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共 17242 条记录，以下是311-320 订阅

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Optimal Home energy Management System for a Residential grid-Connected Microgrid using Improved Slime Mould Algorithm 4

Optimal Home Energy Management System for a Residential Grid...

引用

4th ieee international conference on Recent Advances in Systems science and engineering, RASSe 2024

作者： Chen, Syuan-Yi Chen, Pin-Jung Chen, Chi-Cheng Wu, Chih-Ting Department of Electrical Engineering National Taiwan Normal University Taipei106 Taiwan

ISBN: (纸本)9798331528263

This study presents a home energy management system (HeMS) utilizing an improved slime mould algorithm (ISMA) for the efficient energy management of a residential grid-connected microgrid. The studied microgrid comprises a photovoltaic system (PVS), a battery storage system (BSS), two DC-DC converters, a DC-AC voltage source inverter (VSI), a YY three-phase transformer, and varying electricity loads. The proposed ISMA-based HeMS optimizes the power flow ratio among the PVS, BSS, and the utility grid, taking into account factors including load demand, battery’s state of charge (SOC), PVS power, time-of-use (TOU) electricity rates, feed-in tariffs, and the electricity costs of both battery and utility grid to minimize overall electricity costs. To achieve the control object, the system incorporates advanced power flow control (PFC) techniques for the voltage source inverter (VSI) and parallel converter system (PCS) within the microgrid. The performance of the ISMA-based HeMS is evaluated through experimental validation on a practical microgrid platform. Results indicate that the ISMA-based HeMS significantly reduces electricity costs compared to rule-based control strategy. © 2024 ieee.

关键词： Load flow control

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Campus grid: A Technological Solution for enhanced Coordination in Campus-Wide Activities 5

Campus Grid: A Technological Solution for Enhanced Coordinat...

引用

5th international conference on emerging Systems and Intelligent computing, eSIC 2025

作者： Jananee, V. Sakthilakshmi, M. Sivanantham, D. Rajalakshmi Engineering College Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (数字)9798331522100

ISBN: (纸本)9798331522100

Campus grid presents an innovative technical solution which is designed to enhance coordination across various campus wide activities. The educational institutions lack an integrated platform to coordinate various activities within the campus like managing academic schedules, events and collaboration. So there is a growing need for a unified platform which is used to foster seamless interaction among students, faculties and administrators. This project introduces a multi-functional website and mobile app to coordinate various activities. The key features of this project are event creation and sharing, attendance tracking, exam hall plan generator, classroom management and real time notifications for changes in academic activities. Furthermore, through this application the students can collaborate with each other and form study groups and discussion forums to clarify their doubts. The teachers can upload notes, create study plans, learning milestones and they can also track the progress of students. It also offers advanced features such as internship and job offer listings to make students aware of various opportunities available. The main motive of this platform is to coordinate various activities into one single platform such that it will be very useful for the users to manage. The potential impact of Campus grid not only within individual institutions but also promotes inter college collaboration and resource sharing thereby this application develops a more supportive community. © 2025 ieee.

关键词： Students

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Research on Performance Analysis Techniques for Parallel Program Optimization on Domestic CPU Architecture 5

Research on Performance Analysis Techniques for Parallel Pro...

引用

5th international conference on Information science, Parallel and Distributed Systems, ISPDS 2024

作者： Zhu, Sheng Zhou, Cheng Li, Weiwei Luo, Fucai Ji, Wen State Grid Smart Grid Research Institue Co. Ltd Beijing China

ISBN: (纸本)9798350352719

With the increasing use of high-performance computing, users are turning to programs for concurrent execution enhance the speed and overall performance of large-scale programs. This trend is supported through the use of a portable messaging interface (MPI), communication can be facilitated in a convenient and efficient manner. We employ the MPI-based performance analysis tool mpiP for evaluating program performance, focusing on a matrix multiplication model through numerous targeted experiments with a fixed number of processors. expanding the scale of the experimental use case matrix;fixing the scale of the matrix and scaling up the number of processors in order to clearly analyze the program performance and improve the performance analysis of mpiP. At the same time, the execution sequence detection and visualization functions are added in the improvement process. The mpiP report makes it easier for users to perform global performance analysis on the program. This not only improves the overall performance analysis efficiency, it also facilitates tracking the progress of individual processes throughout the program's execution. © 2024 ieee.

关键词： Parallel architectures

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Fuzzy Logic-based energy Management for WSNs in Smart grid Applications 4

Fuzzy Logic-based Energy Management for WSNs in Smart Grid A...

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4th international conference on Soft computing for Security Applications, ICSCSA 2024

作者： Vengatesan, K. Vijayalakshmi, R. Samee, Sayyad Chopade, Neha Mahalle, Shilpa Bashkaran, K. Department of AIDS Sanjivani University Kopargaon India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India Dept.of Computer Science Al Sadara School Al Ain Abu Dhabi United Arab Emirates SIES College of Management Studies India Kongunadu College of Engineering and Technology Thottiam India

ISBN: (纸本)9798331515720

Fuzzy Logic-Based energy Management (FLBeM) is an innovative approach for optimizing energy consumption in Wireless Sensor Networks (WSNs) utilized in Smart grid applications. This technique employs fuzzy logic principles to dynamically adjust network parameters, such as transmission power and data sampling rates, to enhance energy efficiency while maintaining reliable communication. By intelligently adapting to network conditions and environmental factors, FLBeM extends the operational lifetime of sensor nodes and ensures the stability of the WSN, thus facilitating real-Time monitoring and control of Smart grid systems. The proposed FLBeM approach encompasses a comprehensive framework that includes the design of fuzzy logic controllers, the development of energy-Aware routing protocols, and the integration of renewable energy sources for powering sensor nodes. Simulation results demonstrate significant improvements in energy efficiency, network lifetime, and overall performance, validating the effectiveness of the FLBeM strategy in the context of Smart grid applications. As energy management remains a critical concern for WSNs, the implementation of FLBeM offers a promising solution to address the challenges of energy conservation and sustainability in modern power systems. © 2024 ieee.

关键词： Smart power grids

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Development And Application of AI Chip-Based Power Vision edge computing for Ice Detection Device 3

Development And Application of AI Chip-Based Power Vision Ed...

引用

3rd international conference on electrical engineering and Mechatronics Technology, ICeeMT 2023

作者： Wang, Yu Xu, Changbao Xin, Mingyong Electric Power Research Institute of Guizhou Power Grid Co. Ltd Guizhou Guiyang550002 China

ISBN: (纸本)9798350303698

With the increased danger of snow and ice disasters on transmission lines, it is important to develop an edge computing-based device for identifying the degree of ice coverage on transmission lines. In this paper, an edge device based on AI chip that can realize ice coverage recognition is developed. The framework structure, R&D process, and system building process way of the edge computing module are introduced. At the same time, network lightweighting is achieved by model quantization. After data set experiments, it is shown that the edge computing device can realize the ice-cover degree recognition function of transmission lines. © 2023 ieee.

关键词： edge computing

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Intelligent Management Model for Two-ticket System of Power grid enterprise Safety Production by Big Data 3

Intelligent Management Model for Two-ticket System of Power ...

引用

3rd international conference on electronics and Information Technology, eIT 2024

作者： Huang, Chengwei Guo, Quan Zhang, Fayan Chen, Lingyi Li, Yongzhan Hezhou Power Supply Bureau of Guangxi Power Grid Co. Ltd China Hohai University College of Information Science and Technology Changzhou China

ISBN: (纸本)9798350369151

The smart power grid is crucial for modern energy systems, offering enhanced efficiency, reliability, and sustainability through advanced technologies. The two-ticket operations, i.e., work ticket and operation ticket, ensure safety and stability in grid management. However, traditional methods of managing these tickets face inefficiencies, errors, and safety risks, mainly due to the manual processes. With more complexity of the operations, these challenges still threaten the overall performance. This paper examines the application of big data analytics to optimize the management of grid two-ticket system. By leveraging predictive maintenance, real-time monitoring, and decision-making support, big data analysis can significantly improve the efficiency, safety, and reliability of smart grid operations. The integration of these technologies addresses the limitations of traditional methods and supports the evolution of more resilient and intelligent energy systems. © 2024 ieee.

关键词： Decision making

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Improving Fault Detection and Self-Healing in Smart grids Through UPS Integration and Microgrid expansion 10

Improving Fault Detection and Self-Healing in Smart Grids Th...

引用

10th international conference on Smart computing and Communication, ICSCC 2024

作者： Hosen, Md Sabbir Zhang, Hongxin Silmee, Sidratul Montaha Hasan Shamim, Md. Mehadi Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing100876 China Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing100876 China Daffodil International University Department of Electrical and Electronics Engineering Dhaka Bangladesh Indian Institute of Technology Madras Department of Energy Systems Tamil Nadu Chennai600036 India

ISBN: (纸本)9798350363104

This research proposes an innovative simulation-based model for fault detection and correction in a smart grid environment by the integration of UPS (uninterrupted power supply). This approach adopted the development of MATLAB codes to identify faults which were demonstrated as voltage drops in the simulation outputs. Following voltage drop, the grid manifested self-healing mechanism by restoring the voltage levels without any external interference. To further enhance the fault detection and correction ability of smart grids, this research investigated the integration of microgrid with the main grid in order to explore the UPS integration and Microgrid expansion simultaneously. The addition of microgrid to the main grid aimed to improve the self-healing mechanism after fault detection in smart grids by significantly reducing the time needed for the grid to normalize its voltage drop. This proposed model will thereby increase the overall reliability and efficacy of smart grid systems. The findings of this research highlight the potential benefits of integrating UPS in conjunction with microgrid network in a smart grid system. The proposed approach will eventually reduce the impact of faults leading to better performance and enhanced grid stability. The study contributes in the development of a self-sufficient and resilient smart grid system that can efficiently recover from operational challenges and fault occurrences. © 2024 ieee.

关键词： Power grids

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A Network Synthesis and Analytics Pipeline with Applications to Sustainable energy in Smart grid 19

A Network Synthesis and Analytics Pipeline with Applications...

引用

19th ieee international conference on e-science, e-science 2023

作者： Thorve, Swapna Kishore, Aparna MacHi, Dustin Ravi, S.S. Marathe, Madhav V. Biocomplexity Institute and Initiative University of Virginia CharlottesvilleVA United States Biocomplexity Institute and Initiative University of Virginia Dept. of Computer Science CharlottesvilleVA United States

ISBN: (纸本)9798350322231

Transitioning to clean and low-carbon energy is becoming a crucial goal for many entities in the energy systems sector such as governments, power utilities, and policymakers. This shift to clean energy is supported by a diverse portfolio of data products such as satellite data, smart meter data, power networks, green energy datasets (e.g., solar installations & electric vehicles), microgrid networks, and building stock data. Among these, network datasets are becoming increasingly common in addressing a wide array of issues in residential energy, especially in applications that focus on social good. Thus, streamlining the process of generating different types of networks will be helpful. In this work, we propose a versatile network synthesis and analytics pipeline developed using software design principles that make it modular, scalable, and extensible. Three case studies are presented to illustrate the significance of network data in sustainable energy applications. © 2023 ieee.

关键词： energy conservation

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Distributed computing and Data Processing Technology under the Power Data Middleware Architecture 3

Distributed Computing and Data Processing Technology under t...

引用

2023 ieee 3rd international conference on Data science and Computer Application, ICDSCA 2023

作者： Zou, Yuelin Shen, Jia Yin, Rui Guo, Jiangtao Guo, Yi State Grid Xinjiang Electric Power Co. Ltd. Information and Communication Company Urumqi830002 China State Grid Xinjiang Electric Power Co. Ltd. Urumqi830002 China State Grid Info-Telecom Great Power Science and Technology Co. Ltd Fuzhou350001 China

ISBN: (纸本)9798350341546

With the establishment and development of integrated monitoring platforms and communication information platforms for intelligent substations, the data volume of the power system is showing explosive growth. However, existing data centers have poor processing capabilities for massive amounts of data, making it difficult to meet the multiple service quality requirements of users. How to effectively manage massive and complex data, fully utilize the value of data, improve service quality, reduce operational costs, and achieve rapid response to users is an urgent problem to be solved. Therefore, based on the actual needs of power enterprises, this article proposed a cloud computing power data middleware architecture based on distributed technology, which effectively managed, cleaned, converted, and evaluated power data sources through cloud computing platforms. This article mainly analyzed the shortcomings of traditional power data processing platforms and the feasibility of cloud computing based power data platforms. Finally, through load balancing bias comparison and pressure testing experiments under different task numbers, it was proven that cloud computing systems outperformed traditional power data processing systems in terms of utility value, completion time, and load balancing. Moreover, in the pressure testing experiment, under the condition of 10 concurrent users and 673 system request transactions, 91.3% of the interface response time in the cloud computing system was within 50ms. Therefore, cloud computing systems have certain advantages in processing power data. © 2023 ieee.

关键词： Cloud computing Data Center System Data Processing Distributed computing electricity Data

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Optimization operation strategy of cyber physical system of micro-energy grid based on Petri net 6

Optimization operation strategy of cyber physical system of ...

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6th ieee international electrical and energy conference, CIeeC 2023

作者： Wu, Lizhen Gan, Xuan Wei, Jianping College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

ISBN: (纸本)9798350346671

Micro-energy grid is a typical cyber physical system (CPS), which combines energy physical entity and cyber computing unit. Aiming at the coordination optimization problem of cyber physical system of micro-energy grid, an optimization operation method of micro-energy grid based on Petri net is proposed in this paper. Firstly, the cyber physical system architecture of micro-energy grid is given. Secondly, taking the minimum operation cost and maximum utilization of clean energy as the objective function, the optimal scheduling model of micro-energy grid was constructed. Then multi-agent system and Petri net theory are used to determine the operation optimization strategy of the whole system according to the power load. Finally, the validity and correctness of the proposed method are verified by an example simulation analysis, which is of great significance for improving energy utilization efficiency and economic benefit. © 2023 ieee.

关键词： Petri nets

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