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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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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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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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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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Extended Engel-Kollat-Blackwell Consumption Behavior Model for Residential Customers

Extended Engel-Kollat-Blackwell Consumption Behavior Model f...

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

作者： Jianmin Zhang Yusheng Xue Fushuan Wen Dongming Liu Ping Luo Yang Li 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

ISBN: (纸本)9781665448505

Modeling the consumption behavior of residential customers is very important for investigating their potentials to participate in demand side management and retail market competition. The Engel-Kollat-Blackwell (EKB) model is well-known in consumption behavior modeling, however it is not directly applicable for modeling residential energy consumption, as explored in this paper. An extension of the EKB model is next developed to explain the behaviors of residential energy consumption, including derived demand characteristics, habit change process, behavior change process, internal feedback, external stimulus factors, and environment factors, and employed to implement a green information system so as to guide the residents in energy transition. A questionnaire survey information APP system on WeChat is implemented and the survey results briefly analyzed.

关键词： Energy consumption Social networking (online) Green buildings Message service Data models smart grids Information systems

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Study on the fault ride through control for AC-DC hybrid distribution network 16

Study on the fault ride through control for AC-DC hybrid dis...

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16th IET International Conference on AC and DC Power Transmission, ACDC 2020

作者： Zhou, Yongrong Lu, Yongcan Ge, Xuefeng Li, Dandong State Grid Electric Power Research Institute Co. Ltd. Jiangsu Province Nanjing China State Key Laboratory of Smart Grid Protection and Operational Control Jiangsu Province Nanjing China School of Power Electric Engineering Nanjing Institute of Technology Jiangsu Province Nanjing China Electric Power Research Institute State Grid Jiangsu Electric Power Co. Ltd Jiangsu Province Nanjing China

ISBN: (纸本)9781839533914

Fault ride through control is an important technology for an efficient operation of AC/DC hybrid distribution network with multiple distributed energies. In this paper, a fault ride through control with energy storage is proposed, in which extra super capacitors is installed on the dc side of the power electronic transformer. The coordinated control of the super capacitors is designed. Meanwhile, the volume calculation of super capacitor is discussed. Finally, a model is established in MATLAB/Simulink and simulations are carried out. The results verify that the low voltage ride through ability of AC/DC hybrid distribution network is enhanced, and the output voltage of the DC side is more stable, with the auxiliary super capacitor. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Energy storage

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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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Ensemble Machine Learning Identification of Power Fault Countermeasure Text Considering Word String TF-IDF Feature

Ensemble Machine Learning Identification of Power Fault Coun...

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

作者： Sun, Shaohua Dai, Zemei Xi, Xinkui Shan, Xin Wang, Bo NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Gird Protection and Control Nanjing211106 China Power Dispatching Automation State Grid Hebei Electric Power Co. Ltd. Shijiazhuang050022 China

ISBN: (纸本)9781538655139

A large amount of fault countermeasure texts are used to guide fault handing operations in power dispatching systems. This paper transforms the identification problem of fault countermeasure disposal text into a classification problem for identifying the content of text, understanding the meaning of text and building an intelligent power grid fault handling automation system. Firstly, the characteristics of fault countermeasure text are analyzed, and the text is preprocessed according to the characteristics and classification requirements. (Term Frequency-Inverse Document Frequency) TF-IDF is used to analyze and extract and vectorize the features of words and word strings in text, then concatenated feature vectors are used to vectorize the text. classification models are built based on a variety of machine learning methods. Examples show that the feature extraction method taking TF-IDF of word string into consideration is superior to word TF-IDF, and the classification effects of different machine learning methods are compared. The examples also show that the ensemble machine learning classification model has better classification effect than the single classifier, and can identify the text of fault countermeasure disposal more accurately and efficiently. © 2018 IEEE.

关键词： Inverse problems

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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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Power Fault Preplan Text Information Extraction Based on NLP

Power Fault Preplan Text Information Extraction Based on NLP

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

ISBN: (纸本)9781538655139

A large amount of texts recorded in Chinese exist in power grid enterprises. These texts contain abundant information of power system. Manually mining the text information is inefficient and the accuracy may vary with different dispatchers. In this paper, the power fault countermeasure text is taken as the object to study the power Chinese text information extraction method. Power texts are segmented firstly based on the nature language process (NLP), the ontology lexicon is established according to the power word attribute in the power fault countermeasure text;Based on the syntax structure characteristics of punctuations and the concept of separate parsing phrase are brought in to guide the division of long texts, which can separate the sentence with only one power entity and its related information;The syntax rule template applicable to the separate parsing phrase is established based on the meta-character templates (generalization slot, fixed word-combination, wildcard character, and registry function) used for the power fault preplan text information extraction and the structured output of that information;At last, the generalization ability and the universality of the template are analyzed. Examples show that the rule template applies to the information extraction of most texts with strong universality and high accuracy. © 2018 IEEE.

关键词： Syntactics

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