nature Switzerland AG.

关键词： Quality of service

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network 26

Multi-Objective Optimization of Magnetic Parameters in Wirel...

引用

26th International Conference on Electrical Machines and systems, ICEMS 2023

作者： Lan, Yu Jiang, Jinhai Song, Kai Yang, Fengshuo Sang, Lin Wang, Ke Zhang, Zhenjun Zhang, Xuan Li, Xuling Harbin Institute of Technology School of Electrical Energineering and Automation Harbin China Nari Technology CO. LTD. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350317589

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler's design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%. © 2023 IEEE.

关键词： Multiobjective optimization

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Tracking Status for Hardware-in-the-Loop Simulation Using RTDS

Tracking Status for Hardware-in-the-Loop Simulation Using RT...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Liu, Qitao Hou, Yuqiang Xu, Jianbing Liu, Yongkang Nari Technology Co. Ltd Nanjing211106 China Nari Group Corporation State Grid Electric Power Research Institute Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9781665414395

The power system becomes more complex, due to the high penetration of renewable energy and more electronic devices are integrated to the traditional grid. SSCS is the critical task for power grid operation to ensure the control reliability and effectivity. It is inevitable to improve verification experiment technology for SSCS considering the development trend of the power system. RTDS is a powerful simulator for power system which is able to reflects the practical power system operation in real time. In this paper, a method for status tracking of power system model in RTDS is developed that SSCS is able to be verified under multiple operation conditions. It is found that the status cannot be tracked consistently as given, due to the limitations of RTDS models and raw data. The limitation in tracking reactive power output of generators is overcame in this paper. Besides, the development trend of online stability analysis and control is discussed as well as SSCS verification experiment technology. © 2021 IEEE.

关键词： Hardware-in-the-loop simulation

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User Identification based on Behavior Feature Analysis 7

User Identification based on Behavior Feature Analysis

引用

7th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2023

作者： Dai, Yuwen Zhang, Peng Wu, Tianqi Wu, Hongbin Zhang, Daojuan Lv, Zhuo Chen, Cen State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Beijing China State Grid Henan Electric Power Research Institute State Grid Laboratory of Power Monitoring System Cyber Security Technical Standard Verification Beijing China

ISBN: (纸本)9798350382877

The issue of identity management and information security in cyberspace is becoming increasingly important, and the issue of how to effectively identify through user behavior urgently needs to be addressed. At present, biometric recognition technologies have certain limitations. This article combines deep learning methods and uses the BERT model to extract input text information features to generate word vectors. It uses a bidirectional GRU network with local and global attention mechanisms for training, and finally uses a softmax classifier to classify the user identity recognition model. The model in this article has significantly improved its performance in user identity recognition tasks based on behavioral features. © 2023 IEEE.

关键词： Deep learning

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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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