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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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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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Corrections to “Decision Support System for Adaptive Restoration control of Transmission System”

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Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 1237-1237页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast University Nanjing China State Grid Electric Power Research Institute (NARI Group Corporation) Nanjing China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China School of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

In [1], the complete affiliation of Yusheng Xue is as follows: Y. Xue (corresponding author) is with the School of Electrical Engineering, Southeast University, Nanjing, China, and he is also with state grid Electric Power Research Institute (NARI Group Corporation), Nanjing, China, and state key laboratory of smart grid protection and Operation control, Nanjing, China.

关键词： Electrical engineering Adaptive systems control systems Power systems smart grids

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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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Impact of Microgrid Aggregator on Joint Energy and Reserve Market Based on Pure Strategy Nash Equilibrium

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Energy Procedia 2019年 159卷 142-147页

作者： Fan Liu Zhaohong Bie Jiangfeng Jiang Ke Wang State Key Laboratory of Electrical Insulation and Power Equipment Smart Grid Key Laboratory of Shaanxi Province Xi’an Jiaotong University Xi’an 710049 China China Southern Power Grid Dispatching Control Center Guangzhou 510663 China

With the coordination of various distributed energy resources, microgrid has the capability to participate energy and reserve market simultaneously via a microgrid aggregator (MGA). The profit-maximizing offering problem of MGA satisfying a pure strategy Nash equilibrium (NE) is modelled in the paper as a bi-level programming to analyze the impact of MGA on the market equilibrium. A linearization method for pure strategy NE conditions is proposed, and then the bi-level problem is equivalently transformed into a mixed integer linear programming (MILP) based on Karush-Kuhn-Tucher (KKT) conditions and strong duality theorem. Numerical results demonstrate the effectiveness of proposed method and present market NE prices are influenced by the scalability and location of integrated MGA.

关键词： Microgrid aggregator Joint energy reserve market Pure strategy Nash equilibrium Strategic offering Bi-level programming

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