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Research and Application of Configuration Animation Technology for Power grid Dispatching and control Systems Based on CIM/G 7th

Research and Application of Configuration Animation Technolo...

引用

7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Yan, Zhen Xu, Hua Lv, Zhimeng Yin, Xia Bao, Xiongwei Huang, Kun Nanjing211106 China NARI Technology Co. Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9789819900626

For the current traditional power grid dispatching and control system, the display effect of configuration software interface is ordinary, and the configuration interface is cumbersome. This paper presents a state animation technology of configuration software for power grid and control system. By defining multiple states in the configuration editor, modifying component attributes in different states, setting state switching animation types, associating the animation change functions of component attribute values in different states, saving in CIM/G format, and then opening the corresponding files through the browser, the component attributes can be dynamically transformed between attribute values in different states, Batch modification and animation of component attributes are realized, which enriches the display effect of the interface and improves the friendliness of human-computer interaction. © state grid Electric Power Research Institute 2023.

关键词： control systems

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Automatic Generation Method of Multi-Bays Graph in Power System based on Real-Time Topological Model

Automatic Generation Method of Multi-Bays Graph in Power Sys...

引用

2022 Global Conference on Robotics, Artificial Intelligence and Information Technology, GCRAIT 2022

作者： Gao, Yuan Chen, Lianjie Si, Peng Su, Yunguang Fang, Caishen Xu, Hua Huang, Kun NARI Technology Co Ltd. Nanjing China NARI Technology Co Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-Time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-Time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these features. Secondly, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff. © 2022 IEEE.

关键词： Data structures

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A Rapid Method to Configure Inspection Object for Substation Robot Based on Visual Equipment Detection and PTZ control Model 6th

A Rapid Method to Configure Inspection Object for Substation...

引用

6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Zhang, Qingwei Sun, Han Wang, Jing State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9789811671555

The configuration for substation robot inspection task includes the following steps: configuring inspection object, scanning map package, building wireless AP, establishing database, etc. Previous work mostly relies on the experience of staff to configure inspection object, which is a waste of manpower and material resources. Besides, configuration for each inspection object of substation robot manually is a time-consuming task, which leads to a decrease in the effectiveness and accuracy of robot because of artificial error. A rapid configuration method to configure inspection object for substation robot inspection task is proposed based on visual equipment detection and PTZ control model. It aims to grab the inspection object automatically without manual intervention. The efficacy of the proposed method is verified through experimental results of substation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inspection

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Research on the Structure Optimization of grid Frame Based on Generalized Slow Coherency Clustering

Research on the Structure Optimization of Grid Frame Based o...

引用

2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Weiqiang, Liang Fei, Tang Mengqi, Qing Chufei, Xiao Wen, Jian Mengjiao, Qing Jiale, Liu Feifei, Wang Fusuo, Liu School of Electrical Engineering and Automation Wuhan University Wuhan China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing211006 China

ISBN: (纸本)9781728135205

Considering that the existence of fuzzy nodes will increase the difficulty of clustering when the system splitting occurs, a method is proposed to change the network topology, reduce the number of fuzzy nodes, and optimize the system operation. Firstly, we can obtain the modal matrix of all system nodes based on the generalized eigenvalue analysis. Secondly, Gauss elimination with pivoting is used to construct the slow coherence correlation matrix. Thirdly, the optimal scheme is obtained by continuously modifying the grid structure. It can reduce the number of fuzzy nodes, which is more convenient to maintain the stable operation of the system. Finally, the simulation results of IEEE-118 system show that the proposed method is reasonable and effective. © 2019 IEEE.

关键词： Network topology

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Failure mode risk analysis of DC charger based on cloud model and TOPSIS 14

Failure mode risk analysis of DC charger based on cloud mode...

引用

14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Yuan, Li Wen, Tan Su, Yan Yi, Zichao Wang, Yu State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China

ISBN: (纸本)9798350301359

This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the cloud model theory. And applied to solve the DC charger failure mode risk assessment, analysis and determination of DC charger key failure mode and failure mechanism. Firstly, the expert assessment information of DC charger fault mode was converted into a cloud model, and then the risk assessment index and expert weight of risk assessment were calculated. Finally, the TOPSIS method was used to determine the risk priority of the fault mode, and the failure mechanism of the high-priority fault mode was analyzed to determine the failure physical model. © 2023 IEEE.

关键词： cloud model Dc charger failure mechanism risk assessment TOPSIS method

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Comparison of Adaptive Virtual Impedance Coefficient to Suppress Power Oscillation in Multi-VSG grids 16

Comparison of Adaptive Virtual Impedance Coefficient to Supp...

引用

16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Ji, Jie Li, Xingshuo Ding, Shuye Chen, Yizhi School of Electrical and Automation Engineering Nanjing Normal University Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350386127

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment. © 2024 IEEE.

关键词： Synchronous generators

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

引用

2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Xing, Xiangyu Yan, Bingrong Su, Yan Tang, Lingyun College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9798350388855

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis. © 2024 IEEE.

关键词： BPCA monitoring data.feature extraction SPCA

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High-performance Full Electromagnetic Transient Simulation System of Fujian Power grid and its Application 5

High-performance Full Electromagnetic Transient Simulation S...

引用

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Li, Zhicheng Tang, Zhijun Zhang, Dongyuan Chao, Wujie Peng, Xiaoyan Leng, Yongjie Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fujian China Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China Integrated Electronic Systems Lab Co. Ltd. Jinan China

ISBN: (纸本)9781665434256

This paper proposes a high-performance full electromagnetic transient simulation system of Fujian power grid. The system is developed based on the General Transient Simulator (GTS), which is a self-developed electromagnetic transient simulation tool. The key technologies of the simulation system, such as the high-performance automatic parallel computing technology and the large time step electromagnetic transient simulation technology, are introduced. The full electromagnetic transient simulation of the AC power system above lOkV in Fujian power grid based on the dispatching control cloud platform is realized. Study cases are carried out and the validity and accuracy of the simulation are verified by comparing the actual fault recording data and simulation waveforms. © 2021 IEEE

关键词： Transients

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A Simplified Matching Algorithm of the Carbon Neutrality Path for the Industry Zones 11

A Simplified Matching Algorithm of the Carbon Neutrality Pat...

引用

11th International Conference on Innovative smart grid Technologies - Asia, ISGT-Asia 2022

作者： Jin, Jingqi Li, Nan Lai, Yening Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Qinghai Electric Power Company Economic and Technological Research Institute Xining China

ISBN: (纸本)9798350399660

After the carbon peaking and carbon neutrality goals were determined, industrial zones with high energy consumption began investigating their own carbon emission paths and formulating carbon emission reduction strategies. According to the zone's carbon emission projections, a reasonable estimate of the long-term carbon neutrality curve can be made, which has significant research implications for describing the carbon emission path and formulating carbon emission reduction measures. This paper uses the modified Kaya identity to build a model of the zone's carbon emissions. It proposes an algorithm for the zone's carbon-neutrality path matching the carbon peak path and determines the carbon emission peak year and carbon budget of the zone for achieving carbon peaking and carbon neutrality goals. © 2022 IEEE.

关键词： Carbon

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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...

引用

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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