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共 8979 条记录，以下是211-220 订阅

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Design and Implementation of New Energy Technology Innovation Panoramic Monitoring System Based on Big Data Mining and Knowledge Graph computing 2

Design and Implementation of New Energy Technology Innovatio...

引用

2nd IEEE international conference on Image Processing and Computer applications, ICIPCA 2024

作者： Zhou, Yuzhong Yang, Yuliang Lin, Jie Lin, Zhengping Shi, Jiahao Csg Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350360240

This paper proposes a new energy operation monitoring and analysis system design based on knowledge graph technology. With rich semantic representation ability and flexible structure, this paper constructs an effective carrier for computer cognition of information and knowledge in the physical world. The process of establishing knowledge graph of new energy operation monitoring and analysis is put forward. By studying the data sources of power grid operation and maintenance, the relationship between operation and maintenance is obtained. Then, an operating system health evaluation method based on fuzzy evaluation is proposed. The weights of each index are determined by the method of expert evaluation. The member function of abnormal alarm is constructed by combining the distribution function of triangle and step type. The experiment proves that the algorithm can reflect the actual operation condition well. The paper plays a certain role in promoting the reliability of the operation and maintenance of the new energy operation monitoring system. © 2024 IEEE.

关键词： Knowledge graph

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Research and Application on Anomaly Detection of Dynamic Baseline Performance Time Series Data Based on Machine Learning

Research and Application on Anomaly Detection of Dynamic Bas...

引用

2023 IEEE international conference on Image Processing and Computer applications, ICIPCA 2023

作者： Song, Ningxi Li, Wencui Liu, Boyu Zhang, Jing Niu, Binbin Jia, Jingli Henan Zhengzhou China State Grid Henan Electric Power Company Henan Zhengzhou China

ISBN: (纸本)9798350314670

Anomaly detection of dynamic baseline performance time series data is an important problem in data center and cloud computing. In order to solve this problem, an anomaly detection method based on machine learning for the time series data of dynamic baseline performance was proposed. Firstly, sliding window is used to extract data features, and a variety of machine learning algorithms are used for anomaly detection. At the same time, a method based on dynamic baseline is proposed, which can adjust the baseline adaptively and detect anomalies. Experimental results show that the proposed method can achieve good anomaly detection results in data center and cloud computing. © 2023 IEEE.

关键词： Anomaly detection

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Implement of Edge computing for Cyber-Physical System in the Smart grids Quasi-Real Time Control Context 12

Implement of Edge Computing for Cyber-Physical System in the...

引用

12th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and applications, IDAACS 2023

作者： Dombrovskyi, Mykhailo Dombrovskyi, Zbyshek Pashchuk, Ivan West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9798350358056

An increase in the number of power consumers leads to scale up a power supply grids, and the introduction of Smart grid (SG) for connecting components and subsystems of distributed generation, increases the complexity of the interaction configuration and, accordingly, grids control. At the same time, with peak loads cases, when there is a lack of power, the probability of big-scale fluctuations increases, which turns the energy system from deterministic to stochastic. Unpredictable manifestations of big-scale fluctuations spread in the form of a cascade of failures through the grid, which lead to the loss of reliability of the entire power grid. To simplify the controllability of complex big-scale power grids and prevent cascading failures in the supply of electric power, they are divided into a big number of microgrids. To increase observability and controllability, big-scale SGs are implementing innovative intelligent products and cyber-physical systems (CPS) that connect the virtual world with the world of things. CPSs allow to carry out instant monitoring and display of the states of power system components in large geographical areas, however, due to the concentration of control in the center, it does not ensure control efficiency in critical peak load times. Thus, it is important to increase the energy efficiency of smart grids, in particular by reducing power dispersion and increasing the flexibility, safety and reliability of energy supply. Such requirements lead to rethinking the structure of both the physical and cybernetic subsystems of the CPS, with which users and suppliers of energy resources interact. To meet these requirements, it is proposed to develop the structure of the CPS and improve computation based on the processing of 'instant data' with the use of edge computations in quasi-real time, in order to ensure an increase in the efficiency of a big-scale complex power networks control. © 2023 IEEE.

关键词： big-scale power grid cyber-physical systems edge computing instant data quasi-real time control smart grid

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Design of BDC for Multi-Level Inverter based VSI for ESS-STATCOM applications

Design of BDC for Multi-Level Inverter based VSI for ESS-STA...

引用

2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Afsher, P.A. Manoj Kumar, M.V. Apj Abdul Kalam Technological University Government College of Engineering Kannur Department of Electrical and Electronics Engineering Kerala India

ISBN: (纸本)9798350310573

This work introduces a new bidirectional converter for a voltage source inverter based on a multi-level inverter for an energy storage system static compensator application. The proposed BDC has the inherent property of balanced output voltage, low input current ripple, and high voltage conversion gain ratio with low component counts compared to the conventional BDC topologies. The different stages of the converter derivation have been explained, followed by the converter operation principle. Finally, with the aid of the simulation results, the operation of the proposed converter's design is validated. © 2023 IEEE.

关键词： Battery Bidirectional converter ESS-STATCOM low device count multi-level inverter

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Optimal Power Flow Calculation Based on SplitNN-DNN 1

Optimal Power Flow Calculation Based on SplitNN-DNN

引用

2024 1st international conference on Smart grids and Power Systems, ICSGPS 2024

作者： He, Xing Wei, Jie Yi, Zhihan Li, Xizhe Song, Rui Chan, Jian State Grid Hubei Marketing Service Centre Metering Centre Wuhan China Zhu Kezhen College Zhejiang University Hangzhou China Detroit Green Industrial College Hubei University of Technology Wuhan China State Grid Hubei Electric Power Co.LID State Grid Wuhan China

Optimal power flow computation in power systems is an important aspect to ensure the smooth operation of power grids, but there are some challenges in terms of computing speed and data privacy protection in traditional methods. To address these issues, this study proposes a new method based on SplitNN-DNN. Firstly, we use a deep neural network to design a model that directly maps load data to voltage results, thereby improving computational efficiency. Second, we introduce a longitudinal federated learning technique to enable model training without data breaches. Finally, we conducted validation experiments on IEEE 118 and IEEE 300 node systems, and the results show that this approach not only protects data privacy, but also approaches the traditional centralized computation methods in performance, and has potential for practical applications. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Data privacy

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A Brief Study on Cloud Security 14

A Brief Study on Cloud Security

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Ajith, Abhay Mathew, Adharsh S Remya, S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350335095

Distributed, parallel, and grid computing are all used in a kind of computing known as cloud computing. It serves as a flexible, affordable, and tried-and-true online delivery platform for IT services marketed to businesses or consumers. The outsourcing of critical services to external entities has become a common practice, and this trend has led to various challenges in ensuring the security and privacy of data, maintaining data availability and recovery, and ensuring compliance. Cloud computing, in particular, has added a new layer of complexity to these issues and has introduced additional risks. Cloud computing makes use of many different technologies. Additionally, it carries along its inherent security flaws. Customer access to networks, storage, servers, services, and applications is made possible by cloud technology thanks to how well the pay-per-use model's services function. Our main goal is to locate and connect these systems' weaknesses, threats, and remedies. © 2023 IEEE.

关键词： Cryptography

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Discuss the Technical Application of Cloud Data Center and Cloud Management Platform 13th

Discuss the Technical Application of Cloud Data Center and C...

引用

13th international conference on Frontier computing, FC 2023

作者： Li, Ming Cheng, Hang Dong, Xiaoling Yu, Dongbo Information and Communication Branch of State Grid Anhui Electric Power Co. Ltd. Anhui Hefei241204 China

ISBN: (纸本)9789819992980

Cloud data center and cloud management platform are the two most important technology applications of cloud computing. Cloud data center is a virtual data center built on the Internet. Users can use this virtual data center to store their information, conduct their business transactions, etc., without building a physical data center. In contrast, the cloud management platform is a service that allows users to manage and control their own resources in the cloud through application program interfaces (APIs). Introduced due to technological progress. Cloud computing can be defined as "providing computing services on demand, regardless of the underlying physical infrastructure". The cloud involves not only virtualized data storage, but also other services, such as application deployment and management. These services are provided by third-party providers through server networks located in different locations around the world. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Cloud computing

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Modeling of an off-grid Stand Alone Solar PV with Battery Backup System for an Isolated Rural Area

Modeling of an off-grid Stand Alone Solar PV with Battery Ba...

引用

2024 international conference on Innovation and Intelligence for Informatics, computing, and Technologies, 3ICT 2024

作者： Hossain, Md Ismail Islam, Riadul Begum, Shirin Rahman, Md Tanvir Hannan, Nasif Shufian, Abu Dept. of Electrical & Electronic Engg American International University-Bangladesh Dhaka Bangladesh Dept. of Electrical Engineering Lamar University TX United States Dept. of Industrial Engineering Lamar University TX United States

ISBN: (纸本)9798331533137

The increasing demand for renewable energy sources has driven significant advancements in solar PV technology. Stand-alone PV systems, which operate independently of the grid, are especially vital for remote areas where grid access is infeasible. This paper presents a performance analysis of an independent PV system featuring battery backup, leveraging Simulink for real-time monitoring and control. Integrating a PV array and a battery storage unit connected to a constant voltage single-phase AC supply, the system was implemented using MATLAB Simulink across seven distinct operating modes. The bidirectional DC-DC converter is designed to operate in buck mode for charging and boost mode for discharging. It is under the control of an advanced Battery Management System (BMS) to enhance efficiency and prolong the battery's lifespan. Notably, the system maintained a stable DC bus voltage of around 375 V, with minor initial fluctuations quickly stabilized, ensuring efficient power management with an overall efficiency exceeding 90% under varying environmental conditions. The system efficiency was increased by up to 25% by integrating various Maximum Power Point Tracking (MPPT) methods to deal with fluctuating irradiance levels. The real-time response, with mode transitions occurring under 200 msec, highlights its continuous and stable power delivery capability. The PV monitoring dashboard feature provides real-time parameter visualization and interactive control, allowing dynamic observation of mode transitions and demonstrating the capability to maintain stable operation and efficient power management under varying conditions. This study demonstrates a robust solution for stand-alone PV applications, ensuring efficient BMS and prolonged battery life. ©2024 IEEE.

关键词： Battery management systems

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Harmonics Mitigation of grid-Connected Solar PV using Dual Modified Reduced Order Generalized Integrator 4

Harmonics Mitigation of Grid-Connected Solar PV using Dual M...

引用

4th IEEE international conference on Smart Technologies in computing, Electrical and Electronics, ICSTCEE 2023

作者： Nema, Priyank Sivasankaran, V. Narendra Babu, P. Vit Bhopal University School Of Eee Sehore India

ISBN: (纸本)9798350384628

As the demand for electrical energy increases, fossil fuels are used due to lake of fossil fuels and environmental considerations, and to fill the future load demand non-conventional energy sources are used. among all non-conventional energy sources, solar PV is better because by using solar PV, direct sunlight can converted into electricity, and also, can place it in rooftop applications. When solar photovoltaic is connected to the electrical grid there are various power quality issues because of the non-linear characteristics of power electronics devices use in solar PV for changing generating DC electrical power into AC electrical power. In solar PV, the inverter itself works as a power conditioner, by controlling the pulse width of the IGBT which use in the inverter by PWM techniques can mitigate all the power quality issues occurring on the load side. In this paper, a dual modified Reduced order generalized integrator (DMROGI) control technique is used for inverter control which will be more capable mitigating of harmonics produced by non-linear load connections to the grid under balance and unbalance grid voltage condition. Simulation is done in MATLAB plate form. © 2023 IEEE.

关键词： Simulink

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Security Assessment Model for Blockchain Software and Hardware Fusion Device Based on Decision Tree Algorithm

Security Assessment Model for Blockchain Software and Hardwa...

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2023 international conference on Internet of Things, Robotics and Distributed computing, ICIRDC 2023

作者： Yang, Ke Sun, Shuang Lei, Mingyang Wang, Weiyu Pan, Xiukui State Grid Digital Technology Holding Co. Ltd. Beijing100077 China Co. Ltd. Beijing100077 China State Grid Blockchain Application Technology Laboratory Beijing100077 China

ISBN: (纸本)9798350375275

As the core hub for carrying various blockchain applications upstream and connecting network infrastructure downstream, blockchain infrastructure provides necessary storage, transmission, computing, development, and testing for the implementation of blockchain applications. This article attempts to propose a security evaluation model for blockchain software and hardware fusion devices based on decision tree algorithms. From the perspective of blockchain technology architecture, it fully reveals the security risks of evaluated blockchain projects for software and hardware fusion devices. It is necessary to conduct a comprehensive analysis of various technologies that affect the security risks of blockchain software and hardware fusion devices. By reusing the kernel through decision tree algorithm, a system chip that meets predetermined requirements can be quickly constructed, integrating processor modules and some commonly used functional modules. The research results indicate that the detection rate of the experimental group model is consistently higher than that of the traditional model. During the detection rate process, the average value of the experimental group is as high as 89.3%, which is much higher than the traditional model. Furthermore, the error detection rate curve remains at the lowest position, indicating the effectiveness of the proposed evaluation model. © 2023 IEEE.

关键词： Blockchain

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