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Corrigendum to“Research on DC protection Strategy in Multi-Terminal Hybrid HVDC System”[Engineering 7(2021)1064-1075]

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Engineering 2022年第3期8卷 183-183页

作者： Yuping Zheng Jiawei He Bin Li Tonghua Wu 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

This work was supported by the Headquarter Science and Technology Project of State grid Corporation of China(Research on the transient protection for AC/DC hybrid grid with high-proportion renewable energy,SGAH0000TKJ... 详细信息

关键词： Strategy transient funding

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Leakage Flux-Based Method to Identify the Inrush Current in Transformers

Leakage Flux-Based Method to Identify the Inrush Current in ...

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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Zheng Yu-Ping Zhang Zhen-Ya Wu Chong-Hao Pan Shu-Yan Zhou Li State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)NARI Technology Co. Ltd. Nanjing China

ISBN: (数字)9781728170817

ISBN: (纸本)9781728170824

Inrush current occurrence in the power transformers is an unavoidable event that can happen due to energizing no-load transformer. Although various protection methods based on the terminal current and/or voltage have been proposed for transformer protection, the protection malfunction caused by the inrush current still occurs occasionally. In this paper, By comparing different closing angles of transformers with normal condition and differences in leakage flux near the yoke, a simple and accurate method is presented to identify transformer inrush current conditions. The change of the flux density on the leakage flux sensor can effectively identify the transformer inrush current. This identification method has been initially verified in the simulation in Maxwell.

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Permanent Magnet Biased Axial-radial Magnetic Bearing Design Based on the Accurate Magnetic Circuit

Permanent Magnet Biased Axial-radial Magnetic Bearing Design...

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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Shaoliang Zhou Min Zhang Jian Shen Bo Wang Xing Zhao Weinong Fu State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Co. Ltd Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Co. Ltd Nanjing China School of Electrical Engineering Southeast University Nanjing China The Hong Kong Polytechnic University Hong Kong

ISBN: (数字)9781728188904

ISBN: (纸本)9781728188911

Permanent magnet biased axial-radial magnetic bearing (ARMB) can realize axial and radial suspension simultaneously. It has a compact configuration with the volume and weight reduced. However, its magnetic field distribution is quite complicated, its bias and control magnetic field are coupled. In order to design the magnetic bearing accurately, this paper divides the leakage and soft magnetic material routes according to the 2D FE simulation, establishes the accurate magnetic circuit including the leakage and soft magnetic material reluctance. The circuit can be used to observe the flux distribution in each route, verify and regulate the magnetic bearing structure parameter, so the FE computation efforts of the basic structure parameter are significantly reduced. An experimental sample was designed, 3D FE simulation and experiments were processed to test the prototype. The results confirm that the design method is reasonable and correct.

关键词： Prototypes Iron Permanent magnets Soft magnetic materials Integrated circuit modeling Magnetic circuits Magnetic levitation

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Research on the Structure Optimization of grid Frame Based on Generalized Slow Coherency Clustering

Research on the Structure Optimization of Grid Frame Based o...

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Weiqiang, Liang Fei, Tang Mengqi, Qing Chufei, Xiao Wen, Jian Mengjiao, Qing Jiale, Liu Feifei, Wang Fusuo, Liu School of Electrical Engineering and Automation Wuhan University Wuhan China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing211006 China

ISBN: (纸本)9781728135205

Considering that the existence of fuzzy nodes will increase the difficulty of clustering when the system splitting occurs, a method is proposed to change the network topology, reduce the number of fuzzy nodes, and optimize the system operation. Firstly, we can obtain the modal matrix of all system nodes based on the generalized eigenvalue analysis. Secondly, Gauss elimination with pivoting is used to construct the slow coherence correlation matrix. Thirdly, the optimal scheme is obtained by continuously modifying the grid structure. It can reduce the number of fuzzy nodes, which is more convenient to maintain the stable operation of the system. Finally, the simulation results of IEEE-118 system show that the proposed method is reasonable and effective. © 2019 IEEE.

关键词： Network topology

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Hybrid HVDC system parameters tuning based on Robust Multi-Objective Optimization via Evolutionary Algorithms

Hybrid HVDC system parameters tuning based on Robust Multi-O...

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Yang, Jia Yang, Hongtao Wei, Fenqing Li, Weiliang Liu, Qipu Sun, Guoqiang State Key Laboratory of Smart Grid Protection Control NARI Group Corporation State Grid Electric Research Institute Nanjing China College of Energy Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9781728135205

The hybrid HVDC transmission system combines the advantages of the line commutated convertor (LCC) and the voltage source converter (VSC) which has great development prospect. Given the uncertainty and complexity in parameters tuning of control modules, this paper introduces a novel robust Multi-Objective Optimization via Evolutionary Algorithms (RMOEA). By searching pareto optimal solutions and robust solutions separately, each region's convergency and diversity performance under perturbance are enhanced appreciably. The improved RMOEA is used to optimize the PI parameters in the rectifier side controller and the inverter side dq axis decoupled dual-loop controller simultaneously. The simulation is implemented jointly by MATLAB and PSCAD software and the experiments results show that compared with the other optimization algorithm, the proposed RMOEA verifies the effectivity of improvements on robustness under the disturbances and tracking ability of preference. © 2019 IEEE.

关键词： Multiobjective optimization

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Power Flow Optimization of Intelligent Distribution Network with Distributed Energy Resources

Power Flow Optimization of Intelligent Distribution Network ...

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Gu, Xuenan Xu, Xi Yu, Zhipeng Huang, Sujuan Lu, Bin NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Protection and Control China Southeast University Nanjing China

ISBN: (纸本)9781728135205

With the increasing penetration of distributed energy resources in distribution network, it is necessary to strengthen the research on optimal power flow control of intelligent distribution network. Aiming at the characteristics of distributed energy resources decentralized access in intelligent distribution network, a zonal collaborative control structure of intelligent distribution network based on multi-agent system (MAS) theory is designed. An optimal power flow model of the intelligent distribution network is established, which aims at minimizing the cost of power consumers, voltage deviation and power losses. The intelligent single particle algorithm is used to optimize power flow in the intelligent distribution network. The distribution system of the intelligent distribution network laboratory is analyzed to verify the effectiveness of the model and the algorithm. © 2019 IEEE.

关键词： Multi agent systems

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Influence of Generator-tripping Time on Transient Stability

Influence of Generator-tripping Time on Transient Stability

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Xue, Yusheng Zhu, Xueqiong Li, Ze NARI Group Corporation State Grid Electric Power Research Institute China State Key Laboratory of Smart Grid Protection and Control Nanjing China School of Electrical Engineering Southeast University Nanjing China

ISBN: (纸本)9781728135205

Study the influence of generator-tripping time on transient stability is of great significance for guiding the setting of the optimal generator-tripping time. Based on the extended equal area criterion (EEAC), the paper points out that the generator-tripping operation affects transient power angle stability margin of the system by changing the equivalent electromagnetic power, the equivalent mapping rotor angle and its corresponding energy accumulation interval, and clarifies accordingly the paths of generator-tripping time affects transient power angle stability margin. For the first swing of angle instability of the Hamiltonian system, the complex influences of generator-tripping time on the control effect are revealed. As generator-tripping time increases, the transient power angle stability margin may present an evolution situation that first increases and then decreases, and reaches a maximum value when generator-tripping time equals to the fault clearing time, and may also present decreases monotonically. The analysis conclusions are verified by simulation experiments. © 2019 IEEE.

关键词： Transients

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Research on Coordinated control of Photovoltaic System Based on VSC-HVDC

Research on Coordinated Control of Photovoltaic System Based...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Di Wu Tonghua Wu Xindong Li Hongbin Wu Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

The combination of photovoltaic (PV) power generation and voltage source converter-based high voltage direct current (VSC-HVDC) system is one of the development directions of new energy power generation and its power transmission in the future. Power grid failure or maintenance will lead to power outage. In order to reduce the economic loss caused by this, the PV-VSC-HVDC coordinated control system is used to continuously supply power to loads in island state to maintain its normal operation. By analyzing the mechanism and cause of the islanding effect, a coordinated control strategy suitable to PV-VSC-HVDC system is proposed. Finally, a PV-VSC-HVDC grid-connected system was built based on Matlab/Simulink, and a detailed simulation analysis of the operating characteristics of the system is made. The simulation results show that this control strategy can realize the smooth switch from grid-connected state to island state, ensuring the stable operation of the loads and reducing the economic loss caused by power failure.

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Rule Extraction-based Data Augmentation Method for Transient Instability Identification of Power Systems Using Machine Learning

Rule Extraction-based Data Augmentation Method for Transient...

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2019 IEEE Sustainable Power and Energy Conference, iSPEC 2019

作者： Zhou, Yanzhen Guo, Jian Guo, Qinglai Sun, Hongbin Lu, Yaohua Xu, Xiongfeng Tsinghua University Department of Electrical Engineering Beijing China Power Research Institute Nari Group Corporation State Grid Electric Jiangsu China State Key Laboratory of Smart Grid Protection and Control Jiangsu China

ISBN: (纸本)9781728149301

Machine learning methods have become a promising method for rapid identification of transient stability and unstable generators of power systems. However, the transient unstable instances are always fewer than stable instances, which brings difficulties of transient instability identification. This paper presents a data augmentation approach to increase the number of unstable instances. Firstly, original data will be generated by time domain simulation considering the randomness and limitations of power systems. Then, the patient rule induction space (Prism) method is used to obtain the unstable rule set from the training data. After that, new instances can be generated by the unstable rules and time domain simulation. Then, the machine learning method is used to generate the transient stability prediction model and unstable generator identification model based these two kinds of instances. All the generated instances can be verified by time domain simulation. Comprehensive studies are conducted on the New England 10-machine 39-bus system to verify the effectiveness of the proposed approach. © 2019 IEEE.

关键词： Transients

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Fundamental Characteristics and Four-tier Residential Customer Energy Consumption Behavior Model

Fundamental Characteristics and Four-tier Residential Custom...

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smart grids and Energy Systems (SGES), International Conference on

作者： Jianmin Zhang Yusheng Xue Fushuan Wen Ping Luo Junteng Luo Yukuan Wang School of Automation Hangzhou Dianzi University Hangzhou China State Key Laboratory on Smart Grid Protection and Control Nanjing China College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (数字)9781728185507

The big obstacle for residential energy transition is the lack of a consumption behavior model. At first, special characteristics of residential customer are discussed, including their fundamental purpose of energy use and attitudes against constraints and energy prices, as well as derived demand characteristics on appliance in energy consumption, etc. Then, a four-tier energy consumption behavior model of residential customers is developed with “virtual appliance” being generalized into three time scales as current, near future, future, and the behavior evolution process is sectionalized into cognition, consciousness, demand and behavior. The methodology and technology to implement the four-tier model in real applications will be dominated by the emerging cyber physical social system in energy, and a customized questionnaire survey system is demanded to investigate the consumption behaviors of residential customers.

关键词： Economics Energy consumption Home appliances Production Cognition smart grids Object recognition

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