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4th IEEE Global Conference for Advancement in technology, GCAT 2023

作者： Ye, Liuqing Zhang, Canhui Zhao, Dan Bu, Longmin Xu, Huiting Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410004 China

ISBN: (纸本)9798350305258

Asset inventory is an important part of internal management in an organization, and it is of great significance for the smooth operation and normal development of the organization. The traditional manual inventory method has problems of low inventory efficiency and low accuracy. The asset inventory model based on intelligent algorithms can overcome the shortcomings of traditional methods and improve inventory efficiency and accuracy. This article introduces the implementation process of an asset inventory model based on deep learning algorithms. Firstly, the YOLOv4 algorithm is used for object detection to obtain the position and category information of the target object in the asset image. Then, the Faster R-CNN algorithm is used to locate the target, further improving accuracy. Finally, a neural network model trained on large-scale data is used to classify, recognize, and count assets. Using the actual data, this paper constructs the optimal portfolio model based on different risk measures and termination conditions: the maximization model of unit risk return, the VaR risk control model, and the risk return preference model. Genetic algorithm and Simulated annealing algorithm are used to optimize the model. Through experimental verification, the recognition rate of this model reaches over 90%, and the inventory efficiency and accuracy are greatly improved compared to traditional manual inventory methods. In summary, asset inventory models based on intelligent algorithms have unique advantages in inventory efficiency and accuracy, and have broad application prospects in the future. © 2023 IEEE.

关键词： genetic algorithm Mathematical finance optimal portfolio simulated annealing algorithm

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The intelligent Human–Computer Interaction Method for application Software of electrical Energy Metering Based on Deep Learning Algorithm

The Intelligent Human–Computer Interaction Method for Appli...

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International Conference on Artificial Intelligence and Communication technology, ICAICT 2023

作者： Zeng, Weijie Shen, Liman Zou, Wei Ma, Yeqin Jiang, Songya Liu, Mouhai Zheng, Libing Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China Changsha China Beijing Smartchip Microelectronics Technology Company Limited Beijing China

ISBN: (纸本)9789819966400

With the vigorous development and wide application of mobile communication device technology, various mobile communication devices have emerged. Aiming at the application of mobile communication equipment application software in the field of electrical energy metering, the intelligent human–computer interaction deep learning method of mobile communication equipment of application software for electrical energy metering based on embedded Linux is studied in this paper deeply. First, the architecture and working principle of application software for electrical energy metering are analyzed briefly. Secondly, the basic principle of neural network based on deep learning algorithm are analyzed, and then, the principle process of intelligent human–computer interaction of electric energy metering application software obtained through neural network depth learning is studied in detail. Finally, a simulation example is given. The results of theoretical and simulation studies show that the method studied in this paper has the advantages of simple human–computer interaction, real-time, accurate, and intelligent. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： application programs

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Energy Loss Analysis of Distributed Rooftop Photovoltaics in Industrial Parks

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Energy Engineering 2023年第2期120卷 511-527页

作者： Yu Xiao Kai Li HongqiaoHuang Haibo Tan Hua Li State Grid Hunan Electric Power Corporation Limited ChangshaChina Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology ChangshaChina Hunan Institute of Metrology and Inspection ChangshaChina

The analysis of the loss of distributed photovoltaic power generation systems involves the interests of energy users,energy-saving service companies,and power grid companies,so it has always been the focus of the industry and society in some manner or ***,the related analysis for an actual case that considers different cooperative corporations’benefits is lacking in the presently available *** paper takes the distributed rooftop photovoltaic power generation project in an industrial park as the object,studies the analysis and calculation methods of line loss and transformer loss,analyzes the change of transformer loss under different temperatures and different load rates,and compares the data and trend of electricity consumption and power generation in industrial parks before and after the photovoltaic *** paper explores and practices the analysis method of the operating loss of distributed photovoltaic power generation and provides an essential reference for the benefit analysis and investment cost estimation of distributed photovoltaic power generation systems in industrial *** analyzed results reveal that the change loss is stable after the photovoltaic is connected,and there is no additional transformer *** before and after the photovoltaic system installation,there was no significant change in the total monthly data difference between the total meter and the sub-meter.

关键词： Distributed photovoltaic generation line loss transformer loss power generation

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Development of Customer Side Electric Safety Perception Module 5

Development of Customer Side Electric Safety Perception Modu...

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5th International Conference on Information Technologies and electrical Engineering, ICITEE 2022

作者： Xiao, Yu Liu, Xiaoping Xiao, Xiangqi Wu, Wenxian Luo, Yujian Peng, Pei Liu, Hongyu Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China

ISBN: (纸本)9781450396806

With the development of power Internet of things, as an important sensing device at the end of the perception layer of the power Internet of things, the technical function of the smart meter is given more requirements;Aiming at the problems of electric shock, fire and other problems that endanger the safety of power grid and personal safety caused by the potential safety hazards of customer-side electricity consumption, improve the safety management ability of customer-side electricity consumption, and support the realization of considerable and controllable safety of customer-side electricity consumption, this paper proposes an electricity safety perception module that meets the technical specifications of the extended module of intelligent internet of things energy meter. © 2022 ACM.

关键词： Internet of things

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Research on Docker Container Network Isolation and Security Management for Multi-Tenant Environments

Research on Docker Container Network Isolation and Security ...

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2023 International Conference on Communication Network and Machine Learning, CNML 2023

作者： Zeng, Weijie Fan, Rui Wang, Zhi Xiao, Yu Huang, Rui Liu, Mouhai Hunan Changsha410004 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Hunan Changsha410004 China

ISBN: (纸本)9798400716683

This paper establishes a portal middleware platform for multi-tenant environments that can support higher tenant density and reduce the cost of software management and maintenance. It analyzes the advantages of Docker containers compared with traditional virtual machines in running applications, and introduces the whole architecture of Docker containers. By virtue of the multi-level security container isolation mechanism to achieve effective isolation and management of resources, it can effectively protect the security and integrity of the shared data between containers, and establish a configuration file-based shared data volume security isolation scheme CMAC. realize the fine-grained access control and isolation of the shared data volume. Experimental results show that the defense posture assessment accuracy of the multilevel security container isolation method proposed in this paper reaches more than 92%, and the efficiency of network security defense posture assessment, is always above 87%. It shows that the proposed method can isolate the script virus in a timely and effective manner. © 2023 ACM.

关键词： Containers

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Traceability technology of DC Electric Energy Metering for On-Site Inspection of Chargers

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Energy Engineering 2023年第3期120卷 715-727页

作者： Hua Li Dezhi Xiong Zhi Wang Hunan Institute of Metrology and Inspection Changsha410018China State Grid Hunan Electric Power Corporation Limited Changsha410001China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410001China

The on-site inspection of high-power DC chargers results in new DC high-current measurement and DC energy traceability system *** paper studies the traceability technology of electric energy value for automotive high-power DC chargers,including:(1)the traceability method of the built-in DC energy meter and shunt of the charger;(2)precision DC high current and small precision DC voltage output and measurement *** paper designs a 0.1 mA∼600 A DC high current measurement system and proposes a 0.005 level DC powermeasurement traceability *** uncertainty evaluation experiment of theDC powermeasurement calibration system and the high-power DC charger’s on-site calibration experiment results verify the method’s effectiveness and feasibility in this *** experimental results show that the combined standard uncertainty of the DC power metering verification system can be 0.0451%.

关键词： DC electric energy measurement charger traceability calibration

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Online Monitoring Method for Metering Errors in Charging Facilities Based on Energy Conservation and Double Metering Comparison 6

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

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6th International Conference on Information Technologies and electrical Engineering, ICITEE 2023

作者： Yang, Jing Wu, Cong Wang, Zhi Liu, Chao Liu, Mouhai State Grid Hunan Electric Power Corporation Limited Changsha China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha 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. © 2023 ACM.

关键词： Piles

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Research on Comprehensive Performance Evaluation Method for On-site Operation of Electricity Information Acquisition Terminal 2

Research on Comprehensive Performance Evaluation Method for ...

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2nd International Conference on Laser, Optics and Optoelectronic technology, LOPET 2022

作者： Deng, Hanjun Guo, Guang Liu, Hongying Zeng, Taoming Peng, Pei Yin, Xiaobo Liu, Mouhai State Grid Hunan Electric Power Co. Ltd Hunan Province Changsha410000 China DHunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Hunan Province Changsha410000 China

ISBN: (纸本)9781510657588

Aiming at the problem of insufficient operation time and deviation of the equipment’s factory evaluation index, the comprehensive performance of the on-site operation of the electricity information acquisition terminal is evaluated and designed in this paper. The performance analysis of the acquisition equipment is completed through the combined device of the nuclear capacity device evaluation structure, and the cluttered information of the acquisition platform is integrated. Use the BF5R feedback line to transfer to the actual power station, responsible for the distribution of the transfer data and the feedback of the information. The DC decoupling improved algorithm is used to realize the billing system of equipment acquisition electric energy, which is used as an important index of the evaluation system. Through the IES VE software to simulate the performance evaluation process of the equipment, the experiment shows that the maximum collected power of the designed test equipment is 6351.6kWh, the effective operation time is 18.2h, and the accuracy of the evaluation index is 98.5%, which proves the feasibility of the design. © 2022 SPIE.

关键词： Software testing

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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...

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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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Direct Power Supply Identification Method of PV Power Based on Affinity Propagation Clustering 7th

Direct Power Supply Identification Method of PV Power Based ...

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7th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2022

作者： Deng, Hanjun He, Xing Huang, Rui Su, Yuping Zhang, Suihan Zeng, Wenwei State Grid Hunan Electric Power Company Limited Hu’nan Changsha410000 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Hunan Changsha410000 China

ISBN: (纸本)9783031317323

At present, the marketization of distributed photovoltaic power generation faces problems such as the trading model is still immature and the trading mechanism is complicated, which makes the management of distributed energy trading very difficult. In this paper, a direct power supply identification method based on affinity propagation (AP) clustering is proposed. First, the historical PV output data of the station or neighboring stations are used to obtain the output data of the "same type" PV arrays for reference. Then, the AP clustering algorithm is used to cluster the power generation data in the same temperature segment, and the PV power sources suspected of direct power supply are identified according to the corresponding relationship between the clustering results and the electricity sales state. Finally, the proposed method is verified by the actual operation data in a certain area. The simulation results verify the effectiveness of the proposed method for the identification of direct PV power supply, and provide a reference for the subsequent on-site inspection of power grid companies. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Clustering algorithms

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