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Corrosion Detection in Transformers Based on Hierarchical Annotation 7th

Corrosion Detection in Transformers Based on Hierarchical An...

引用

7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Cao, Yong Zhou, Yinian Zhang, Zhao Wu, Wenjun Chen, Xihai Yang, Sha Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China

ISBN: (纸本)9783030786083

Transformers are prone to metal corrosion due to long-term exposure in the external environment. It is necessary to detect corrosion in time to prolong their service life-time. Detecting metal corrosion based on deep learning is becoming a feasible method at present. However, because of the irregularity and detachability of metal corrosion, traditional annotation approach results in such problems as ambiguity and uncertainty in the annotating process. Thus, a novel hierarchical annotation approach is proposed in this paper. The rationale for this initiative is as follows: traditional annotation approach has been used to annotate a large area covering the range of corrosion, as long as the area is visually continuous and adjacent to the corrosion that cannot be clearly divided. The annotation result is recorded as training set A;secondly, in the annotating boxes from the first step, the areas with obvious and relatively independent features are re-annotated to form the second level of nested annotation. The annotation result is recorded as training set B. Finally, Faster R-CNN and YOLOv5 models were trained by A, B training sets respectively in the experiment. It can be concluded that the detection performance with hierarchical annotation approach proved better than traditional annotation approach for Faster R-CNN and YOLOv5 models. © 2021, Springer Nature Switzerland AG.

关键词： Object detection

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Real Time Monitoring Method of Comprehensive Energy Consumption Based on Data Mining Algorithm

Real Time Monitoring Method of Comprehensive Energy Consumpt...

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作者： Qian, Gang Tang, Chenghong Meng, Yao Qi, Xiaomin Wang, Jingtao Zhou, Jing State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312099 China State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Development Limited Company Nanjing211106 China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China China Electric Power Planning and Engineering Institute Beijing100120 China Beijing Nari Digital Technology Co. Ltd. Beijing100085 China

With the expansion of data centers, total consumption is growing exponentially. The center is faced with problems such as reducing power consumption, reducing costs and improving resource utilization. Reducing energy costs through monitoring is an important means of energy conservation in data centers. In recent years, more and more real-time energy consumption data are stored on the energy consumption management platform. There is a wealth of knowledge hidden in the energy consumption data in recent years. A large amount of data simplifies the traditional methods, and data mining methods have achieved good results in many fields. Therefore, it is of great significance to study a new energy consumption monitoring system and introduce data mining method into the system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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Research on External Characteristics for PMSG Wind Turbine Systems under Symmetrical Fault

Research on External Characteristics for PMSG Wind Turbine S...

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2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020

作者： Xie, Hua Zhao, Qingchun Liu, Peilin Gao, Xuesong NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China School of Electrical Engineering Shandong University Jinan China

ISBN: (纸本)9781728191645

Wind turbines (WTs) are based on power electronic converters. Due to different control schemes of converters, WTs exhibit diverse external characteristics when grid symmetrical fault occurs. Thus, the output current and output power of WTs cannot be forecasted, which is a challenge for the power system stability. In this regard, this paper proposes a novel strategy for Permanent Magnetic Synchronous Generator (PMSG) wind turbine systems. The strategy aims to force the PMSG exhibit a stable EFC during grid fault and provide an output current reference to the power system. Besides, the proposed strategy aims at enhancing the low-voltage ride-through capability of the PMSG. The effectiveness and robustness of the proposed strategy is verified in DIgSILENT PowerFactory. © 2020 IEEE.

关键词： Synchronous generators

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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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Chinese Automation Congress (CAC)

作者： Qingwei Zhang Jing Wang Peng Wang Wenhao Zhou 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 Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

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.

关键词： Substations Automation Semantics Maintenance engineering Feature extraction Reliability Data mining

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Large generator rotor distortion sensing monitoring technology research 7

Large generator rotor distortion sensing monitoring technolo...

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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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Small-Signal Modeling of Modular Multilevel DC Transformer 5th

Small-Signal Modeling of Modular Multilevel DC Transformer

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart Grid protection and control, PMF2020

作者： Hou, Kai Wu, Xingyu Min, Fuhong Wang, Zhigang Wang, Guoning State Key Laboratory of Smart Grid Protection and Control Nanjing Jiangsu211106 China Nanjing Jiangsu211106 China NARI Technology Co. Ltd. Nanjing Jiangsu211106 China School of Electrical and Automation Engineering Nanjing Normal University Nanjing210023 China

ISBN: (纸本)9789811597459

The dc transformer is considered to be one of the most promising components in future energy systems. The modular multilevel dc transformer inherits many of the characteristics of modular multilevel converter and dual active bridge, which brings many advantages and leads to different working principles from traditional dc transformers. In this paper, the mathematical model is obtained by harmonic decomposition and the small-signal model is obtained by linearization. The parameters of the PI controller are designed according to the small-signal model. The open-loop time-domain simulation verifies the accuracy of the mathematical model. The closed-loop simulation model verifies the reliability of the PI controller. After adding the PI controller, the results of the output voltage show that the model has fast dynamic response with no static errors, which proves that the model obtained by the harmonic decomposition is reliable. © 2021, Springer Nature Singapore Pte Ltd.

关键词： DC transformers

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The operation analysis of the CCHP driven by Gas-steam combined cycle 2

The operation analysis of the CCHP driven by Gas-steam combi...

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2nd International Conference on Oil and Gas Engineering and Geological Sciences, OGEGS 2020

作者： Liang, Junyu Yuan, Xingyu Gu, Jiangqi Yunnan Electric Power Research Institute Csg China Nari Group Co. Ltd State Key Laboratory of Smart Grid Protection and Operation Control

In combined cooling heating and power system, the gas-steam combined cycle is gradually used more and more. The common operation mode in CCHP is mainly to determine heat by electricity and heat by electricity. This paper defines an index indicator and analyzes the difference between the two operating modes in different intervals through the system energy supply interval chart, finally analyzes the difference in the indicators between the two operating modes through the actual load method. It is concluded that in winter operating conditions, the following the thermal load (FTL) operation mode is better;in summer operating conditions, the indicator of following the electric load (FEL) is better;during the transition season, the value of PEC is better in the case of following the thermal load. © Published under licence by IOP Publishing Ltd.

关键词： Thermal load

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Frequency Regulation Market Performance Considering the Complementarity of Wind Park Cluster

Frequency Regulation Market Performance Considering the Comp...

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

作者： Zirui Huang Jiangfeng Zhang Xianliang Teng Kaifeng Zhang School of Automation Southeast University Nanjing China State Grid Zhejiang Electric Power Research Institute Zhejiang China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China

Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park’s participation in the frequency regulation market considering the complementarity of wind park power outputs. By defining a quantitative complementarity index, we show how the complementarity contributes to the regulation reserve reliability of wind parks and the consistent market performance, and verify the conclusions via numerical analysis.

关键词： Wind Renewable energy sources Wind energy System integration Solar energy Regulation Power system reliability

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Impact of Generation Companies' Heterogeneous Investment Behaviors on the Effects of Non-fossil Energy Incentive Policies

Impact of Generation Companies' Heterogeneous Investment Beh...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Cai, Bin Li, Tianran Wang, Kui Li, Zhiyuan Zhu, Lei Wen, Jun Xue, Yusheng Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China Integrated Energy of Jiangsu Province Nanjing Normal University Nari School of Electrical and Automation Engineering Engineering Laboratory of Gas-Electricity Nanjing China China Huaneng Group Co. Ltd Beijing China

ISBN: (纸本)9781665414395

The incentive policies for non-fossil energy are important factors affecting the investment behavior of generation companies (GENCOs). However, the investment behavior of different types of GENCOs in the system could be quite different, so the implementation of the policy must consider how to achieve incentive compatibility with the investment behavior of GENCOs. This article constructs a power transition simulation model that considers the investment behavior of GENCOs. Taking the wind power feed-in tariff policy as an example, it analyzes the impact of policy on the whole system's low carbon transition pathway of the power structure and the evolution trajectory of system carbon emissions under different behavior scenarios. © 2021 IEEE.

关键词： Investments

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Waveform Design for MIMO-OFDM Based Dual-functional Radar and Communication Systems

Waveform Design for MIMO-OFDM Based Dual-functional Radar an...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Tianchen Liu Liang Wu Zaichen Zhang Jian Dang Bingcheng Zhu Yin Yao Liu Dongsheng National Mobile Communications Research Laboratory Southeast University Nanjing P.R.China Purple Mountain Laboratory Nanjing P.R.China State Key Laboratory of Smart Grid Protection and Control NARI Group Co. Ltd Nanjing China

ISBN: (纸本)9781665450867

Dual-functional radar-communications (DFRC) technique has attracted substantial attention. The radiation power of radar system is usually very high, and it is usually not afforded by the communication receiver. To solve this problem, this paper proposes a waveform design scheme for the DFRC system based on multiple-input and multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques. In the proposed scheme, a convex optimization problem is firstly formulated to derive the optimal covariance matrix of the transmit signals. Based on the optimal covariance matrix, a subcarrier and power allocation scheme is proposed to meet the power requirement of the DFRC system. Simulation results show that compared with the traditional OFDM based DFRC scheme, the proposed scheme can achieve almost the same target detection performance, and a much higher achievable data rate. Meanwhile, the proposed scheme can guarantee that the power radiated in the communication direction satisfies the communication power requirement.

关键词： Wireless communication OFDM Simulation Radar Receivers Object detection Convex functions

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