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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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Research on Communication Schemes for Digital-Physical Hybrid Simulation of the SSCS 6

Research on Communication Schemes for Digital-Physical Hybri...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Liu, Qitao Xu, Jianbing Xu, Haibo Ding, Zhao Li, Manli Ren, Jinhua Yin, Zhaoyang NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing China State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Nanjing China

ISBN: (纸本)9798350347159

SSCS plays the essential role in power grid operation to ensure the control reliability and effectivity. Due to the power system becomes more complex, it is inevitable to improve the simulation technology for SSCS. Thus, a digital-physical hybrid simulation platform for SSCS is required. In this paper, the requirements of the digital-physical hybrid simulation platform are analyzed and focus on the design of communication schemes for digital-physical hybrid simulation. IEC61850 and Aurora based communication technical roadmaps are proposed for the communication between RTDS and DSSCHP. Also, two options are available for the communication between SSCDs and DSSCHP. © 2022 IEEE.

关键词： Simulation platform

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Research on Chinese Word Segmentation Algorithm based on Dictionary and Statistical Method and Its Application in the field of power grid control

Research on Chinese Word Segmentation Algorithm based on Dic...

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

作者： Shen, Chao Dai, Jinxia Mao, Mengge Zhao, Kun Yan, Zhen Huang, Kun NanJing China State Key Laboratory of Smart Grid Protection and Control NanJing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

In view of the particularity of Chinese word segmentation in the professional field of power grid regulation, the performance of Chinese word segmentation based on traditional statistical algorithm is frequently limited by the corpus training in the proprietary field, and the insufficient ability of Chinese word segmentation based on dictionary algorithm in identifying new words and disambiguation in the proprietary field. This paper proposes a Chinese word segmentation method based on the combination of dictionary and statistical method, and applies it to the application scenario of querying the operation status of power grid. This method constructs a professional dictionary in the field of power grid regulation by using the Double-Array Tree storage structure. Then using the CRF(Conditional Random Fields) train the text data to generate the model file, and the FMM(Forward Maximum Matching) method is used for Chinese word segmentation combined with the professional dictionary in the field of power grid regulation. A fast and accurate online word segmentation method in the field of power grid regulation is designed and implemented, it performs well in some main performance indexes. In the application scenario of querying the power grid operation status, the Chinese word segmentation results obtained by this method combined with the standard query sentence pattern realize the rapid classification of application scenario query and the accurate execution of operation commands, greatly improve the efficiency and accuracy of querying the power grid operation status, and improve the human-computer interaction experience. © 2022 IEEE.

关键词： Digital storage

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Methodology for Regional Carbon Emission Projections and Scenario Analysis Based on the STIRPAT Model 25

Methodology for Regional Carbon Emission Projections and Sce...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Xu, Xihao Kong, Xiangyu Wang, Yang Liu, Jiancun Wang, Yubo Yu, Fanfan Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

Analyzing the factors that influence carbon emission reduction and predicting the peak year of carbon emissions will help the region clarify the direction of emission reduction efforts and take the lead in achieving carbon peak and carbon neutrality. This paper proposes a regional dual-carbon target and path planning method. Firstly, an indicator system is established to explore the relationship between regional carbon emissions and factors such as the economy, population, and energy efficiency consumption. Indicators with higher correlation are selected through gray correlation analysis. Then, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model is constructed to predict carbon emissions in the region. Lastly, a scenario design is conducted for the dual-carbon target, predicting carbon emissions under different scenarios while considering carbon sinks. The results are analyzed to finalize the regional dual-carbon target and path. © 2024 IEEE.

关键词： Carbon capture and utilization

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A Coordinated MMC control Strategy of Integrated Photovoltaic/Battery System 7

A Coordinated MMC Control Strategy of Integrated Photovoltai...

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7th IEEE International Conference on Energy Internet, ICEI 2023

作者： Yang, Yuexi Zhou, Xiao Wang, Sichao Li, Chunpeng Huang, Junwei Xu, Wenzheng State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China National Research Center for Active Distribution Network Technology Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350386684

The grid-connecting control and maximum power point tracking control of photovoltaic inverters have long been the research focus in the field of solar power generation. In this paper, a new coordinated modular multilevel converter (MMC) control strategy based on virtual synchronization and MPPT is proposed for grid-connected inverters in the PV/Battery system. The proposed strategy realizes frequency and voltage droop control with the synchro's inertia and damping characteristics, and improves the power angle stability as well as system voltage stability. Simulation results in MATLAB/Simulink verifies the feasibility and effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Solar energy

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Optimization Method for Flexible Dispatch of Source, grid, Load and Storage Considering Different Photovoltaic Penetration Rates 25

Optimization Method for Flexible Dispatch of Source, Grid, L...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Wang, Man Wang, Chunjie Kong, Xiangyu Yao, Haoyang Niu, Yuan Wang, Chao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China State Grid Tianjin Electric Power Company Ninghe Power Supply Branch Tianjin China

ISBN: (纸本)9798350366600

As the scale of grid connection of renewable resources such as wind and solar continues to increase, it is difficult to meet system needs by relying solely on the existing single fast peak-shaving power source. Therefore, this paper aims at the power system scheduling problem under different photovoltaic penetration rates. First, the multi-dimensional characteristics of photovoltaics are modeled. Then, a system scheduling model for the interaction of four types of resources: conventional units, grid elasticity, load response, and energy storage is established. Finally, to minimize the system peak-shaving cost, the optimal system scheduling strategy under different photovoltaic penetration rates is obtained, and the dynamic matching of different photovoltaic penetration rates with the peak-shaving capacity of the power system is completed. A system scheduling strategy that can meet different photovoltaic penetration rates is proposed to ensure the power system's balance of supply and demand and improve resource utilization. © 2024 IEEE.

关键词： grid interaction between source load and storage new energy grid connection optimal power grid dispatching

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Correction of Wind power Prediction Error Under the Extreme Weather Based on K-nearest Neighbor Algorithm 1

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8th Purple Mountain Forum on smart grid protection and control, PMF 2023

作者： Ye, Wenjie Liu, Gang Yang, Dongmei Liang, Yiheng Yang, Yize Tang, Chenghong Chen, Yizhi State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China NARI Technology Development Co. Ltd Nanjing211106 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Extreme weather, such as cold waves and frosts, can significantly impact the output of wind farms. To address this issue, this paper proposes a short-term power prediction and correction method suitable for wind farms during extreme weather, based on the K-nearest neighbor algorithm and multiple linear regression model. By verifying that wind power output is affected by wind speed, temperature, humidity, wind power kurtosis, and other factors, the K-nearest neighbor algorithm is used to obtain the sample set of similar days on the day to be measured. The regression model of influencing factors and output errors is established to improve the power prediction accuracy. A wind farm in northwest China is used as a test example to verify the effectiveness of the output correction method. © 2024, state grid Electric power.

关键词： Nearest neighbor search

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Load Flexibility Evaluation Method for Industrial Parks Based on SPA and TOPSIS 25

Load Flexibility Evaluation Method for Industrial Parks Base...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Wang, Yubo Kong, Xiangyu Wang, Yang Zhang, Haixuan Wu, Shunyu Luo, Shuai Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China State Grid Tianjin Electric Power Company Tianjin China Economic and Technological Research Institute State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

With the requirement for an increased share of renewable energy, park load flexibility is needed to balance fluctuations between supply and demand. The factors affecting the load flexibility of the park are analyzed from four dimensions: high quality, high efficiency, security, and low carbon. The index system for evaluating the load flexibility of the park is constructed. Given the relevance of the load flexibility assessment indexes of the park, the grey entropy algorithm is improved, and the combined assignment method is proposed to enhance the assignment of the indexes' weights. The quantitative assessment method of park flexibility is proposed based on the coupling of SPA (Set Pair Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The simulation shows that this method can solve the shortcomings of traditional TOPSIS well and make the quantitative assessment results of park load flexibility more accurate, which can be a guide for evaluating the flexibility of other urban industrial parks. © 2024 IEEE.

关键词： evaluation indicators grey correlation analysis park load TOPSIS

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Simultaneous catalytic removal of NO and chlorobenzene over Mn-Ce-Sm-Sn-O_x/P84 composite catalytic filter

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Journal of Rare Earths 2025年第3期43卷 526-533,I0004页

作者： Mutao Xu Liguo Chen Xinpei Cheng Qijie Jin Ranran Zhou Jian Yang Chengzhang Zhu Sheng Wang Haitao Xu School of Environmental Science and Engineering Nanjing Tech UniversityNanjing210009China State Key Laboratory for Clean and Efficient Coal-fired Power Generation and Pollution Control State Key Laboratory of Low-carbon Smart Coal-fired Power Generation and Ultra-clean EmissionNanjing210046China College of Materials Science and Engineering Nanjing Tech UniversityNanjing210009China State Key Laboratory of Materials-Oriented Chemical Engineering Nanjing Tech UniversityNanjing210009China Nanjing Gekof Institute of Environmental Protection Technology&Equipment Co. Nanjing210031China

The integration of surface filtration and catalytic decomposition functions in catalytic bags enables the synergistic removal of multiple pollutants(such as dust,nitrogen oxide,acid gases,and dioxins)in a single reactor,thus effectively reducing the cost and operational difficulties associated with flue gas *** this study,Mn-Ce-Sm-Sn(MCSS)catalysts were prepared and loaded onto hightemperature resistant polyimide(P84)filter through ultrasonic impregnation to create composite catalytic *** results demonstrate that the NO conversion rates of the composite catalytic filter consistently achieve above 95%within the temperature range of 160-260℃,with a chlorobenzene T_(90)value of 230℃.The ultrasonic impregnation method effectively loaded the catalyst onto the filter,ensuring high dispersion both on the surface and inside the *** increased exposure of catalyst active sites enhances the catalytic activity of the composite catalytic ***,increasing the catalyst loading leads to a gradual decrease in permeability,an increase in pressure drops and the long residence time of the flue gas,thereby improving catalytic *** to ordinary impregnation methods,ultrasonic impregnation improves the bonding strength between the catalyst and filter,as well as the permeability of the composite catalytic filter under the same loading ***,this study presents a novel approach to prepare composite catalytic filter for the simultaneous removal of NO and chlorobenzene at low temperatures.

关键词： Compound catalytic filter Simultaneous catalysis Polyimide fibers Ultrasonic impregnation Rare earths

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A Fault Ranging Method Applicable for the Four-Terminal Lines 7th

A Fault Ranging Method Applicable for the Four-Terminal Line...

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

作者： Yu, Hong Sun, Liangkai Wu, Tonghua Wang, Xiaohong Yang, Pingyi Jiang, Yuan NARI Group Corporation Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9789819900626

With the rapid development of new energy resources and the economic consideration for the construction of the grid, the four-terminal and above lines are being used more and more, but subject to technical and other conditions, the fault ranging of the current multi-terminal line is mostly single-terminal ranging achieved by distance protection, which has large errors when a single-phase ground fault occurs via transition resistance. In this paper, a double-terminal data ranging method is introduced for multi-terminal line faults based on the combined sequence component. First, the fault section selection is performed by the combined sequence component bucking voltage algorithm. Then the fault ranging is performed based on the fault section selection results with the analog information collected at the first end of the faulty branch and the virtual analog information at the nearest T-point of the branch. After theoretical analysis and RTDS simulation experiments, it is verified that the above fault ranging methods can accurately range the multi-terminal line faults under various conditions of line faults. © state grid Electric power Research Institute 2023.

关键词： Energy resources

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