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A Cross Spatial Risk Model for Energy Internet Based on Machine Learning Algorithms

A Cross Spatial Risk Model for Energy Internet Based on Mach...

引用

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

作者： Wang, Shengwei Liu, Wen Zhang, Yujie Li, Xiang Liao, Rongtao Information & Communication Branch of Hubei epc. Hubei Wuhan430000 China State Grid Hubei Electric Power Co. Ltd. Hubei Wuhan430000 China

ISBN: (纸本)9798350375275

This article aims to study the problem of risk identification and assessment in the energy internet, using Machine learning (ML) based methods to construct a risk identification and assessment model, and verifying its accuracy and efficiency through experiments. The results show that the model has a high accuracy in the three risk categories of equipment failure, network security, and data security, reaching over 90%. The accuracy rates for natural disasters and technological risks are relatively low, at around 80% and 75%, respectively. And it has a shorter prediction time when predicting the risk labels of new data. Compared with traditional risk assessment methods, the risk identification and assessment model based on ML algorithms has higher accuracy and efficiency. Based on these experimental results, it can be concluded that the risk identification and assessment model constructed in this article can effectively identify various risk factors in the energy internet, and has the ability to quickly respond to risk events in practical applications. It provides useful reference and support for risk prevention and control of energy internet, and provides direction and improvement ideas for subsequent research. © 2023 IEEE.

关键词： Internet of Energy

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Investigation of Renewable Energy Integration Challenges and Condition Monitoring Using Optimized Tree in Three Phase grid System 7

Investigation of Renewable Energy Integration Challenges and...

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Shah, Naila Haque, Ahteshamul Amir, Mohammad Kumar, Anil Advanced Power Electronics Research Lab Dept. of Electrical Engineering Jamia Millia Islamia India Government of India India

ISBN: (纸本)9781665464086

The stochastic nature of distributed renewable energy resources (DREs) poses many operational and technical challenges in integrating renewable energy resources. Voltage instability is one of the challenges due to integration of renewable energy resources in which the supply is less than the demand of energy at the distribution side. The major challenge associated with integration of renewable energy resources is the islanding scenario which needs to be addressed. In this paper, an efficient and accurate machine-learning algorithm is developed for the islanding detection and classification process. For this purpose, simulation and compilation perform on a 12kW grid-connected photovoltaic (PV) model in Typhoon Hardware-in-Loop (HIL) simulator in which data is extracted for low voltage ride through (LVRT) grid fault. Furthermore, this data is trained with the proposed machine-learning algorithm for the islanding classification mechanism. The proposed Optimizable Decision Tree (O-DT) technique has a training accuracy of 99.7% and can efficiently predict islanding classification with a speedof about 14000obs/sec. © 2023 IEEE.

关键词： Decision trees

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Analysis of Hadoop Security Mechanism Based on Kerberos Security Model Optimization

Analysis of Hadoop Security Mechanism Based on Kerberos Secu...

引用

2024 international conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Liang, Yingwei Zhu, Taipeng Liu, Chenghui Chen, Yue Yang, Yufei Csg Guangdong Power Grid Co. Ltd. Information Center Guangdong Guangzhou510000 China

ISBN: (纸本)9798350369212

Hadoop is a distributed computing framework, which was originally designed to process large-scale data sets. However, with the wide application of Hadoop in enterprises, its security has become more and more important. Kerberos is a network authentication protocol, which is used to provide secure authentication services. Hadoop's integration with Kerberos can provide it with a powerful security mechanism. However, with the wide application of Hadoop in enterprise environment, the basic security mechanism relying solely on Kerberos can no longer meet the increasingly complex security requirements. Therefore, this paper proposes an optimization model of Hadoop security mechanism based on Kerberos to improve the overall security of Hadoop cluster. The experimental results show that the security of Hadoop cluster has been significantly improved by implementing these optimization measures. Therefore, the research in this paper has important theoretical and practical significance for promoting the development and improvement of Hadoop security mechanism. © 2024 IEEE.

关键词： Authentication Protocol

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High-Fidelity Validation with Smart grid Modelling Complexity: Considerations on Emerging Solutions 14

High-Fidelity Validation with Smart Grid Modelling Complexit...

引用

14th IEEE international conference on Communications, Control, and computing Technologies for Smart grids, SmartgridComm 2023

作者： Azim, Syeda Mayesha Feng, Zhiwang Syed, Mazheruddin Burt, Graeme University of Strathclyde Department of Electronic and Electrical Engineering Glasgow United Kingdom Energy Advisory Wsp Glasgow United Kingdom

ISBN: (纸本)9781665455541

The continued integration of increased volumes of distributed energy resources and flexibility services into power networks across the world is introducing increasing complexity into system operations. With the growing number and dimensions of complexity, modelling of smart grids for simulation is becoming more demanding. In particular, achieving high-fidelity validation of such complex cyber-physical systems is growing in importance and in scale of challenge. Coordinated real-time simulation across multiple platforms, termed geographically distributed simulations (GDS), paves a new pathway for high-fidelity validation of large-scale smart grids. Furthermore, the integration of cloud solutions enables efficient initialization of simulations and ensures secure data communications among GDS participants. This paper provides a comprehensive overview of different types of real-time simulation concepts and explains how they can best be utilized to realize GDS with enhanced computational capability. Subsequently, this paper summarizes the applicability of GDS, specifically emphasizing on cloud-based GDS, to facilitate high-fidelity validation of complex smart grids. © 2023 IEEE.

关键词： Smart power grids

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Identification of Related Factors of Users' Power Consumption and Prediction Model of Power Consumption Based on Random Forest Algorithm

Identification of Related Factors of Users' Power Consumptio...

引用

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

作者： Zhu, Zheng Xiao, Shuang Zhang, Ruijia An, Bailong State Grid Shanghai Electric Power Company Shanghai200122 China

ISBN: (纸本)9798350375275

Given the characteristics of big data associated with power consumption prediction, such as numerous types, vast volume, high dimensionality, and rapid generation speed, we propose a method for subspace clustering analysis of extensive user electricity characteristics after studying the evaluation indicators of user electricity traits. This method aims to extract various power consumption patterns among users. Users are categorized into groups based on their different power consumption patterns, and a mutual information matrix is utilized to identify factors related to power consumption within these user groups. These factors encompass regional and industry economic data, climatic conditions, and electricity prices, leading to the development of a big data prediction model for power consumption. This approach effectively discerns pertinent factors influencing power consumption across various user groups and mitigates the adverse effects of disparities in power consumption models on prediction accuracy. Simulation results validate the high predictive accuracy of this method, making it suitable for extensive big data analysis and processing. © 2023 IEEE.

关键词： Electric power utilization

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Power Intelligent Operation and Maintenance System

Power Intelligent Operation and Maintenance System

引用

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

作者： Ou, Yuan Yan, Zhuo Xie, Tianxiang Xi, Ning Xie, Huan Hu, Xinyue Aostar Information Technologies Co. Ltd. Chengdu610095 China State Grid Sichuan Electric Power Company Tianfu New District Power Supply Company Chengdu610014 China Information and Communication Company in Sichuan Electric Power Company Chengdu610000 China

ISBN: (纸本)9798350375275

This paper studies an intelligent operation and maintenance system for power equipment, including measurement module, display module, signal acquisition module, RS485 bus, integrated measuring instrument, communication module, switch, firewall, operation and maintenance server, SMS sending server, database server, speaker, measurement module, display module, signal acquisition module are respectively connected to RS485 bus, RS485 bus is connected to integrated measuring instrument, the integrated measuring instrument is connected with the communication module, which is connected to the operation and maintenance server through the firewall and switch;The SMS sending server and database server are connected to the switch through the network cable;The speaker is connected to the operation and maintenance server. This paper has the positive effects of safe operation, simple maintenance, high operation and maintenance efficiency and high power supply reliability. © 2023 IEEE.

关键词： Maintenance

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Fuzzy Based Perturb & Observe MPPT Algorithm for grid Tied PV System

Fuzzy Based Perturb & Observe MPPT Algorithm for Grid Tied P...

引用

2023 IEEE international conference on distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2023

作者： Jayachitra, G. Vidya, H.A. Reddy H.r, Sudarshan Sinha, Ruma Global Academy of Technology Department of Eee Karnataka Bangalore India Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Eee India University B.D.T. College of Engineering Karnataka Davangere India

ISBN: (纸本)9798350340129

Due to limited reserve capacity, shoot up of generation prices and environmental concerns, interest in renewable energy is growing as a substitute energy source to traditional fossil fuels. To excerpt extreme power output from a photovoltaic scheme an effective "Maximum Power Point Tracking"System is essential. The global research community is investigating all options for efficient energy conversion from freely available renewable energy sources. A comparative analysis for four MPPT algorithm has been carried out and a new hybrid method is proposed which involves fuzzy logic regulator and perturb and observe technique. All the algorithms have been investigated in MATLAB SIMULINK environment and a detail study have been carried out. The proposed technique precisely senses the MPP and can quickly trail it in existence of irradiance variations. © 2023 IEEE.

关键词： Maximum power point trackers

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Research on Digital System of Collaborative Cycle Integration Information Transformation in Electric Power Enterprises 3

Research on Digital System of Collaborative Cycle Integratio...

引用

3rd international Signal Processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Bin, Kong State Grid Zhejiang Electric Power Co. Ltd. Xiangshan County Power Supply Company Ningbo China

ISBN: (纸本)9798350307023

The stage model and operation mode of enterprise private cloud platform construction are developed, and the architecture of collaborative cycle integration system of power enterprises is designed. The platform implements integrated management, standardized supply and automated operation of various computing resources such as host, storage device, network, database, middleware and application software. It provides strong support for standardized construction and lean management of information construction of power grid enterprises. Practice has proved that the integrated and collaborative distributed cloud management platform across data centers can enhance the scalability, scalability and flexibility of information resources, improve the ability and efficiency of information technology operation and maintenance management, and improve the business response ability and service mode level. © 2023 IEEE.

关键词： Scalability

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An Integrated and Optimized Fog computing enabled Framework to minimize Time Complexity in Smart grids 6

An Integrated and Optimized Fog Computing enabled Framework ...

引用

6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Nag, Rohan Samantraj, Adhinayak S. Mishra, Sushruta Sharma, Vandana School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneswar India Computer Science Department Delhi NCR India

ISBN: (纸本)9798350304480

A distributed computing paradigm known as 'cloud computing'works as a connection between IoT devices and cloud data centres. The environment system model in this work is on basis of clouds and fog and includes smart grids, which we explore. Prior to understanding the use of fog computing in smart grids we discuss about various features of cloud computing and talk about how to manage the connection between fog and cloud computing. Along with the usual performance of low latency, low cost, and high intelligence, the distinctive characteristics and service scenarios are also explored. Based on the outcome of the simulation, it appears that our suggested PSO-SA algorithm outperforms other optimization algorithms. It recorded a least mean response time of 3.86 seconds only. While the model build up delay was 4.6 seconds, the model execution delay was also found to be only 4.9 seconds with PSO-SA method. The improved efficiency of the technique can be credited to the best aspects of particle swarm optimisation (PSO) and a modified inertia weight obtained by simulated annealing. © 2023 IEEE.

关键词： Cloud computing Edge computing Fog computing Smart grid

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Realizing Digital Product Passports with Crowdsourcing Principles: The Case of Sustainable Smart grids 19

Realizing Digital Product Passports with Crowdsourcing Princ...

引用

19th Annual international conference on distributed computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023

作者： Voulgaridis, Konstantinos Lagkas, Thomas Karampatzakis, Dimitris Argyriou, Vasileios Sarigiannidis, Panagiotis International Hellenic University Department of Computer Science Kavala Campus Greece Kingston University Department of Networks and Digital Media Kingston upon Thames United Kingdom University of Western Macedonia Department of Electrical and Computer Engineering Kozani Greece

ISBN: (纸本)9798350346497

Due to constant technological advancements, Smart grids have the potential to significantly reduce energy consumption, while providing efficient energy management. However, their implementation requires a thorough collection of data related to procedures of energy generation and distribution, as well as the inclusion of Circular Economy (CE) principles to ensure sustainability. Considering the impact of Industry 5.0, Digital Product Passports (DPPs) are a sufficient solution for the recording, presentation, and circularity of the respective data, combined with suitable crowdsourcing strategies for the integration of real-time data provided by consumers. This paper explores the potential implementation of DPPs, infused with crowdsourcing principles, for smart grid integration, through the design of a fundamental CE framework, which is further supported by a systematic literature review and a reference use- case scenario of its operational flow. © 2023 IEEE.

关键词： Smart power grids

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