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Microgrid System with Event Triggered distributed Secondary Control 4

Microgrid System with Event Triggered Distributed Secondary ...

引用

4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Rao, B. Chiranjeev Ralhan, Shimpy Shri Shankaracharya Technical Campus Department of Electrical Engineering Bhilai India Shri Shankaracharya Technical Campus Department of Electrical and Electronics Engineering Bhilai India

ISBN: (纸本)9798350343670

With ever increasing demand in power, there is a paradigm shift from integrated grids to microgrids to cater small communities or islands. Microgrids are the need of the hour as it is comprises of distributed generation, power converters, telecommunication and loads that are operated in an isolated network where they could be operated in island mode or by integrating to centralized grid. this paper presents a comprehensive analysis, and performance assessment of microgrid system with event triggered distributed secondary control. the mainfocus of this work is to study different problem associated with microgrids (MGs) and to minimize it by using event-triggered *** types of optimization technique and algorithm using event-triggered mechanism are discussed in details. Different event-triggered distributed model control scheme has been studied in this paper. © 2024 ieee.

关键词： distributed generators (DGs) distributed secondary control event-triggered control Microgrid

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Analysis of the Impact of distributed Photovoltaic Power Generation systems on Energy Measurement 4

Analysis of the Impact of Distributed Photovoltaic Power Gen...

引用

4th ieee international conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Yin, Xin Kai, Cuiying Wang, Xiaoyu Man, Jiangxue Li, Xinggang State Grid Heilongjiang Electric Power Co. Ltd. Marketing Service Center Harbin China

ISBN: (纸本)9798350361643

this paper conducts an analysis of the impact of distributed photovoltaic power generation systems on energy metering in the field of complex working conditions. We have completed mathematical modeling and analysis of photovoltaic power generation and three-phase photovoltaic grid connected inverters, with a focus on studying the principles of distributed power generation, verifying the stability and functionality of photovoltaic systems, analyzing the impact of complex working conditions on energy metering, providing technical support for upgrading existing energy metering technology, improving the ability of energy metering equipment to adapt to future complex working conditions, and laying a foundation for further research on the impact of complex working conditions on energy metering. © 2024 ieee.

关键词： Solar energy

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Evolution of Revolutionary CWSN from WSN 4

Evolution of Revolutionary CWSN from WSN

引用

4th international conference on Emerging systems and Intelligent computing, ESIC 2024

作者： Pal, Arpita Gayatri, G. Nandani, Raj Chatterjee, Pinaki Sankar Kiit University School of Computer Engineering Bhubaneswar India

ISBN: (纸本)9798350349856

Wireless sensor Networks(WSN) have always operated in the (Industrial Scientific and Medical) ISM spectrum range. there is no license for this ISM band. this ISM band is also used by numerous other technologies, such as Bluetooth, ZigBee, WiMAX, etc. this leads to a lot of traffic in this area. However, FCC data show that 90% of the time, many licensed frequency bands are left unused. For that the FCC introduced the idea of dynamic spectrum allocation in order to make better use of the licensed radio spectrum. In dynamic spectrum allocation the device can connect in underutilized portions of the spectrum by detecting open channels. Spectrum holes are the underutilized portions of the spectrum. CWSN uses dynamic spectrum allocation to boost spectral efficiency by nature. When there is a lot of traffic on its own network, the CWSN transmits data across the licensed user's spectrum band, preventing collisions and delays in data delivery. the state-of-the-art development in several aspects of CWSN, including deployment strategies, routing, security, energy efficiency, and potential application areas, have all been systematically studied in this paper. © 2024 ieee.

关键词： Wireless sensor networks

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AI-Driven Health Monitoring of distributed computing Architecture: Insights from XGBoost and SHAP 4

AI-Driven Health Monitoring of Distributed Computing Archite...

引用

4th international conference on Communication Technology and Information Technology, ICCTIT 2024

作者： Sun, Xiaoxuan Yao, Yue Wang, Xiaoye Li, Pochun Li, Xuan Mountain View United States Northeastern University PortlandME United States Western University LondonON Canada Northeastern University BostonMA United States Columbia University New YorkNY United States

ISBN: (纸本)9798331528973

With the rapid development of artificial intelligence technology, its application in the optimization of complex computer systems is becoming more and more extensive. Edge computing is an efficient distributed computing architecture, and the health status of its nodes directly affects the performance and reliability of the entire system. In view of the lack of accuracy and interpretability of traditional methods in node health status judgment, this paper proposes a health status judgment method based on XGBoost and combines the SHAP method to analyze the interpretability of the model. through experiments, it is verified that XGBoost has superior performance in processing complex features and nonlinear data of edge computing nodes, especially in capturing the impact of key features (such as response time and power consumption) on node status. SHAP value analysis further reveals the global and local importance of features, so that the model not only has high-precision discrimination ability but also can provide intuitive explanations, providing data support for system optimization. Research shows that the combination of AI technology and computer system optimization can not only realize the intelligent monitoring of the health status of edge computing nodes but also provide a scientific basis for dynamic optimization scheduling, resource management and anomaly detection. In the future, with the in-depth development of AI technology, model dynamics, cross-node collaborative optimization and multimodal data fusion will become the focus of research, providing important support for the intelligent evolution of edge computing systems. © 2024 ieee.

关键词： Electronic health record

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Self-Optimizing distributed Cloud computing with Dynamic Neural Resource Allocation and Fault-Tolerant Multi-Agent systems 4

Self-Optimizing Distributed Cloud Computing with Dynamic Neu...

引用

4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Tripura, N. Divya, P. Chaganti, Koushik Reddy Rao, Kota Venkateswara Rajyalakshmi, P. Naresh, P. Vignan Institute of Technology And Science Dept of Mba Hyderabad India University of the Cumberlands Dept. of Computer and Information Systems KY United States Andhra Loyola Institute of Engineering and Technology Dept of Cse Vijayawada India Tkr College of Engineering and Technology Dept of Cse Hyderabad India Dayananda Sagar University Dept of Cse Bangalore India

ISBN: (纸本)9798331529635

the exponential growth of distributed cloud systems necessitates an intelligent form of workload management that ensures optimum performance, scalability, and reliability. Traditional approaches based on static or heuristic resource allocation and fault-tolerance mechanisms cannot capture the dynamic nature of modern workloads and heterogeneous infrastructures. Drawing from this source of inspiration, this work develops a holistic framework integrating machine learning models that facilitate self-optimizing distributed cloud computing for dynamic workload management. three components are significant in the proposed framework: (1) DNRA;this uses a hybrid GNN and RL architecture for real-time resource allocation, offering up to 25% improvement in resource utilization and a 30% reduction in task latency. (2) Workload-Aware Transfer Learning Scheduler (WATLS), leveraging transfer learning to predict workload dynamics across heterogeneous nodes, achieving 20% higher task throughput and 15% energy savings through proactive scheduling. (3) Multi-Agent Predictive Fault-Tolerant System (MAP-FTS), combining multi-agent systems with predictive fault detection to preemptively redistribute tasks and schedule maintenance, reducing system downtime by 50% and enhancing fault detection accuracy to 90%. the framework integrates novel methodologies towards answering the main challenges of resource allocation, workload prediction, and fault tolerance. the amount of progress achieved through cumulative contributions includes improvement in system reliability and scalability up to 5x their nodes and respective scalable energy efficiency without any degradation of performance. this work paves the pathway for an adaptive and intelligent next generation of distributed cloud systems. © 2024 ieee.

关键词： distributed cloud

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A distributed Storage and Fusion Management Method of Massive Vehicle Multi-Source sensor Data 4

A Distributed Storage and Fusion Management Method of Massiv...

引用

4th international conference on Electronic Information Engineering and Computer Science, EIECS 2024

作者： Wang, Meng Ji, Yuan Qian, Junfeng Xia, Wei Ye, Haoting Guizhou Power Grid Co Ltd Guizhou China Co. Ltd Guangdong China The Chinese University of Hong Kong Shenzhen Shenzhen China

ISBN: (纸本)9798331531409

With the advancement of sensor technology, an increasing amount of multi-source vehicle sensor data has emerged, offering significant value in areas such as high-precision navigation and intelligent driving. In this article, a fused organization expression model for vehicle multi-source sensor data is proposed, name V-MSFOEM. Based on the V-MSFOEM and combined with a distributed database, query algorithms such as spatial nearest-neighbor point query, spatio-temporal range query, and fused point data based on interest sections are proposed. the public dataset KITTI is used to compare the proposed algorithm with the traditional query methods, and the experimental results demonstrate that the proposed algorithms exhibit higher query efficiency, providing flexible and efficient foundational data support for upper-layer applications. © 2024 ieee.

关键词： Structured Query Language

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Energy-Efficient Clustering in Wireless sensor Networks: A Multi-Objective Approach Using PSO and Fuzzy Logic 4

Energy-Efficient Clustering in Wireless Sensor Networks: A M...

引用

4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Sabaresan, V. thanigai Selvan, M. Rajkumar, S. St.Joseph's Institute of Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331529635

Energy efficiency is one of the biggest challenges in WSNs;typically, these networks are plagued with several problems such as uneven distribution of energy amongst nodes, hotspots, and clustering with big disparities. this work tries to some extent solve some of these problems through a prototype: Efficient Wireless sensor Network with Multi-Objective Clustering, or EEMOC, which is a new framework that exploits the power of Particle Swarm Optimization to realize optimal cluster head selection. In addition, it uses the FIS in the dynamic selection of a cluster radius to maximize its effectiveness in networking. EEMOC exploits the fuzzy logic benefits in governing uncertainty in data and optimizes the sizing of clusters, thereby controlling hotspots and optimizing the energy distribution scheme. Simulation results show EEMOC to be far superior to traditional clustering algorithms and may significantly extend the network lifetime with the utmost saving in energy under various operating conditions. the technique which integrates PSO with FIS provides a robust platform for improving WSN performance. © 2024 ieee.

关键词： Particle swarm optimization (PSO)

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Adaptive load scheduling method for distributed new energy power system operation 4

Adaptive load scheduling method for distributed new energy p...

引用

4th international conference on Smart Grid and Energy Internet, SGEI 2024

作者： Peng, Feijin Guo, Weibin Zhang, Wenjun Yao, Ruohao Che, Lei Guangdong Power Grid Co. Ltd. Foshan Power Supply Bureau Guangdong Foshan528000 China

ISBN: (纸本)9798350368314

this paper proposes an adaptive scheduling method for distributed new energy systems using cross-genetic PSO. It analyzes load changes, ensures independent prediction errors, and uses RBF-NN for data discretization. Experiments show improved energy efficiency, reduced errors, shorter scheduling time, and significant advantages. ©2024 ieee.

关键词： Adaptive scheduling Discretization processing distributed new energy Load clustering

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SDN-Based Reconfiguration of distributed and Cooperative Microgrid Control systems for Mitigating Synchronization Attacks

SDN-Based Reconfiguration of Distributed and Cooperative Mic...

引用

4th ieee Annual international conference on Cyber Security and Resilience (ieee CSR)

作者： Kpoze, Aurelie Lahmadi, Abdelkader Chrisment, Isabelle Degila, Jules Univ Abomey Calavi IMSP Dangbo Benin Univ Lorraine LORIA INRIA CNRS F-54000 Nancy France

ISBN: (纸本)9798350375367

Industrial Control systems (ICSs) are widely used in various industries, enabling the control and monitoring of critical infrastructures such as microgrids. In these infrastructures, distributed and cooperative control systems are commonly employed to synchronize set points through information exchange over communication networks. However, these systems are increasingly vulnerable to various security threats, particularly those targeting synchronization data. this paper proposes a network reconfiguration mechanism leveraging Software-Defined Networking (SDN) to mitigate synchronization attacks in distributed and cooperative microgrid control systems. We implement and evaluate our proposed mitigation algorithm using MiniCPS to show its efficacy in avoiding synchronization attacks within such distributed energy systems.

关键词： Industrial control systems microgrid synchronization attacks mitigation

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Elderly Fall Detection System Using mm-Wave Radar sensor 4

Elderly Fall Detection System Using mm-Wave Radar Sensor

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4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Joy, Jeslet John, Amalda theresa Anna Alex, Angel Nair, Adityakrishna S Sreesh, P.R. Manuel, Anto St Joseph's College of Engineering and Technology Dept. of Electronics and Communication Engineering Palai India

ISBN: (纸本)9798350343670

this project focuses on the implementation of an elderly fall detection system using millimeter-wave radar technology, prioritizing privacy preservation within indoor environments. By harnessing mm-wave radar, our system offers technical advantages over camera-based solutions. Radar operates in the radio frequency spectrum, ensuring privacy, as it does not capture visual data, addressing concerns regarding surveillance and consent. Technical aspects encompass mm-wave radar sensor deployment, signal processing algorithm development for fall detection, and real-time data analysis integration. Radar mitigates issues posed by low lighting, occlusions, and line-of- sight limitations common in camera-based systems. Additionally, machine learning enhances fall detection accuracy, reducing false alarms while maintaining high sensitivity. © 2024 ieee.

关键词： fall detection machine learning millimeter wave mm-wave Radar sensors Point Cloud radar sensor signal processing

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