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检索条件"机构=State Grid Corporation Laboratory of Power Grid Advanced Computing and Application Technology"

共 129 条记录，以下是21-30 订阅

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A Fault Ride-Through Method Based on Energy Dissipation Device in the Scenario of Flexible HVDC grid Connection of Offshore Wind power 4

A Fault Ride-Through Method Based on Energy Dissipation Devi...

引用

4th International Conference on Electrical Engineering and Control Technologies, CEECT 2022

作者： Huang, Xifang Wang, Yu Ge, Jing Chi, Chengbin Liu, Fusuo State Grid Electric Power Research Institute Stability Technology Branch Company Nari Group Corporation Nanjing China State Grid Smart Grid Research Institute Co. Ltd Beijing Key Laboratory of Dc Grid Technology and Simulation Beijing China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Beijing China

ISBN: (纸本)9781665498999

The flexible HVDC transmission technology based on the modular multilevel converter (MMC) topology has a very broad application prospect in the process of large-scale renewable energy collection and transmission. This technology has become one of the best choices for long-distance offshore wind power farms to connect to the onshore power grid. In view of the special working conditions such as overvoltage in the fault state, this article proposes a controllable large-capacity self-recovery energy-dissipation device for the first time to improve the transient characteristics of the DC and AC power system. The proposed scheme has the advantages of no harmonic generation during operation, relatively simple control strategy and high current impact resistance. The electromagnetic transient simulation shows that the proposed scheme can effectively solve the overvoltage problem of DC in the offshore wind power flexible HVDC system, and improve the reliability of the HVDC system. © 2022 IEEE.

关键词： Energy dissipation

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Design of Energy Information Collection and Analysis Terminal with Digital Edge computing Capabilities 13

Design of Energy Information Collection and Analysis Termina...

引用

13th International Conference on power and Energy Systems, ICPES 2023

作者： Peng, Xiao Luo, Bingxiang Lu, Zihao Zhang, Lu Liu, Yupeng State Grid Hunan Electric Power Corporation Limited Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China Hunan University College of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350345063

Within the domain of the smart grid, the conventional procedure involves the utilization of a concentrator to procure power-related data from users, subsequently subjecting this data to analysis for evaluating their electricity consumption behavior. However, this established approach is marred by issues such as the central station being burdened with extensive computational tasks and a notable lack of precision in identifying instances of irregular power consumption. This study seeks to address these shortcomings by introducing an innovative energy information collection and analysis terminal for the power system. In tandem with this, a model for effectively detecting incidents of unauthorized electricity usage is proposed. Notably, the core novelty of this research resides in the strategic integration of the Tiny4412 core board, a cutting-edge platform for edge computing. Leveraging the computational prowess of the Tiny4412 core board, the terminal is adept at promptly discerning and categorizing instances of electricity theft, without overburdening the central station with computational demands. To validate the practical viability of the proposed system, a series of empirical tests are conducted. The results unequivocally underscore the terminal's proficiency in effectively detecting and flagging potential cases of electricity theft, leveraging meticulous analysis of data acquired from the intelligent energy meter. © 2023 IEEE.

关键词： Electric power utilization

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Net Load Segmented Forecasting Method For Data Center Based on GS-LightGBM Model

Net Load Segmented Forecasting Method For Data Center Based ...

引用

Renewable Energy and Hydrogen Technologies (GlobConHT), IEEE IAS Global Conference on

作者： Shuya Lei Xiao Liang Xuwei Xia Haonan Dai Jingyang Ding Xinxin Ge Fei Wang State Grid Corporation Laboratory of Power Grid Advanced Computing and Application Technology State Grid Smart Grid Research Institute Co. Ltd Beijing China State Grid Ningxia Electric Power Research Institute Yinchuan China Department of Electrical Engineering North China Electric Power University Baoding China

The time-space transferability of data center workload determines that its power load has considerable adjustable potential. Making full use of this potential to formulate power load transfer strategy and participating in demand response or electricity market can effectively reduce the operating cost of data center. Accurate load forecasting results of data center are important supports for formulating effective transfer strategy. However, existing data center load forecasting methods still do not fully consider the influencing factors of different types of loads in the data center. And they are inapplicable when behind-the-meter (BTM) distributed photovoltaics (DPVs) are installed in the data center. To solve this, this paper divides the data center net load into two parts and forecasting them respectively: the cooling load (CL) and the remaining net load (RNL), where RNL is the sum of IT load, DPV output and other power loads. According to the characteristics of CL and DPV, we divided CL and RNL into seasons and periods respectively. Under each season or period, feature engineering based on light gradient boosting machine (LightGBM) is created and the LightGBM is also used to establish the forecasting model. The selection of parameters is realized by grid search algorithm (GS). Finally, the validity of the method is verified by the load data provided by National Renewable Energy laboratory (NREL).

关键词： Data centers Renewable energy sources Electric potential Load forecasting Predictive models Prediction algorithms Data models

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Research on weak magnetic energy extraction technology of power cable and development of high efficiency energy extraction device 5

Research on weak magnetic energy extraction technology of po...

引用

5th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Zeng, Pengfei Liu, Xin Lu, Yongling Li, Chunlong Huang, Hui Liu, Wentao Wang, Zhen Gao, Zhidong State Grid Smart Grid Research Institute Co. Ltd. Beijing China Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China State Grid Anhui Electric Power Company Hefei China State Grid Jiangsu Electric Power Company Research Institute Nanjing China State Grid Anhui Ultra High Voltage Company Beijing China Beijing China

ISBN: (纸本)9781665479677

With the increasing scale of power cables, the lack of reliable and stable power supply for cable monitoring sensors with light load and weak magnetic field has become a key problem, and restricting the development of the Internet of Things for power transmission and distribution. This paper first analyzes the current power supply technology of cable monitoring sensors, and through the analysis of the single core cable structure and its magnetic field influencing factors, proposes a scheme for power supply of weak magnetic field cable monitoring sensors. Combined with the magnetic field energy extraction output model, a self-energy extraction device for the weak magnetic field cable environment is developed. Through the test verification, the device can complete the stable power supply of the light load cable monitoring sensor. © 2022 IEEE.

关键词： Internet of things

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Modulation characteristics of PZT phase modulator under temperature variation 20

Modulation characteristics of PZT phase modulator under temp...

引用

20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Chen, Shuo Liu, Zhanyuan Niu, Xiaochen Li, Wei Start Grid Smart Grid Research Institute Co.Ltd. Beijing China Electric Power Intelligent Sensing Technology Application of State Grid Corporation Joint Laboratory Beijing China School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

The regulation of modulation voltage and modulation phase under the influence of different ambient temperature is investigated. It provides theoretical and practical data support for solving the impedance matching pro... 详细信息

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

关键词： Modulation

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Research on Capacity Configuration Method of Underwater Compressed Air Energy Storage Considering Offshore Wind power

Research on Capacity Configuration Method of Underwater Comp...

引用

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

作者： Ming Shao Suhua Lou Yaowu Wu Yong Lin Weijie Wu Zhengmin Zuo Peiyu Liu Mingshan Mo State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China Power grid planning research center of Guangdong power grid corporation Guangzhou China

ISBN: (数字)9798350366914

ISBN: (纸本)9798350366921

In order to cope with the challenges brought by the volatility and randomness of new energy output such as offshore wind power, underwater compressed air energy storage (UCAES) has been widely concerned and has broad development and application prospects. A capacity configuration model of underwater air compressor considering offshore wind power is presented in this paper. Firstly, the model of underwater compressed air energy storage and wind power output is established. Then, the capacity optimization configuration model of UCAES is constructed with the goal of optimal economic benefit. Finally, the model is analyzed according to the solving results, and the results show that the validity of the model is verified.

关键词： Economics Analytical models Insulation Atmospheric modeling Wind power generation Energy efficiency power systems Isothermal processes Optimization Energy storage

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Vortex-induced vibration and galloping interactive piezoelectric wind energy harvester for self-powered wireless sensor node on power transmission line and tower

Vortex-induced vibration and galloping interactive piezoelec...

引用

2022 International Conference on Electronic Information technology, EIT 2022

作者： Huang, Hui Ju, Dengfeng Liu, Hongjing Li, Chunlong Huang, Feng He, Xuefeng Ji, Xumei State Grid Smart Grid Research Institute Co. Ltd. Beijing China Elec. Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China State Grid Beijing Electric Power Research Institute Beijing100075 China Standard Verification Laboratory for On-site Testing Technology Beijing102209 China Key Laboratory of Optoelectronic Technology and Systems of Education Ministry of China Chongqing University Chongqing China

ISBN: (纸本)9781510655096

To improving the reliability and flexibility of the power sensors on the transmission lines and towers, and overcome the shortcomings of the traditional power supply with wind-solar hybrid generators and chemical batteries, a piezoelectric wind energy harvester (WEH) with the low onset speed utilizing the enhancement effect of interaction between vortexinduced vibration (VIV) and galloping was developed. The VIV-galloping interactive WEH with a square cross-sectional bluff body was designed by letting the ratio of the theoretical onset speed of galloping to that of VIV as low as 1.27, much lower than the critical ratio for full VIV-galloping interaction. The volume of the harvester is about 8.13cm3. To demonstrate the application of the interactive WEHs, a self-powered wireless sensor node for temperature and humidity sensing was designed. The harvester prototype and the wireless sensor node were tested in a small wind tunnel. Experimental results verified that it is a VIV-galloping interactive device and the onset speed is as low as 2.4-2.7m/s. The working range of the prototype is very wide and the electrical output increases with the wind speed from 2.4m/s to 9.9m/s (about 3.67-4.13 times the onset speed). When the wind speed is 6.5m/s, it took about 202 seconds to charge the capacitor of 100µF from 0 to 4.0V and the self-powered wireless sensor node measured and transmitted the ambient temperature and humidity every 63 seconds, which can meet the need of Transmission Lines Condition Monitoring. © 2022 SPIE.

关键词： Piezoelectricity

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Influence of Structural Parameters of Voltage Sensing Unit in Switchgear on Distribution Characteristics of Spatial Stray Capacitance 3

Influence of Structural Parameters of Voltage Sensing Unit i...

引用

3rd IEEE International power Electronics and application Conference and Exposition, PEAC 2022

作者： Huang, Jie Niu, Xiaochen Zhou, Zihan Elec. Pwr. Intelligent Sensing Technology and Application of State Grid Corporation Joint Laboratory State Grid Smart Grid Research Institute Co.Ltd Beijing China North China Electric Power University School of Electrical and Electronic Engineering Beijing China

ISBN: (数字)9781665491419

ISBN: (纸本)9781665491419

Among the medium and high voltage switchgear equipment, capacitive voltage transformer (CVT) is the most widely used power equipment in voltage measurement. The distribution characteristics of stray capacitance in the equipment space are directly related to the accuracy of equipment measurement. This paper analyzes the working principle of the voltage sensing unit, designs the structural model of the voltage sensing plate and the shielding plate, calculates the spatial capacitance distribution value when the axial length of the voltage sensing plate and the shielding plate changes, and reveals the influence of the structural change of voltage sensing unit in the switchgear on the distribution characteristics of spatial stray capacitance. © 2022 IEEE.

关键词： Shielding

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CryptoDetection: A Cryptography Misuse Detection Method Based on Bi-LSTM 8

CryptoDetection: A Cryptography Misuse Detection Method Base...

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8th IEEE International Conference on Computer and Communications, ICCC 2022

作者： An, Chunyan Zhang, Donglei Gao, Xinjie Zhu, Xueqiong State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China Elec. Pwr. Intelligent Sensing Technology and Application of State Grid Corporation Joint Laboratory Beijing102209 China State Grid Jiangsu Electric Power Company Ltd. Research Institute Nanjing211103 China

ISBN: (纸本)9781665450515

As the dramatic increase of both number and types of IoT devices, especially the ones have stringent requirements on complexity, development period and cost, cryptography misuses are becoming increasingly common which will have a tremendous influence on the security and privacy protection. To address the above question, this paper studies the feature of 73 cryptography misuses, proposes a cryptography detection method based on Bi-LSTM which can learns forward and backward simultaneously, and then developes a prototype tool called CryptoDetection for Java source code. Experimental results have shown that the proposed detection method achieves 92% accuracy, 92% precision, 91% recall and 92% f1-score, which respectively outperforms the best one among all the compared state-of-the-art techniques. © 2022 IEEE.

关键词： Cryptography

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Online Monitoring Method for Metering Errors in Charging Facilities Based on Energy Conservation and Double Metering Comparison 23

Online Monitoring Method for Metering Errors in Charging Fac...

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Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering

作者： Jing Yang Cong Wu Zhi Wang Chao Liu Mouhai Liu State Grid Hunan Electric Power Corporation Limited China and Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology China

ISBN: (纸本)9798400708299

The electric energy metering device of charging facilities is easily affected by factors such as power quality, abnormal fluctuations in fixed loss in the station area, and distortion signals, and it is difficult to ensure the accuracy of electric energy measurement of charging facilities. In order to ensure the fairness, impartiality, scientific accuracy of measuring charging facilities, and enhance the accuracy of measurement, a hardware and software-based method combining energy conservation and comparison of primary and secondary metering modules is proposed for online monitoring of charging pile errors. Firstly, the measurement errors of each charging pile are calculated based on energy conservation. Secondly, for suspected charging piles with excessive errors, a secondary judgment is conducted using the primary and secondary metering module approach to enhance the robustness of online error monitoring. This method has the advantages of simple structure, low cost, high monitoring efficiency, and accuracy.

关键词： Charging facilities Energy conservation Metering errors power quality

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