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2nd International Conference on Electrical Engineering and Computer Technology, ICEECT 2022

作者： Wan, Zhonghui Liu, Fusuo Wu, Xuelian State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing210003 China NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing210003 China

The grid structure of the modern power system is complex and the space span is large. When the power system is disturbed to generate unbalanced power, the transient distribution process among the various synchronous units leads to the spatiotemporal distribution characteristics of the frequency response of the system. By measuring the generator Frequency and Inertia, the inertia center frequency can be calculated. Based on the two-generator system, the relationship between generator frequency and bus frequency is analyzed. A method for selecting the frequency inertia center node of the local power grid in the power system is proposed, and the inertia center frequency of the system is estimated based on the measured frequency at this point. Taking 10 machines and 39 nodes as an example, the simulation calculation is carried out to verify the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Frequency response

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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...

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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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Parallel Decomposition and Coordination Algorithm for Security Constrained Optimal Power Flow 1

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Xiaoqin, Xia Wei, Xu Zhen, Yuan Xiaotong, Xu NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

In order to improve the online performance of power system control decision-making, this paper proposes a method to resolve the economic optimization problem considering security constraints into a base-case optimal power flow master problem with the objective of minimizing the generation cost and a series of security check sub problems relevant to various faults. A parallel decomposition and coordination algorithm based on adjustable space slices is proposed to avoid alternating iterations. First of all, the adjustable space is sliced to form multiple slicing schemes according to different proportions. Based on the parallel computing platform and the slicing schemes, the primal dual interior point method is used to solve the base-case optimal power flow master problem. Secondly, security check of faults is carried out by parallel computing for different optimized cases. Then, the solution with the minimum cost is chosen from the safe solutions. Finally, the effectiveness of the proposed method is verified by a case of a city power gird in Guizhou province. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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Deep neural network based acoustic pattern recognition system for fault localization application

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Applied Mathematics and Nonlinear Sciences 2024年第1期9卷

作者： Cui, Yao Huang, Xin Zhang, Xin Nari Group Corporation State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

This paper explores the process of traditional voiceprint recognition, analyzes the traditional GMM recognition algorithm, and proposes a GE2E-based voiceprint recognition algorithm by combining it with the deep neural network. It firstly uses the Bi-GRU network to replace the LSTM network to prevent the lack of semantic information, then adds the SGD algorithm to optimize the speech features, and finally improves the stability and accuracy of recognition by the GE2E loss function. On this basis, a voiceprint recognition system based on GE2E is designed, and the overall performance of the system is tested. Additionally, a voiceprint recognition system is being explored for fault localization. The results show that the recognition accuracy of male voiceprints in the test is at [0.89,0.95], and the recognition accuracy of female voiceprints is at [0.88,0.96], and there is not much difference in the voiceprint recognition accuracy of the voiceprint recognition system for both male and female students, and the overall recognition accuracy is greater than 0.9. When applied in fault location, the error between the measured distance and the actual fault distance is within 0.1 meters, enabling fault location. © 2023 Yao Cui, Xin Huang and Xin Zhang, published by Sciendo.

关键词： Deep neural networks

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Identification Methods for Transformer Turn-to-Turn Faults and Inrush Current Based on Electrical Information

Identification Methods for Transformer Turn-to-Turn Faults a...

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2021 International Conference on Intelligent Power and Systems, ICIPS 2021

作者： Gong, Xinyi Zheng, Yuping Pan, Shuyan Wu, Chonghao Deng, Jinzhao NARI Research Institute NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control China

Power transformer is the most imperative and crucial equipment in electrical power system. Accurately monitoring the occurrence of transformer faults and rapidly isolating the faults are of great significance to ensure the reliability of power supply and avoid serious damage to the transformer. There are many methods used in the transformer to monitor transformer running state. This paper provides a comprehensive overview of transformer turn-to-turn fault and inrush current identification methods based on electrical information, and expounds the systematic research content that needs to be carried out for transformer turn-to-turn fault identification methods based on magnetic flux leakage information. © Published under licence by IOP Publishing Ltd.

关键词： Power transformers

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Research on DC protection Strategy in Multi-Terminal Hybrid HVDC System

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Engineering 2021年第8期7卷 1064-1075页

作者： Yuping Zheng Jiawei He Bin Li Tonghua Wua Wei Dai Ye Li State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute(NARI Group Corporation)Nanjing 211106China Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China

Multi-terminal hybrid high-voltage direct current(HVDC)systems have been developed quickly in recent years in power transmission ***,for voltage-source converter(VSC)stations in hybrid HVDC systems,no direct current(DC)filters are *** addition,the DC reactor is also not installed at the line end because the DC fault can be limited by the converter *** means that the boundary element at the line end is absent,and the single-ended protections used in line commutated converter(LCC)based HVDC(LCC-HVDC)systems or VSC-HVDC systems cannot distinguish the fault line in multi-terminal hybrid HVDC *** paper proposes a novel singleended DC protection strategy suitable for the multi-terminal hybrid HVDC system,which mainly applies the transient information and active injection concept to detect and distinguish the fault *** with the single-ended protections used in LCC-HVDC and VSC-HVDC systems,the proposed protection strategy is not dependent on the line boundary element and is thus suitable for the multiterminal hybrid HVDC *** corresponding simulation cases based on power systems computer aided design(PSCAD)/electromagnetic transients including DC(EMTDC)are carried out to verify the superiority of the proposed protection.

关键词： Multi-terminal hybrid HVDC system Single-ended protection Transient information Active injection

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Empirical Study of the Influence of AC/DC Touch Fault on Transformer Differential protection 1

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2020

作者： Gu, Qiaogen Lv, Hang Zhang, Xiaoyu Cheng, Lulu Cheng, Xiao State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789811597466

ISBN: (纸本)9789811597459

In practical engineering, the cross and crossing of AC and DC lines are more common at present. The communication lines are complex, especially in the South. With many DC projects, the cross over phenomenon of AC and DC in the China Southern Power grid is more obvious. This paper is based on the practical PSCAD simulation model of Jin-Zhong converter station, built a simulation model of AC and DC concomitant systems, and selecte 220 kV and 500 kV communication systems as typical scenarios for analysis by simulation of metal touch faults outside the AC transformer protection range. According to the simulation waveform, The characteristic analysis results of transformer differential protection are given in the end. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Transformer protection

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Optimal Phase Switch Device Placement Scheme for Low Voltage Distribution Network Considering Load and Renewable Energy Uncertainty

Optimal Phase Switch Device Placement Scheme for Low Voltage...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Liang, Feng Ni, Jianfu Zhu, Hao Xiong, Qingsheng Yu, Zhuofei Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

With the increase of single-phase devices and loads in the power system, the three-phase unbalance problem of the low voltage distribution network is more serious. Besides, the intermittency and volatility of renewable energy increase system uncertainty. To address this issue, this paper proposes a phase switch device placement model for the low voltage distribution network with renewable energy sources. The proposed model combines network reconfiguration and phase switch device to mitigate the three-phase unbalance. Considering the uncertainty of loads and renewable energy output, the proposed model is formulated as a mixed integer linear programming model based on stochastic programming, which can be solved by general commercial solvers and find the global optimal solution. The effectiveness of the proposed model is validated on the IEEE 13 node test feeder. The results show that the proposed model can significantly mitigate the three-phase unbalance of low voltage distribution network. © 2022 IEEE.

关键词： Renewable energy resources

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A Cooperative Development Path in Distribution Networks with Distinct Ownership Based on System Dynamics

A Cooperative Development Path in Distribution Networks with...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Ni, Jianfu Liang, Feng Yu, Tianying Xiong, Qingsheng Zhu, Jinda Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

The system dynamics is an effective tool to study the internal evolution mechanism of a system. In this paper, a distinct ownership interaction causal loop diagram of the distribution network is established by sorting out the relationship chain between distributed PV, distributed gas units, distributed energy storage, distribution company and residents. The distinct ownership co-evolution model of distribution network is further established, and the boundary conditions of distributed power supply construction of distribution network are obtained by analyzing the distribution network test case. The effective path to achieve the dual carbon target is verified. © 2022 IEEE.

关键词： Electric power distribution

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Risk Assessment of Cyber Physical Power System considering Attack Model 5

Risk Assessment of Cyber Physical Power System considering A...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Li, Manli Xu, Haibo Xu, Jianbing Ding, Zhao Liu, Qitao Yin, Zhaoyang Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Southeast University Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The close coupling between cyber and physics makes malicious attacks seriously affect the security of power system. Firstly, this paper analyzes the possible attack scenarios, establishes the attack graph model, and proposes the calculation method of the attack probability. On this basis, combined with the security and stability control business, the impact on the power primary system is analyzed, and the risk assessment method of malicious attack is proposed. Finally, an example illustrates the improvement of cyber - physical analysis, and proves that cyber - physical analysis technology has a good application prospect. © 2022 IEEE.

关键词： Risk assessment

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