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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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Design and Implementation of Lightweight Manmachine Terminal Screen Interactive Client

Design and Implementation of Lightweight Manmachine Terminal...

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

作者： Zhimeng Lv Lingyan Que Caishen Fang Xingzhi Wang Yuan He Kun Huang NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd. Nanjing China State Grid Zhejiang Electric Power Co. Ltd. No.8 of Huanglong Road Xihu District Hangzhou China East-China Branch of State Grid Co. Ltd. No. 201 Nanjing East Road Huangpu District Shanghai NARI Group Corporation (State Grid Electric Power Research Institute) (National Key Laboratory of smart grid protection and operation control) NARI Technology Co. Ltd. Nanjing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

According to the characteristics of the “physical distribution and logical integration” of the new generation dispatching automation system, this paper designs a lightweight human-machine terminal display architecture. It also proposes the componentization of the screen and its rendering technology to realize the display of electrical primitives, chart primitives, and non-viewable primitives on lightweight man-machine terminals. Besides, this paper proposes the GIS visual display technology to meet the needs of geographic information display in the dispatch automation system and put forward the interaction technology of picture linkage to improve the interaction flexibility of picture components. Relevant research results have developed prototype system and applied in the field pilot.

关键词： Couplings Visualization Automation Prototypes Rendering (computer graphics) Man-machine systems Geographic information systems

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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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A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting

A hybrid model based on convolutional neural network and lon...

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IEEE Power and Energy Society General Meeting

作者： Jixiang LU Zhihong YANG Qipei ZHANG Mengfu TU Technology Research Center NARI Group Corporation Nanjing China State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China

To better mine the effective information contained in massive data and improve the accuracy of short-term load forecasting, this paper proposes a hybrid model based on convolutional neural network and long short-term memory network (CNN-LSTM) for short-term load forecasting (STLF), which takes massive historical load data, meteorological data, date information, and peak-valley electric price data as input by constructing continuous feature maps with time sliding window. Convolutional neural network (CNN) is used to extract features and reshape them into vectors. The feature vectors are constructed in temporal and fed into long short-term memory network (LSTM) which is used to predict STLF. To the best of our knowledge, this is the first work to predict STLF using deep learning in both spatial and temporal domains. It is shown that the forecasting accuracy can be notably improved by CNN-LSTM hybrid model method. The effectiveness of the proposed method is validated through extensive comparison studies on a real-world dataset.

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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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PWM rectifier impedance modelling and analysis

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Yiyuan Bie Yang Li Guoqing He Xing Zhang 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 710049 State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute (CEPRI) Beijing China

PWM rectifiers are widely used in the field of new energy power generation. The study of small signal impedance modeling of PWM rectifier is helpful to analyze the stability of new energy grid connected impedance. In this paper, the small-signal impedance model of the PWM rectifier is first established, and then the impedance model of the PWM rectifier is scanned through MATLAB using the impedance sweep method, and compared with the analytical expressions in this paper, the accuracy of the impedance model of PWM rectifier established in this paper is verified.

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The operation analysis of the CCHP driven by Gas-steam combined cycle

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IOP Conference Series: Earth and Environmental Science 2020年第5期558卷

作者： Junyu Liang Xingyu Yuan Jiangqi Gu Yunnan Electric Power Research Institute CSG China NARI Group Co. Ltd The State Key Laboratory of Smart Grid Protection and Operation Control

In combined cooling heating and power system, the gas-steam combined cycle is gradually used more and more. The common operation mode in CCHP is mainly to determine heat by electricity and heat by electricity. This paper defines an index indicator and analyzes the difference between the two operating modes in different intervals through the system energy supply interval chart, finally analyzes the difference in the indicators between the two operating modes through the actual load method. It is concluded that in winter operating conditions, the following the thermal load (FTL) operation mode is better; in summer operating conditions, the indicator of following the electric load (FEL) is better; during the transition season, the value of PEC is better in the case of following the thermal load.

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Analysis on Differential protection Sensitivity of Traction Transformers Based on Different Conversion Modes

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IOP Conference Series: Earth and Environmental Science 2020年第1期617卷

作者： Liu Xiaobao Zheng Yuping Long feng Wu Tonghua Pan Shuyan An Lin State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu 211106 China

With the rapid development of high-speed rail technology in China, the traction transformers of various types have been used more and more extensively. The differential protection of traction transformers has different differential conversion modes [1-2] which are different in their sensitivities. In this paper, taking the YNV traction transformer as an example, by comparing the sensitivities of two different common differential conversion modes and through analysis, it shows that the sensitivities of differential protection are slightly different. The sensitivities of differential protections based on different principles depend on the retention degree of differential current to the positive sequence, negative sequence and zero sequence components in the internal fault current. The sensitivity of phase current minus zero sequence differential is the highest when single-phase grounded, which completely retains all the sequence components in the internal fault current. The sensitivity of interphase differential protection is the highest when interphase fault occurs. The widely used phase current differential and phase current minus zero sequence differential do not reflect the zero-sequence component of internal fault current, which provides the basis for field fault analysis and setting.

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