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共 549 条记录，以下是321-330 订阅

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness

Frequency Regulation Potential Evaluation of Temperature-Con...

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

作者： Jie Yu Jiaqi Yang Qia Ding Mengfu Tu Weixi Ji Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing China

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price; then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out.

关键词： Electric potential Cloud computing Time series analysis System integration Predictive models Prediction algorithms Demand response

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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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Chinese Automation Congress (CAC)

作者： Qingwei Zhang Jing Wang Peng Wang Wenhao Zhou Yingxuan Li 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 College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

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.

关键词： Deep learning Adaptation models Substations Fuses Semantics Lighting Feature extraction

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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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Maximum Capacity Assessment for Multi-paralleled grid-connected Inverters using Global-Admittance based Harmonic Stability Analysis

Maximum Capacity Assessment for Multi-paralleled Grid-connec...

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Sustainable Power and Energy Conference (iSPEC)

作者： Ming Yang Fusuo Liu Yu Wang Wu Cao School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781665414401

With the increasing demand for the renewable energy, the stability of the multi-paralleled grid-connected inverters is the important factor for evaluation the capacity of the inverters connected to power grid. In this paper the maximum capacity assessment for multi-paralleled grid-connected inverters using global-admittance based harmonic stability analysis is proposed. The stability analysis method with global admittance has clear physical concept and is convenient for real-time analysis and calculation. The global admittance method is illustrated first. The inverters are sorted by the capacity. The inverters sequence can be divided into two groups based on the stable critical point obtained by the global admittance method. The group with large capacity is taken as a unit. The stability of the combinations formed by this unit and other inverters in the other group is analyzed further. So the maximum capacity of the grid-connected inverters can be assessed. The application example is used to illustrate and verify the proposed method in this paper.

关键词： Renewable energy sources Systems operation Stability criteria Power system stability Harmonic analysis Inverters Power grids

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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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Sustainable Power and Energy Conference (iSPEC)

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

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

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.

关键词： Power system stability Synchronous generators Robustness Power electronics Wind turbines Wind forecasting Power generation

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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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A Flexible Antenna Array Design for Microwave Energy Transmission 17th

A Flexible Antenna Array Design for Microwave Energy Transmi...

引用

17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Chen, Jinghan Guo, Siwei Nie, Yongjie Liu, Siyang Wang, Ping State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Kunming China

ISBN: (纸本)9789819904075

Microstrip antenna as a kind of receiver front-end equipment of microwave energy transmission system, which plays an important role on the overall transmission efficiency of the system. Conventional solid metal antennas have poor mechanical properties and are susceptible to plastic deformation and cracks under external forces, which will degrade their performance. Gallium-indium alloy (EGaIn), which is liquid at room temperature, has similar electrical properties to copper and can recover itself after bending, which can make up for the shortcoming of solid-state antennas;Polyethylene naphthalate two formic acid glycol ester (PEN) is an organic polymer material, which has similar electrical properties and superior mechanical properties to conventional materials. Based on the above two materials, this paper proposes a microstrip antenna array based on flexible materials, which can endure a wide range of mechanical deformation and has better ductility and mechanical toughness. The simulation results indicate that the proposed antenna array can operate at 2.45 Hz and achieve 90% efficiency of conventional antennas, which can better meet the demand of microwave energy transmission. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Microstrip antennas

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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...

引用

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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Remaining Useful Life Prognosis of Power Semiconductor Devices Based on On-state Resistance Time Series Data and Deep Learning 7

Remaining Useful Life Prognosis of Power Semiconductor Devic...

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7th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2023

作者： Zhang, Xiaolong Zheng, Lin Tian, Heng Liu, Li Ma, Qun Wang, Huafeng Gao, Chong State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China Beijing Kedong Power Control System Co. Ltd. Beijing China State Grid Electric Power Research Institute Co. Ltd. Nanjing China State Grid Zhoushan Power Supply Company Zhoushan China

ISBN: (纸本)9798350382877

Power semiconductor devices are the essential core components of modern power electronic equipment. Predicting the remaining useful life (RUL) of power semiconductor devices can help formulate reasonable maintenance strategies for power electronic equipment, thereby improving the availability of energy conversion systems. This article proposes a deep learning method for predicting the RUL of power semiconductor devices, which uses on-state resistance as a critical state parameter. A long short-term memory (LSTM) neural network (NN) model and a convolutional neural network (CNN) model are used to predict the on-state resistance time series data trend. NN models can predict a short section of future data with past data input. The RUL of power semiconductor devices is estimated through curve fitting based on past and predictive data. The proposed method is validated using the power MOSFET accelerated aging dataset from NASA, and the validation results show that the performance of the proposed method is superior to that of existing methods, such as extended Kalman filtering (EKF) and particle filtering (PF). © 2023 IEEE.

关键词： Forecasting

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