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Electrical Engineering and control Technologies (CEECT), Conference on

作者： Hao Jiang Lixiong Xu Xiaodan Cui Jialong Wu Jiaqi Feng Zixuan Zheng School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

An accurate wind farm model is a crucial prerequisite to ensure that the simulation results of the power system containing wind power align with reality. Hence, it is imperative to establish a system for evaluating the accuracy of wind farm models. This paper examines the fault response characteristics of wind turbines and proposes a multi-dimensional quantitative index system for assessing the equivalency of wind farm models. The entire process can be segmented into two stages: the transient period immediately following the fault occurrence and the subsequent steady-state phase. The evaluation indexes for assessing the accuracy of wind farm models are voltage dynamic response, active power dynamic response, and reactive power dynamic response. These indexes are formulated to evaluate the equivalency of wind farm models across various stages.

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Frequency Model of Generator Considering Thermal Constraint and AGC Regulation

Frequency Model of Generator Considering Thermal Constraint ...

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IEEE General Meeting Power& Energy Society

作者： Qian Chen Na Qiu Xin Shan Yuqing Jin Lixia Sun Yiping Yu Chuan Qin College of Energy and Electrical Energy Hohai University Nanjing China NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

In this paper, a novel equivalent model considering the thermal constraint and AGC regulation is proposed for analyzing the frequency of thermal units. The UHVDC converter station blocking is very sensitive to frequency fluctuations in a bulk power system, so an accurate and easy-to-use model is much desired for the operation decision and control design. Firstly, actual output characteristics of the thermal unit are presented. Secondly, the structure of an equivalent frequency model is put forward to describe these characteristics. Thirdly, the scheme of estimating model parameters is offered to ensure to make the responses fit with the measured data. Fourthly, CEPRI-36 system is adopted to verify the proposed model. Finally, simulation precise is manifested by an actual case in East China Power grid. The proposed model shows significant advantages on high accuracy and clear mechanism. In addition, the main feature of governor and generator is reserved, which is sufficient for analyzing the impacts of system disturbances on the frequency. Considering the increasing installation of UHVDC in power systems, this novel model is extremely beneficial to situational awareness and control decision in operation rooms.

关键词： Automatic generation control Generators Regulation Power grids Data models Thermal analysis Safety

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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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Digital Management and Application Platform for Security and Stability control Devices

Digital Management and Application Platform for Security and...

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Power and Energy (PandaFPE), Panda Forum on

作者： Fengjie Shen Jianbing Xu Yuqiang Hou Kang Zhao State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China State Grid Shandong Electric Power Research Institute Jinan China

The management of massive security and stability control devices (SSCD) configured for power grids is relatively decentralized, and there is an urgent need for refinement and intensification. Focusing on the purpose of improving the reliability level of SSCD, and referring to the power grid digitization work plan, this paper constructs a digital management and application platform for SSCDs based on “running on the cloud platform+localization”. First, it introduces the platform positioning and overall framework, and then elaborates the business functions such as device management, version management, test management, evaluation and decision-making. This achieves digital management and reliability test evaluation of mass SSCDs, also improves the reliability level of SSCDs. Finally, illustrates the actual application effect of this platform in a laboratory.

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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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Design and implementation of lightweight manmachine terminal screen interactive client 4

Design and implementation of lightweight manmachine terminal...

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4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020

作者： Lv, Zhimeng Que, Lingyan Fang, Caishen Wang, Xingzhi He, Yuan Huang, Kun 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 China 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: (纸本)9781728196060

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. © 2020 IEEE.

关键词： Automation

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A Flow-Guided Anomaly Detection Method For Substation Equipment in Changing Scenarios

A Flow-Guided Anomaly Detection Method For Substation Equipm...

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Chinese Automation Congress (CAC)

作者： Qingwei Zhang Jing Wang Peng Wang Wenhao Zhou Yingxuan Li Chunhui Zhao State Key Laboratory of Smart Grid Protection and Control NARI Technology Development Company Limited Nanjing China Stale Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

The anomaly detection for substation equipment is of great significance to maintain the safe operation of substations. With the development of deep learning, many anomaly detection methods based on deep convolutional neural networks (CNN) have been proposed. However, the challenge lies in the diversity of the environment and the variety of anomaly types in the substation. This paper proposes a Flow- Guided Anomaly Detection Method, which contains a data augmentation module and a flow-guided feature fusion module. The data augmentation module utilizes CycleGAN to transfer the style of the images to adapt to changing scenarios, such as different illumination and season conditions. The flow-guided feature fusion module extracts the optical flow between the test image and the template image by a pre-trained FlowNet, which represents the change information between the image pair and is universal for different anomaly types. Then the appearance information and change information of the image are aggregated to obtain the fused feature, which contains more semantic information. Finally, the fused feature is utilized to accurately detect a wider range of abnormal types. Experiments show that our proposed method has superior performance in anomaly detection for substation equipment and is more robust to changing scenarios.

关键词： Deep learning Adaptation models Substations Fuses Semantics Lighting Feature extraction

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A Fault Ride-Through Method of Paralleled Synchronous and Virtual Synchronous Generators in Islanded Microgrids

A Fault Ride-Through Method of Paralleled Synchronous and Vi...

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

作者： Yanfei Ru Feng Zhao Zhangtao Jin State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China College of Electrical and Information Engineering Hunan University Changsha China

ISBN: (纸本)9781665434263

With the development of distributed power generation technologies, parallel operations of virtual synchronous generators (VSGs) and synchronous generators (SGs) become increasingly common in a microgrid. Due to the low overcurrent capacity of VSGs, fault ride-through (FRT) is necessary for microgrids, which makes the transient stability of SG-VSG-based microgrids be different from the traditional power system. In this paper, a new abnormal overcurrent phenomenon caused by FRT is discovered in SG-VSG-based islanded microgrids. Then, characteristics of the output current of the VSG which uses different parameters are compared and analyzed. Furthermore, an optimized FRT method is proposed, which suppresses the abnormal overcurrent. Finally, a simulation is performed to verify the effectiveness of the proposed method on the PSCAD/EMTDC.

关键词： Microgrids System integration Switches Power system stability Synchronous generators Inverters Stability analysis

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Remaining Useful Life Prognosis of Power Semiconductor Devices Based on On-state Resistance Time Series Data and Deep Learning 7

Remaining Useful Life Prognosis of Power Semiconductor Devic...

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7th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2023

作者： Zhang, Xiaolong Zheng, Lin Tian, Heng Liu, Li Ma, Qun Wang, Huafeng Gao, Chong State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China Beijing Kedong Power Control System Co. Ltd. Beijing China State Grid Electric Power Research Institute Co. Ltd. Nanjing China State Grid Zhoushan Power Supply Company Zhoushan China

ISBN: (纸本)9798350382877

Power semiconductor devices are the essential core components of modern power electronic equipment. Predicting the remaining useful life (RUL) of power semiconductor devices can help formulate reasonable maintenance strategies for power electronic equipment, thereby improving the availability of energy conversion systems. This article proposes a deep learning method for predicting the RUL of power semiconductor devices, which uses on-state resistance as a critical state parameter. A long short-term memory (LSTM) neural network (NN) model and a convolutional neural network (CNN) model are used to predict the on-state resistance time series data trend. NN models can predict a short section of future data with past data input. The RUL of power semiconductor devices is estimated through curve fitting based on past and predictive data. The proposed method is validated using the power MOSFET accelerated aging dataset from NASA, and the validation results show that the performance of the proposed method is superior to that of existing methods, such as extended Kalman filtering (EKF) and particle filtering (PF). © 2023 IEEE.

关键词： Forecasting

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Deep Integration and Learning of Measurement Data in Active Distribution Power Networks for Load Flow Estimation Considering Incomplete Information 6

Deep Integration and Learning of Measurement Data in Active ...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Diao, Ruisheng Zhou, Aihua Zeng, Ruiyuan Wang, Anqi Shen, Xiaofeng Shun, Jingde Gu, Hua ZJU-UIUC Institute Zhejiang University State Key Laboratory of Clean Energy Utilization Zhejiang Haining314400 China State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China ZJU-UIUC Institute Zhejiang University Haining China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9798350346671

To reach the goals of carbon peaking by 2030 and carbon neutrality by 2060 in China, a growing penetration of PV generation is integrated into the modern distribution power grid, causing challenges in operating the grid to meet security requirements due to the increased dynamics and stochastics. A deep neural network (DNN)-based method is proposed in this paper for estimating load flow solutions in active distribution power networks that typically suffer from incomplete measurements. Adaptive DNN models are trained from massive historical observations obtained from actual measurements or high-fidelity simulations, whose hyperparameters are tuned automatically. Comprehensive case studies are conducted on the IEEE 123-node feeder model with renewable generation considering various levels of missing information as inputs, which validate the effectiveness and robustness of the proposed method. © 2023 IEEE.

关键词： Electric power distribution

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