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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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Transient Stability Enhancement of grid-Forming Converter in an Islanded AC Microgrid

Transient Stability Enhancement of Grid-Forming Converter in...

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International Conference on Power Electronics and Motion control (IPEMC)

作者： Yawen Ding Fei Gao Kai Hou Yingwei Jiang Qiang Gao Key Laboratory of Control of Power Transmission and Conversion Ministry of Education China College of Smart Energy Shanghai Jiao Tong University China NARI Group Corporation State Grid Electric Power Research Institute China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

With a growing share of renewable energy being incorporated into microgrids through power electronic converters, isolated microgrids are at higher risk of losing transient stability when exposed to significant disturbances, primarily due to the reduced inertia and increased nonlinearity inherent in power converters. This paper introduces a novel control strategy aimed at enhancing transient stability for the grid-forming converter within the islanded AC microgrid, utilizing model prediction techniques. By adjusting the output voltage of the grid-forming converter with the additional term produced by model prediction, the balance between the system’s equivalent input and output torques can be accelerated. The proposed strategy’s effectiveness and superiority are validated through simulation using MATLAB/Simulink.

关键词： Renewable energy sources Microgrids Power system stability Predictive models Stability analysis Power electronics Mathematical models

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key Technologies of IoT Intelligent Sensing Terminal for smart Energy

Key Technologies of IoT Intelligent Sensing Terminal for Sma...

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2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Liu, Siyang Mao, Yuxing Long, Yunfeng Pan, Jianyu Jiang, Tianyan Cao, Min State Key Laboratory of Power Equipment & System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Electric Power Research Instute Yunnan Power Grid Co. Ltd. Yunnan Kunming China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

To build a smart energy system, we must first deploy a fully aware terminal layer to connect all energy things through perception. This paper proposes key technologies of IoT intelligent sensing terminal for smart energy. Firstly, smart energy Internet of things function is given to analyze the architecture for smart energy Internet of things. Analysis of Internet of Things terminal ecosystem is located. Finally, the key technologies including resource unified modeling, hardware and software system of Internet of things terminal are proposed. Customized design of intelligent sensing terminal is given to manufacture intelligent sensing terminal for different application scenarios of smart energy. © 2022 IEEE.

关键词： Internet of things

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Analysis of Wide-Band Oscillation Characteristics of Rudong Offshore Wind Farm Connected to the grid Through VSC-Based DC Transmission System 7

Analysis of Wide-Band Oscillation Characteristics of Rudong ...

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7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

作者： Chen, Zhitong Li, Guojie Kong, Xiangping Zhang, Chi Bin, Zijun Xu, Jin Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Shanghai China Relay Protection Automation and Communication Technology Electric Power Research Institute State Grid Jiangsu Electric Power Co. Ltd. Nanjing China

ISBN: (纸本)9781665418195

The stability of Rudong offshore wind farm through a voltage-source converter (VSC) based DC transmission system was studied in the paper. Firstly, the electrical topology the wind farm with the DC transmission system was set up. Secondly, the control system of direct-drive wind turbines and the VSC of the DC transmission system was modeled, and then the dynamic mathematical model of the entire system was obtained. The oscillation modes of the system were analyzed by eigenvalues analysis. The state variables and influence parameters related to oscillations were obtained according to the participation factor analysis. The parameters of wind power systems integrated into the grid as well as the VSC control of were deeply studied, and the effect of parameter change on system constancy was analyzed. © 2022 IEEE.

关键词： Offshore wind farms

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Fault diagnosis method for ship power-system DC–DC converter using augmented WPD and multi-branch CNN-BiLSTM network

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Journal of the Franklin Institute 2025年第9期362卷

作者： Ren, Yuanjie Zhang, Lanyong Shi, Peng Peng, Huimin College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China School of Electrical and Mechanical Engineering The University of Adelaide SA5000 Australia State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

Direct current (DC) –DC converters are indispensable energy conversion devices in medium-voltage DC power systems of ships. Herein, the fault diagnosis problem of bidirectional DC–DC converters is investigated. Considering that the fault diagnosis of bidirectional DC–DC converters requires the effective combination of information from multiple diagnostic signals and differences in characteristic data in different time scales, a parallel stacking of multiple branches based on enhanced wavelet packet decomposition technology is proposed as a hybrid model of a convolutional neural network and bidirectional long short-term memory network. First, a multi-input method is used to extract effective features in the sequence data. Second, a multi-model fusion processing framework is used to perform fault diagnosis analysis on the DC–DC converter. Finally, the squeeze and excitation attention mechanism is used to weight all types of fault features and adaptively obtain them. The important weights of the classification feature maps learned by different branches generate fault classification results. Experimental results reveal that the proposed method can extract highly discriminative features from raw data and exhibits robustness in noisy environments. © 2025 The Franklin Institute

关键词： Convolutional neural networks

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FPGA-based Adaptive Variable Step MPPT Real Time Simulation for Photovoltaic Systems

FPGA-based Adaptive Variable Step MPPT Real Time Simulation ...

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2020 International Conference on smart grid and Energy Engineering, SGEE 2020

作者： He, Ruxun Wang, Shouxiang Zhang, Chunyu Ma, Qi Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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ANovel SCUC Model Considering Area control Errors and Resulting Penalties 7

ANovel SCUC Model Considering Area Control Errors and Result...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Miao, Yuancheng Song, Bingbing Wang, Lifeng Teng, Xiaobi Li, Yutong Chen, Zijie Chen, Sijie East China Branch of State Grid Corporation of China Shanghai China College of Smart Energy Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350345094

The traditional Security Constrained Unit Com-mitment (SCUC) model focuses on minimizing the total cost of electricity generation while ensuring system security and reliability. However, this model does not consider the possibility that Independent System Operators (ISOs) can intentionally allow for area control errors (ACE) to reduce energy purchase costs. This article incorporates ACE and its associated penalties into the SCUC model. Given specific penalty prices, the model can reflect the impact of considering ACE on an ISOs' power pur-chasing decisions. Experimental results show that when penalty prices are relatively low, ISOs are more profitable by generating ACE and paying penalties than by purchasing electricity from other ISOs or purchasing demand response from flexible loads. Therefore a high-enough penalty price is necessary to ensure system reliability. © 2023 IEEE.

关键词： Errors

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Online Network traffic anomaly detection method combining OS-ELM and SADE

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IEEE Access 2023年 1-1页

作者： Dai, Shiyong Zhao, Yufei Huang, Jinhua Wang, Xuxian Zhao, Guifei Zhang, Lei Xie, Ming Guo, Ziyue China Southern Power Grid Key Laboratory of Power Grid Automation Laboratory Guangzhou Guangdong China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd Beijing China Beijing Institute of Electronic Information Technology Beijing China Power Research Institute of State Grid Gansu Electric Power Company Gansu China Guangxi Power Grid Co. Ltd Nanning Guangxi China Qingyuan Power Supply Bureau of Guangdong Power Grid Co. Ltd Qingyuan Guangdong China

Network traffic anomaly detection methods can detect traffic that is significantly different from normal traffic by analyzing network traffic, and are seen as an effective means to detect unknown new attacks because they do not rely on static feature codes. However, most of the current network traffic anomaly detection methods have low accuracy and high false alarm rate. In this paper, an OS-ELM (Online Sequential Extreme Learning Machine) network traffic anomaly detection method is proposed. First, we use SMOTE to balance the data samples to improve the classification detection performance. In order to reduce the high dimensionality between data features and eliminate the redundancy, the Stacked Denoising Autoencoder (SDAE) network is adopt to reduce the dimension of the feature vectors. Finally, we test the real network traffic and analyze the effect of model structure and external noise on the detection performance, and the experimental results verify the correctness of our scheme. Compared with other detection methods based on data reconstruction, the proposed method has higher detection accuracy and better detection performance. Author

关键词： Intrusion detection

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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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Applicability Analysis of Distance protection for the Line Integrated with High Proportional Wind Farm

Applicability Analysis of Distance Protection for the Line I...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Yongwu Zhang Cheng Yao Dayong Li Xiaoxiao Huang Zhongrun Xie Jiawei He Bin Li Electric Power Dispatching and Control Center State Grid Tianjin Electric Power Company Tianjin China Electric Power Research Institute State Grid Tianjin Electric Power Company Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

The performance of conventional protections is serious challenged by different fault characteristics of wind turbine, compared to the synchronous generators. The existing studies can only illustrate the applicability of protections to the renewable energy transmission system through qualitative analysis or extensive simulations. This paper proposes a quantitative evaluation method for distance protection applicability in wind power transmission system. Firstly, by deriving the fault current of doubly-fed induction generators, the Fourier algorithm error of the fundamental frequency current under the influence of frequency deviation phenomenon is calculated. Secondly, based on the analysis of the measured impedance error caused by the Fourier algorithm error, the action accuracy of the distance protection under different operation states and fault conditions are obtained. In particular, the protection applicability under different wind power ratios is evaluated for the wind power transmission system bundled with synchronous generators. Finally, a real time simulation model of wind power transmission system is built based on RTDS platform, and extensive simulation cases are carried out to verify the validity of the proposed method.

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