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检索条件"机构=State Key Laboratory ofSmart Grid Protection and Control"

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market 5

A Hybrid Simulation Study of the Herding Behavior Effects in...

引用

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

作者： Chen, Xuetong Huang, Jie Jin, Shuai Zhang, Yifei Ling, HengYu NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665434256

Mitigating climate change is a global consensus. C hina is aiming to have carbon emissions peak before 2030 and ac hieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious "30 •60" target. Compliance enterprises, financial institutions, and i ndividual investors are allowed to participate in the national car bon market and the complex trading interactions among these h eterogeneous participants will make the market dynamics diffic ult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-soc ial system in energy (CPSSE), this paper constructs a hybrid si mulation environment based on the Dynamic Simulation platfor m for Macro-Energy Systems (DSMES), in order to study the he rding behavior effects on carbon market under different scenari o settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial instit utions are analyzed and constructed. Then, the herding behavio reffects are studied under different market scenario settings sue has the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based o nmulti-scenario case studies, which provide decision support fo rmarket design and regulation. © 2021 IEEE

关键词： Climate change

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Marginal Unit Location Method Based on Dual Simplex Sensitivity Analysis 1

引用

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

作者： Zhang, Yantao Chang, Li Cao, Rongzhang Wang, Wen Zang, Zhendong Wu, Shuomin Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous settlement and trial operation in the domestic power spot market, the price volatility analysis scenarios of the LMP widely used by power spot pilot provinces have gradually increased, and the real-time nature has gradually increased. Since LMP is affected by many factors, and different factors are coupled with each other, it is impossible to quickly and accurately analyze the reasons for node price fluctuations and pricing units. Therefore, combined with the domestic spot market clearing and pricing two-stage optimization strategy and the mature dual simplex theory, a marginal unit location method based on dual simplex sensitivity analysis is proposed. The method supports different scenarios such as unit independent pricing, unit, and constraint slack variable joint pricing, etc. The rationality of the positioning method is verified by the PJM 5 node and practical example. The results show that the method is universal and has been applied to several spot pilots. © state grid Electric Power Research Institute 2023.

关键词： Sensitivity analysis

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A Practical Method for Generating Day-Ahead Output Probabilistic Scenarios of Multiple Wind Farms Based on K-Shape Clustering 13

A Practical Method for Generating Day-Ahead Output Probabili...

引用

13th International Conference on Power and Energy Systems, ICPES 2023

作者： Bo, Lin Xu, Taishan Tu, Mengfu Lu, Jinjun Nari Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350345063

The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations' scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making. © 2023 IEEE.

关键词： Stochastic programming

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Leakage flux-based method to identify the inrush current in transformers 12

Leakage flux-based method to identify the inrush current in ...

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12th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2020

作者： Zheng, Yu-Ping Zhang, Zhen-Ya Wu, Chong-Hao Pan, Shu-Yan Li, Zhou NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9781728170817

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. © 2020 IEEE.

关键词： Power transformers

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Large generator rotor distortion sensing monitoring technology research 7

Large generator rotor distortion sensing monitoring technolo...

引用

7th International Forum on Electrical Engineering and Automation, IFEEA 2020

作者： Shaoliang, Zhou Li, Chen Jian, Shen Jianping, Sun State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation State Grid Electric Power Research Institute Co. Ltd Nanjing China

ISBN: (纸本)9781728196275

In view of the shortage of direct measurement method for shafting of large generator sets, this paper proposes a sensor monitoring technology based on illumination emphasis. The article first introduces the research status of the shaft torque of thermal power units, and expounds the theory of mode interference and the theory of twist sensing. Then, the LP mode simulation of single-mode fiber and two-mode fiber is carried out, which is an effective method for symmetrical higher-order mode. Finally, the simulation of the mode interferometer, the spectrum and the phase during twisting is carried out. It is clarified that the non-circular symmetrical mode with π phase difference electric field distribution is the key inducement of the interferometric phase jump and spectrum flipping in twisting measurement. This article provides theoretical guidance for subsequent device fabrication and spectral distortion analysis. © 2020 IEEE.

关键词： Single mode fibers

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Influence of Capacitive Voltage Transformer Parameters on Harmonic Transmission Characteristics 12

Influence of Capacitive Voltage Transformer Parameters on Ha...

引用

12th International Conference on Renewable Power Generation, RPG 2023

作者： Li, Xindong Wu, Tonghua Lv, Yichao Jiang, Jiaheng Zhang, Chenhao State Key Laboratory of Smart Grid Protection and Operation Control State Grid Electric Power Research Institute Nanjing China Xi'an Jiaotong University Xi'an China

Capacitive voltage transformer (CVT) has the advantages such as low insulation cost, small size and large electric field strength margin, so it is widely used in voltage measurement, relay protection and high frequency communication. However, CVT has the capacitors and inductors in its structure, these components are sensitive to frequency, so it can not accurately measure harmonics. Considering the stray capacitance and coupling capacitance of capacitive voltage transformer, the broadband response equivalent circuit model of CVT is established, and a cascade hierarchical analysis method is proposed to deduce the complete transfer function. On this basis, the influence of key parameters of CVT on harmonic transmission characteristics is simulated and analysed. The simulation results show that the increase of compensation reactor stray capacitance will make the resistance band move to the low frequency direction, the stray capacitance of the primary side of the intermediate transformer affects the attenuation degree of the high frequency band, and the effect of secondary side of transformer stray capacitance on the frequency response of CVT can be ignored. The results have reference significance for accurate harmonic measurement and manufacturing of CVT. © The Institution of Engineering & Technology 2023.

关键词： Relay protection

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Research on control Strategy of Transient Disturbance Based on the Three-level Hybrid Energy Storage Converter

Research on Control Strategy of Transient Disturbance Based ...

引用

2022 International Conference on New Energy, Energy Storage and Power Engineering, NESP 2022

作者： Chen, Jinyu Dai, Liyu Li, Zhicheng Deng, Chaoping State Grid Fujian Electric Power Research Institute Fuzhou China Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China

This paper proposes a control strategy of transient disturbance based on the three-level hybrid energy storage converter. The hybrid energy storage control strategy switches to the supercapacitor when the voltage sag occurs. Its characteristics of high power density can provide rapid and smooth voltage support for the distribution network so that the distribution network system will not be greatly affected by the impact. In the case of long-term voltage sag or power failure, it is important to switch to the energy storage battery and use its characteristics of high energy density to provide an emergency power supply to support the continuous operation of essential equipment. The control strategy proposed in this paper can realize the coordinated working between supercapacitor and energy storage battery and the fast and stable switching between two different working states of the energy storage system, which effectively solves voltage sag in the main power grid. Finally, a prototype is built, and the simulation and experimental results both verify the correctness and feasibility of the proposed control strategy. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Electric power supplies to apparatus

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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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2021 China Automation Congress, CAC 2021

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

ISBN: (纸本)9781665426473

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. © 2021 IEEE

关键词： Anomaly detection

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A Flow-Appearance Fusion Defect Detection Method for Substation Equipment in Multi-Scene

A Flow-Appearance Fusion Defect Detection Method for Substat...

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2021 China Automation Congress, CAC 2021

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

ISBN: (纸本)9781665426473

In the daily maintenance process of substation, the defect detection of substation equipment is a critical problem. This task is challenging considering of the variety of defects, the rarely sample of various defects and the complex environment. This paper presents a flow-appearance fusion defect detection method for substation equipment in multiple scenes, which contains a Siamese optical flow module and a defect location module. The Siamese optical flow module is a pretrained optical flow network, which is utilized to obtain forward and backward optical flow between the normal image and the detect image. The optical flow represents the common changing features of different types of defects in multiple scenes. The defect location module utilizes MI-darknet53 to realize the extraction and fusion of appearance and flow features. Then the extracted multiscale features are used to build the feature pyramid network (FPN), which combines semantic defect information in high level and geometric defect information in low level. Finally, FPN is utilized to predict object-level defect areas in three different scales. Experiments show that our proposed method has good reliability and superior performance in the defect detection for the dataset of multi-scene substation equipment. © 2021 IEEE

关键词： Optical flows

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