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International Conference on Networking and Network Applications (NaNA)

作者： Weicong Huang Jieying Zhou Minghui Jin Zheng Han Sijia Wei State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD. Nanjing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

With the increasing frequency of data circulation and sharing in power monitoring systems, traditional network-centric protection strategies are insufficient to resist the growing risk of data leakage. This article analyzes the security risks in existing typical data circulation and sharing scenarios based on the demand for data security sharing in power monitoring systems. A data security protection technology framework covering the source layer, interaction layer, and terminal layer has been proposed from the perspectives of basic protection capabilities and key protection technologies, as well as an evaluation method for the protection technology capabilities of data circulation and sharing. This provides a reference idea for effectively enhancing the data circulation and sharing protection capabilities of power monitoring systems.

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Sensitivity Analysis of the Flexible Spiral Magnetic Field Energy Harvester

Sensitivity Analysis of the Flexible Spiral Magnetic Field E...

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power and Energy Systems Engineering (CPESE), International Conference on

作者： Wei Wang Chenjin Xu He Wang Wenbo Su Zhenya Ji Minqiang Hu NARI School of Electrical and Automation Engineering State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China NARI School of Electrical and Automation Engineering Nanjing Normal University Nanjing China

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH.

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Research on Signal Extraction and control Strategy of Single-Phase PWM Rectifier in d-q Coordinate Frame

Research on Signal Extraction and Control Strategy of Single...

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International Conference on Wireless power Transfer, ICWPT 2022

作者： Gong, Lieqian Fu, Guanggang Wang, Xin Tang, Mengyang Liao, Wu Miao, Yiru State Grid Wenzhou Power Supply Company Limited Wenzhou325000 China College of Electrical and Information Engineering Hunan University Changsha410082 China Key Laboratory of Smart Grid and Intelligent Control in Nanchong Southwest Petroleum University Nanchong637001 China Chengdu Guojia Electriacal Engineering Co. Ltd. Chengdu611756 China

ISBN: (纸本)9789819906307

There are some AC time-varying physical quantities in single-phase PWM rectifier, as a result, it is difficult to design control system. a current inner loop-voltage outer loop control strategy is implemented by establishing the math model in d-q synchronous frame. The grid voltage contains abundant harmonics, which seriously affects the detection accuracy of the voltage phase, and the virtual component of grid-side current cannot be directly sampled, so a discrete extraction method for the fundamental component of the grid voltage without phase-locked loop is proposed. Simulation and experimental results show that under different loads, the output voltage of the rectifier can accurately follow the given, and the dynamic performance is good. The grid-side current and electromotive force maintain unit power factor operation, which proves the virtual current detection method and control strategy proposed in this paper is feasibility and correctness. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Extraction

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Hot Corrosion of Sputtered Nanocrystalline Coating with and Without Preoxidation and Arc Ion Plating Coating on a Ni-Based Single-Crystal Superalloy

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SSRN 2024年

作者： Yang, Xiaowen Lu, Yiliang Chen, Zehao Wang, Jinlong Zhang, Qiang Chen, Minghui Zhang, Jianqiang Wang, Fuhui Corrosion and Protection Center Northeastern University Shenyang110819 China State Key Laboratory of Advanced Power Transmission Technology State grid smart grid research institute Co. Ltd. Beijing102209 China Sydney Australia

Hot corrosion of the N5 nanocrystalline coating with 0.5 wt.% Y addition with and without preoxidation under 75 wt.% Na2SO4 + 25 wt.% NaCl molten salts at 900 °C was investigated, in comparison with that of the NiCrAlY coating under the same condition. The results showed that preoxidation significantly enhanced the corrosion resistance of the nanocrystalline coating by forming an exclusive Al2O3 scale on the surface that could prevent molten salt from accessing the coating surface. The coating preoxidized at 1000 °C exhibited the highest corrosion resistance with the least internal corrosion. © 2024, The Authors. All rights reserved.

关键词： Superalloys

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Transient Response Characteristics Analysis of DFIG under Symmetric Voltage Sudden Changes in the grid

Transient Response Characteristics Analysis of DFIG under Sy...

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Sustainable power and Energy Conference (iSPEC)

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

Large-scale grid-connection of wind power has a profound impact on the characteristics of power grids. To study the mechanism of the influence of voltage sudden changes on the transient response characteristics of double-fed wind fields is the basis of ensuring the safe and stable operation of power grids. In this paper, the expression of rotor current under symmetrical voltage sudden changes is derived, and the related factors affecting the transient response characteristics of rotor current are analyzed. Then, a detailed DFIG model is built in PSCAD, and a variety of scenarios are simulated to verify the accuracy of the proposed doubly-fed fan’s transient response characteristics under symmetrical voltage sudden changes.

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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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Rapid Generation of DFIG Farm Equivalent Model Evaluation Scenario Based on Deep Belief Network

Rapid Generation of DFIG Farm Equivalent Model Evaluation Sc...

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power and Energy Engineering (ICPEE), International Conference on

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

The protection link within the wind farm is the key link that affects the transient characteristics of the wind farm, and also has the greatest impact on the complexity of scene construction. Therefore, it is urgent to study the method that can quickly build the chopper circuit and crowbar circuit action scene during the evaluation of the equivalent model of the wind farm. In this paper, a fast generation method of wind farm protection state scenarios based on Deep Belief Network (DBN) is proposed. Firstly, characteristic quantities that affect the protection action of a single fan in a wind farm are extracted, such as terminal voltage drop (the junction voltage of a single fan is equal to the terminal voltage), wind speed, etc. Simulation is carried out on a single fan in scenarios with different characteristic quantities, and records of characteristic quantities and protection actions are put into the DBN model for training as a sample set. Through training, a DBN model which can directly and accurately generate the fan protection state according to the characteristic quantity is obtained. Then, the topological structure and line impedance information of the wind farm are obtained, and the relationship between the voltage drop at the junction point and the voltage drop at the end of each fan in the wind farm is obtained. Combined with the voltage drop at the end of each fan in the wind farm and the deep belief network model, the fan protection action scene in the wind farm can be quickly generated for equivalent model evaluation. Finally, a numerical example is given to verify the effectiveness of the proposed method.

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Multi-dimensional Quantitative Evaluation of Fault Transient Characteristic Accuracy of DFIG Farm Equivalent Model

Multi-dimensional Quantitative Evaluation of Fault Transient...

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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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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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Optimal Dispatch of Low-Carbon Campus power System Considering Flexible Loads and Green power Utilizations

SSRN

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SSRN 2024年

作者： He, Boyu Jin, Xiaolong Jia, Hongjie Cheng, Lin Mu, Yunfei Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality Tianjin University Tianjin30072 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

In recent years, energy consumption in Chinese universities and colleges has constituted approximately 10% of the nation's total energy usage. As part of the drive towards carbon peaking and neutrality, there's a growing imperative to establish cleaner campus power infrastructure. Additionally, maximizing the flexibility of campus loads proves advantageous in integrating renewable energy sources effectively. Therefore, this paper provides an optimal dispatch approach to achieve low-carbon in a campus power system. First, a low-carbon campus power system framework is proposed, in which most of the energy consumption is replaced with green electricity, and teachers and students are able to interact with the energy management system. was proposed. Second, flexible load models in the campus for electric vehicles (EV), air conditioners (AC), energy storage, and other loads were established. To fully exploit the flexibility potential of building loads, the Resistance-Capacitance (RC) model is employed in this study to dynamically describe the thermal processes of buildings. Third, by means of load regulation measures, such as flexible course schedules, an optimal dispatch approach for the low-carbon campus power system was established. A university in southern China is selected as a case study for analysis. After conducting an annual operation simulation, compared to the original scenario, the carbon emissions of the campus power system decreased by 86.97% and the electricity bill paid was saved by 41.2%. The case study shows that adopting load regulation measures can effectively promote the consumption of renewable energy sources and support the development of the low-carbon campus. © 2024, The Authors. All rights reserved.

关键词： Renewable energy

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