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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Chunlei Xu Tong Liu Baolong Lei Hui Peng State Grid Jiangsu Electric Power Co. Ltd. Nanjing China NARI Technology Co. Ltd. Xi’an China NARI Technology Co. Ltd. Nanjing China 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)9781728196060

ISBN: (纸本)9781728196077

In the integrated operation mode of the smart grid dispatching and control system, there is a large amount of real-time data such as important alarms and manual operations that need to be shared between systems. How to synchronize these real-time data across systems with high reliability and performance becomes a problem to be solved. This paper studies the application scenarios of cross-system message synchronization and proposes a scheme based on redundant dual networks, including hardware and software architecture. The key technologies and important functions were implemented, reliability and throughput verifications were performed, and the expected results were achieved.

关键词： control systems Throughput Dispatching Real-time systems smart grids Software reliability Synchronization

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Surface Charging Phenomena on HVDC Spacers for Compressed SF_(6) Insulation and Charge Tailoring Strategies

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CSEE Journal of Power and Energy Systems 2020年第1期6卷 83-99页

作者： Chuanyang Li Yuan Xu Chuanjie Lin Geng Chen Youping Tu Yao Zhou Zhipeng Lei Tao Han Simone Vincenzo Suraci Jian Wang Weidong Liu M.Tariq Nazir Shun He Andrea Cavallini Giovanni Mazzanti Davide Fabiani Jinliang He Electrical Insulation Research Center Institute of Materials ScienceElectrical and Computer EngineeringUniversity of ConnecticutStorrsCT 06269USA. China Electric Power Research Institute Beijing 100192China Department of Electrical Electronicand Information Engineering“Guglielmo Marconi”University of BolognaViale Risorgimento 2Bologna40136Italy State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Beijing Area Major Laboratory of High Voltage and Electromagnetic Compatibility North China Electric Power UniversityBeijing 102206China Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control National and Provincial Joint EngineeringTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Smart Grid of Education Ministry School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Mechanical and Manufacturing Engineering University of New South Wales SydneyNSW 2052Australia Electric Power Research Institute Yunnan Electric Power Grid Co.ltd.KunmingYunnan 650217China

Surface flashover of spacers is a key factor limiting the application of HVDC GIS/GIL,while the charge accumula-tion on the surface of the spacer could have a potential adverse effect on the surface flashover *** paper discusses the laws regarding distribution patterns of surface charges and the related *** field-dependent property is discussed in detail to comprehensively illustrate the charge transport mecha-nism and explain the research differences regarding different surface charge patterns obtained by previous *** addition,the main surface charge control methods for epoxy resin are summarized and *** potential research directions of charge control methods and key points in manufacturing of spacers used in HVDC GIS/GIL are also explored.

关键词： GIL HVDC insulator SF6 surface charge accumulation surface flashover

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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

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 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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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

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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Research on low/high voltage ride through of PV grid-connected system based on control-hardware-in-the-loop

Research on low/high voltage ride through of PV grid-connect...

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2019 Tsinghua International Doctoral Forum

作者： Li, Shuang Si, Gangquan Qu, Kai He, Guoqing State Key Laboratory of Electrical Insulation and Power Equipment Shaanxi Key Laboratory of Smart Grid School of Electrical Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Haidian District Beijing China

ISBN: (纸本)9781839533907

Fault ride-through capability is one of the important grid-connection indexes for large-scale generation of PV power and other renewable energy, which is of great significance for the safe and stable operation of the grid. In order to improve the fault ride-through capability of PV grid-connected inverter, a comprehensive control strategy of LVRT/HVRT of PV grid-connected inverter based on conventional control scheme is proposed in this paper. Meanwhile, the LVRT/HVRT test platform of PV grid-connected inverter was built by using the simulation technology of RT-LAB hardware-in-the-loop. Firstly, based on the eHS (electric hardware solver) technology of RT-LAB real-time simulation software, a set of PV grid-connected inverter semi-physical simulation system was built, mainly including PV simulator, PV inverter, filter circuit, three-phase controlled voltage source, etc. Then, according to the technical specification of PV grid-connected inverter, the fault ride-through control strategy of PV grid-connected inverter under the condition of voltage drop/rise symmetrically is proposed. Finally, the simulation tests of LVRT/HVRT were carried out on the simulation platform with the controller of PV inverter. Simulation results show that the proposed control strategy meets the grid-connected requirements during LVRT/HVRT. In addition, it has good dynamic and static characteristics. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Simulation platform

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Status evaluation of smart substation measurement and control device

Status evaluation of smart substation measurement and contro...

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第二届先进电子材料、计算机与材料工程国际学术会议（AEMCME 2019）

作者： Zhang Min Shen Jian Chen Li Zhou Bin Zhou Shao Liang Hou Zhe NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control NARI Technology Corporation Co. Ltd

In power system, measurement and control device plays an important role in maintaining an ideal level of reliability. Therefore, the reliability of the measurement and control device should be evaluated to fully understand the cause of its failure. A new evaluation model is proposed, which relates the fault of measurement and control system with the four main reasons of device hardware fault, software fault, auxiliary equipment fault and human fault. In addition, the model can also comprehensively consider other aspects of the measurement and control system, such as human error in testing and software upgrade, effectiveness of daily operation monitoring, degree of dependence on self-inspection, local backup and misoperation. These studies have a lot of significance to the reliability of the control system, and also can effectively improve the stability of the system.

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Tertiary regulation of cascaded run-of-the-river hydropower in the islanded renewable power system considering multi-timescale dynamics

arXiv

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arXiv 2020年

作者： Qiu, Yiwei Lin, Jin Liu, Feng Dai, Ningyi Song, Yonghua Chen, Gang Ding, Lijie State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China State Grid Sichuan Electric Power Research Institute Chengdu610000 China

To enable power supply in rural areas and to exploit clean energy, fully renewable power systems consisting of cascaded run-of-the-river hydropower and volatile energies such as pv and wind are built around the world. In islanded operation mode, the primary and secondary frequency control, i.e., hydro governors and automatic generation control (AGC), are responsible for the frequency stability. However, due to limited water storage capacity of run-of-the-river hydropower and river dynamics constraints, without coordination between the cascaded plants, the traditional AGC with fixed participation factors cannot fully exploit the adjustability of cascaded hydropower. When imbalances between the volatile energy and load occur, load shedding can be inevitable. To address this issue, this paper proposes a coordinated tertiary control approach by jointly considering power system dynamics and the river dynamics that couples the cascaded hydropower plants. The timescales of the power system and river dynamics are very different. To unify the multi-timescale dynamics to establish a model predictive controller that coordinates the cascaded plants, the relation between AGC parameters and turbine discharge over a time interval is approximated by a data-based second-order polynomial surrogate model. The cascaded plants are coordinated by optimising AGC participation factors in a receding-horizon manner, and load shedding is minimised. Simulation of a real-life system with real-time pv data collected on site shows the proposed method significantly reduces load loss under pv volatility. Copyright © 2020, The Authors. All rights reserved.

关键词： Electric load shedding

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smart substation network quality monitoring and fault prediction

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Journal of Physics: Conference Series 2021年第1期2108卷

作者： Chao Li Qi Peng Dehui Wang Linglu Luo Huanhuan Zuo NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211006 China NARI Technology Co. Ltd. Nanjing 211006 China State Key Laboratory of Smart Grid Protection and Control Nanjing 210061 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.

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Household Microgrid Interaction Technology Based on Power Router

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Energy Procedia 2019年 158卷 6452-6457页

作者： Dan Wang Xiran Ma Pengfei Su Bo Liu Wei Du Lin Wu Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Applied Energy UNiLAB:DEM (Distributed Energy and Microgrid) Tianjin China Qingdao Institute for Marine Technology of Tian University Qingdao China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

For urban residents, a family microgrid system with a household-use power router as the core is studied. This article introduces the control logic and operation mode of the household-type power router. According to the life scene, the interconnection model of three family-based microgrid and community public loads is established and simulated. The analysis results show that the family-based microgrid based on power routers can operate stably, and can ensure uninterrupted power supply to community public loads. It is an effective renewable energy utilization program.

关键词： power router family microgrid renewable energy

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Variational Autoencoder Based Fault Detection and Location Method for Power Distribution Network

Variational Autoencoder Based Fault Detection and Location M...

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International Conference on Condition Monitoring and Diagnosis, CMD

作者： Xuhong Wang Ping Cui Ying Du Yupu Yang The Ministry of Education Key Laboratory of System control and information processing Shanghai Jiao Tong University Shanghai China State Energy Smart Grid R&D Center Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728159317

ISBN: (纸本)9781728159324

With the rapid development of the world economy and the continuous improvement of people's living standards, users put forward higher requirements for the quality and reliability of the power system. As a representative of deep learning, variational autoencoders play an important role in processing high-dimensional big data. In this paper, a novel variational autoencoder based distribution network abnormal monitoring and positioning method is proposed. Through an indepth study of the variational autoencoder, we utilize the real-time dynamic distribution network status information provided by the wide-area measurement system, combined with the abilities of feature extracting and data reconstruction. Finally, the IEEE-33 simulation model was built in Matlab software and the experimental results were used to verify the correctness of this method. The results show that this method can quickly and accurately achieve the fault detection and location for the distribution network with strong robustness.

关键词： Fault detection Distribution networks Feature extraction Electrical fault detection Software Wide area measurements Standards

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