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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...

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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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Research and Application of Simplified Service Bus in New Generation Dispatching Technical Support System and Heterogeneous System 6

Research and Application of Simplified Service Bus in New Ge...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Qiang, Yi Shupeng, Wan Zhemin, Wang Weihua, He Ping, Zhang Feng, Zhang NARI Technology Co. Ltd System R&D Center Nanjing China State Grid Shanxi Electric Power Co. Ltd Taiyuan China State Key Laboratory of Smart Grid Protection and Control System R&D Center Nanjing China

ISBN: (纸本)9798350347159

With the rapid development of UHV AC / DC hybrid power grid, in order to cope with the large-scale access of new energy, the power market reform has been continuously promoted. Therefore, it is proposed to build a new generation of dispatching technical support system to meet the needs of future power system development and safe, stable and high-quality operation. This paper proposes a simplified service bus that supports a new generation of service-oriented architecture, and meets the deployment characteristics of cloud terminals that are cross platform, lightweight, easy to deploy, open and efficient. The simplified service bus can well meet the location independent characteristics and be easily deployed in and out of the system. The flexible protocol processing mode cooperating with the gateway can meet the needs of accessing the services of the system and external systems. At the same time, it supports multiple man-machine network and automatic switching of service network shutdown under N-1 mode, which greatly improves the availability and stability of the system, Which Provide a strong guarantee for the safe, stable and efficient operation of the new generation system. © 2022 IEEE.

关键词： Gateways (computer networks)

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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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Evaluation of Wind Power Acceptance Capacity Based on N-1 Static Voltage Stability Region

SSRN

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SSRN 2024年

作者： Shu, Hongchun He, Yefu Wang, Guangxue Shi, Botao Zhang, Hanxin Zaho, Zhixin State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming China Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Faculty of Land Resource Engineering Kunming University of Science and Technology China

Wind power generation is random and volatile with significant seasonal characteristics. Large-scale grid-connected wind power has an impact on the static safety of the system, especially under N-1 fault conditions. Therefore, this paper proposes an evaluation method of wind power acceptance capacity based on N-1 static voltage stability region to assess the maximum wind power acceptance capacity of the system. To accurately describe the dynamic correlation and seasonal characteristics of wind power generation in adjacent wind farms, a wind power output model is established based on k-medoids clustering and dynamic Copula function. Then, the seasonal generated scene data replaces the original wind power data for acceptance capacity assessment. The N-1 static voltage stability region model for wind power access is established, and the characterization method of wind power access to the N-1 static voltage stability region is determined by targeting search, searching, and selecting the most serious N-1 state. Monte Carlo is utilized to simulate the mathematical model of wind power acceptance capacity evaluation under different seasons, and combined with the N-1 static voltage stability domain, the maximum wind power acceptance capacity curve of the system is obtained. To verify the effectiveness of the proposed method, the IEEE-30 system connected to wind power is taken as an example for simulation analysis. The results show that the proposed method can quickly evaluate the maximum wind power acceptance capacity in the N-1 state, providing a basis for the planning and operation of a new energy power system with practical significance. © 2024, The Authors. All rights reserved.

关键词： Power generation

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Overview of DC transmission line fault analytical methods and single-ended protection 4

Overview of DC transmission line fault analytical methods an...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Pu, Hongfei Li, Xindong Wu, Tonghua Yao, Gang Nari Group Corporation State Grid Electric Power Research Institute Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781728171494

DC transmission technology, which plays an important role in connecting AC grids, can transmit power asynchronously under long-distance and large-capacity conditions. protection devices and control system of the DC transmission system are quickly put into use after the information of the first traveling wave caused by faults of DC lines having been detected. Therefore, the current HVDC transmission line mainly adopts single-ended protection based on first traveling wave information as main protection for DC lines and such protection is not affected by the control strategy. But in the fault transient stage, changes of electrical quantities of DC transmission lines will show nonlinear characteristics because of the control strategy. At present, the analytical method of fault characteristics in the transient stage is not perfect and the rapid coordination of control and protection has not been realized. This paper presents an overall introduction to the research statuses of fault analytical methods and single-ended protection principles of DC transmission lines. First, the fault characteristics of LCC- based DC transmission lines and VSC-based DC transmission lines are compared. Second, the current research statuses of HVDC transmission line analytical models and fault transient analytical methods are analyzed and the shortcomings of current analytical methods are listed. Third, the current single-ended protection principles of DC transmission lines are classified, and then the problems and valuable research directions in the process of studying single-ended protection principles based on the coordination of control and protection are listed. Finally, the outlook for the rapid coordination of control and protection of DC transmission lines is determined. © 2021 IEEE.

关键词： HVDC power transmission

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An Energy Storage Scheduling Strategy Based on Computational Optimization Starting Point

An Energy Storage Scheduling Strategy Based on Computational...

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2022 Power System and Green Energy Conference, PSGEC 2022

作者： Wang, Shangxing Fan, Gaofeng Hong, Lucheng Chen, Zehua China Electric Power Research Institute State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Beijing China State Grid Corporation of China Beijing China Southeast University Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

With a large number of new energy sources connected to the grid, the inverse peak characteristics of their power generation have brought great difficulties to the grid scheduling. In recent years, energy storage technology has gradually developed and matured, and its dual characteristics of charge and discharge provide a new solution to the problem of new energy consumption. However, the current peak load shifting scheduling problem for energy storage is mainly solved by intelligent optimization algorithm, which has the disadvantage of low solving efficiency and the risk of falling into a local optimal solution. Therefore, this paper proposes a novel scheduling strategy based on computational optimization starting point for energy storage, which can provide an appropriate iterative starting point for intelligent optimization algorithm through the preset process. Compared with the randomly generated starting point, the calculated starting point can make the objective function tend to the extreme value more quickly and stably. Finally, in the case studies part, a system with solar power generation was taken as the example. The energy storage peak load shifting optimization problem was solved by adopting the calculated starting point and the random generated starting point respectively, and the effectiveness of the proposed strategy is proved by comparing the test results. © 2022 IEEE.

关键词： Energy utilization

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Probabilistic Power Flow Optimization of Source-Network-Load-Storage in Ac/Dc Systems Based on SOC Characteristics

SSRN

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SSRN 2023年

作者： Shu, Hongchun Dai, Yue Liao, Mengli State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

As the uncertainty of both sources and loads in the power system increases, energy storage systems (ESS) as regulation resources has been widely used, and quantitative power flow optimization calculations are no longer suitable for new power system. In this paper, an uncertain power and load model is constructed, which utilizes probability attributes to convert variables into quantitative variables and takes into account the uncertainty correction of users' response to the time of use electricity price on the load side. Build an ESS model considering state of Charge (SOC), and divide the operating states. Based on the source-load-energy storage configuration, a power flow model for the AC/DC system containing VSC converters is established. Using the minimum economic cost and minimum loss of the system, as well as the minimum voltage deviation of the line, as evaluation indicators, a penalty function is introduced to establish a multi-objective optimization model for source-generation-transmission-load-energy storage. Conduct extensive simulation calculations on the probability optimized power flow model of the improved IEEE 30 node system. The results show that after the statistical model of source network load storage is optimized, the evaluation index is improved, and the capacity change and state switching of ESS are optimized. © 2023, The Authors. All rights reserved.

关键词： Electric power transmission

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