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A Hybrid Quantum-Classical Machine Learning Approach to Offshore Wind Farm Power Forecasting 13

A Hybrid Quantum-Classical Machine Learning Approach to Offs...

引用

13th international conference on Renewable Energy Research and applications

作者： Hangun, Batuhan Akpinar, Emine Oduncuoglu, Murat Altun, Oguz Eyecioglu, Onder Yildiz Tech Univ Comp Engn Dept Istanbul Turkiye Yildiz Tech Univ Dept Phys Istanbul Turkiye Bolu Abant Izzet Baysal Univ Comp Engn Dept Bolu Turkiye

ISBN: (纸本)9798350375596;9798350375589

Wind energy holds a significant position among renewable energy sources. Wind turbines generate electricity by harnessing wind power, and wind farms, typically consisting of several turbines, are commonly employed. The location of wind farms can greatly influence the efficiency of the energy produced. Offshore wind farms, in particular, offer various advantages over onshore installations. In a well-optimized energy production process, the integrity of the grid structure enhances the operational efficiency of wind energy. Therefore, accurately predicting the energy output of wind farms is critical. While classical machine learning (ML) approaches, such as regression and deep learning, are widely used for wind power forecasting, these methods often require large datasets and substantial computational power. Although parallel computing methods can help improve performance, they are typically limited in scope. In contrast, quantum computing represents a new computational paradigm, offering advantages in natural parallelization and efficient data processing. This paper proposes a hybrid quantum-classical model for power forecasting of offshore wind farms. In the proposed model, a quantum neural network is employed as a feature extractor, while support vector regression performs the forecasting task. This study marks one of the initial steps in exploring the opportunities offered by quantum computing beyond classical methods in wind power forecast. The results demonstrate the applicability of quantum-classical hybrid models to computationally intensive problems such as energy production.

关键词： Wind energy forecasting Quantum computing Hybrid quantum-classical models Offshore wind farms

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A Programmable computing Power Network Forwarding and Scheduling Method Based on SRv6 2

A Programmable Computing Power Network Forwarding and Schedu...

引用

2nd international conference on Mobile Internet, Cloud computing and Information Security (MICCIS)

作者： Qiu, Yuxiang Chu, Fangcheng Lu, Yang Gan, Lan State Grid Elect Power Res Inst Beijing Peoples R China

ISBN: (纸本)9798350389913;9798350389906

With the rapid development of science and technology, the demand for computing service resources in various industries is increasing. At the same time, catalyzed by new technologies such as 5G, AI, cloud computing, and big data, richer and more complex information data is produced. In order to cope with the changes in the current development of informatization, computing power networks emerged as the times *** with traditional networks, computing power networks can more accurately select appropriate computing power service resources for users, and can provide the best routing path based on the status of the network in real time. For now, computing power networks still face three major issues: first, how to select the best computing resources for users, second, how to plan routing paths to meet user needs, and finally, how to achieve efficient and accurate forwarding. In response to the challenges faced, this paper proposes a programmable computing power network forwarding and scheduling method based on SRv6 technology. It first selects the best computing power service resources for users by using the user satisfaction function S. Secondly, the OSPF routing algorithm and network forwarding cost indicators are used to calculate the best routing and forwarding path for users. Finally, based on the selected best path, SRv6 segment routing technology is used to achieve accurate, efficient, and low-latency forwarding.

关键词： computing power network OSPF routing protocol SRv6 Programmable network

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Intent- Based Network Management and Its Application Prospects in Smart grids 3

Intent- Based Network Management and Its Application Prospec...

引用

3rd international conference on Cloud computing, Big Data Application and Software Engineering, CBASE 2024

作者： Han, Qiuqi Zhang, Yi Tong, Kunrui Xu, Xin Lu, Yao State Grid Jibei Information and Technology Company Beijing China

ISBN: (纸本)9798331506582

This article provides a review of the application of intent-driven networks in smart grids, suitable for domestic journals focusing on review or prospective articles. Firstly, the article introduces the concept of intent-driven networks and their enhancement based on Software-Defined Networking (SDN), emphasizing the shift from network control to adaptive management. It then reviews the requirements of smart grids for intelligent network management, discusses the role of SDN in the evolution of smart grid communications, and briefly outlines relevant research. Finally, it explores potential applications of intent-driven networks, including dynamic resource scheduling, integration with edge computing, fault detection and self-healing, energy efficiency optimization, and standardization issues, offering new perspectives for optimizing management in smart grids. © 2024 IEEE.

关键词： dynamic resource scheduling edge computing requirements Intent-Based network smart grid Software-Defined Networking

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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...

引用

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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Research on Key Technologies of Intelligent Detection of Substation Equipment Based on Cloud Edge Collaboration 24

Research on Key Technologies of Intelligent Detection of Sub...

引用

2024 international conference on Computer Vision and Deep Learning, CVDL 2024

作者： Chang, Ke Zheng, Min Wu, Chunpeng State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798400718199

The traditional manual inspection has some problems, such as strong subjectivity, time consuming and poor efficiency. With the remarkable progress of artificial intelligence, advanced communication and other technologies, and the wide application of deep learning models, the intensity of daily work has been reduced, but at the same time, new problems have been created. At present, the memory and computing power of the terminal hardware are limited, and when the model is deployed to the terminal side, the processing efficiency of the model is slow and the accuracy is low due to the limited hardware conditions. Aiming at the limited memory and computing power of the edge hardware, the lightweight network structure and model compression strategy are studied, and a channel structured pruning algorithm is proposed. A lightweight deep learning network model based on structured pruning of VGG-16 model was constructed. Experiments show that the optimized pruning model can obtain the same detection performance as the original model, and can reduce the size of the model by about 55.3% and increase the speed of 33FPS when the average accuracy mAP is lost by 8.1%, which provides effective support for the intelligent detection of substation equipment. © 2024 ACM.

关键词： computing power

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Research on communication mechanism optimization based on distributed graph computing environment 4

Research on communication mechanism optimization based on di...

引用

4th international conference on Big Data Economy and Information Management, BDEIM 2023

作者： Lin, Jianchao Cao, Chunna Ren, Chunhui State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798400716669

In recent years, with the rapid development of the Internet of Things, the Internet, and social networks, the storage of data in the network is growing at an explosive rate and is becoming more and more closely related to the real natural world. Driven by large-scale data mining and machine learning applications, distributed graph computing models that use graph data structures to describe data and relationships between data have been increasingly widely used. Therefore, this paper studies the optimization of communication mechanisms based on a distributed graph computing environment. Firstly, a BSP model based on a pure message-passing communication mechanism of a distributed graph computing system is established. Secondly, the optimization model is evaluated from two aspects: data communication and convergence condition judgment. Finally, large-scale data sets are used to test and evaluate performance optimization. The results show that this method can greatly improve the efficiency of graph parallel computing. © 2023 ACM.

关键词： BSP model Distributed Graph Computation Distributed system Graph processing Parallel computing

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Graph computing and Graph Database applications In Power System Online Dispatch 12

Graph Computing and Graph Database Applications In Power Sys...

引用

12th international conference on Renewable Power Generation, RPG 2023

作者： Wang, Yishen Wei, Renjie Lin, Siyan Tang, Zhuang State Grid Laboratory of Grid Advanced Computing and Applications Beijing China State Grid Smart Grid Research Institute Co. Ltd. Beijing China

In the new types of power systems, characterized by the dominance of renewable energies, uncertain resources such as wind and solar power will play a significant role in power generation. However, the inherent unpredictability and fluctuation of these renewable sources make the operating conditions complex and variable. To address this, intelligent online dispatch applications that integrate optimization and artificial intelligence techniques need to be implemented. In terms of online dispatch, estimating system states and optimizing resources require computing a large number of variables while adhering to operating constraints. Graph computing and graph database technologies have shown promising results in power system online analysis. This paper analyzes the applications of these graph computing techniques to enhance online dispatch and provides a graph computing based-grid online analysis architecture. This architecture offers a range of online situational awareness applications and decision-making support. © The Institution of Engineering & Technology 2023.

关键词： Information management

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Edge computing based An Efficient Lightweight authentication protocol for Smart grid communication

Edge computing based An Efficient Lightweight authentication...

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2023 international conference on Computer, Electronics and Electrical Engineering and their applications, IC2E3 2023

作者： Choudhary, Sachin Kumar, Abhimanyu Kumar, Krishan Nit Uttarakhand Dept. of CSE Uttarakhand Srinagar Garhwal India Nit Kurukshetra Dept. of Computer Engineering Haryana India

ISBN: (纸本)9798350338003

A smart grid is a smart electrical power grid system that have smart meter, service provider, control centre and cloud centre. The smart grid gives number of advantage over power grid like data security, improved reliability, computerized data monitoring and an effective power consumption system. However smart grid have these advantages, but also the smart grid also faces certain security challenges that require attention. One of the key problems is that the data provided by smart metres is constantly changing and cannot handle excessive delay in an SG. There is also a security issue between the cloud centre and smart meter, which should be addressed. Edge computing, an extension of cloud computing, is a solution to these challenges and it can be implemented between a smart meter and a cloud centre. Paper presented, the proposed protocol is a lightweight authentication protocol that is based upon edge computing that can be used in an SG to address security challenges and ensure reliable communication between the cloud centre and the smart meters. © 2023 IEEE.

关键词： Edge computing

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Intelligent grid Edge computing Application Research Utilising the Internet of Things (IoT)

Intelligent Grid Edge Computing Application Research Utilisi...

引用

2023 international conference on Data Science and Informatics, ICDSI 2023

作者： Hu, Yueshen Luo, Xiaohang Zhu, Youwei Dali Bureau of China Southern Power Grid Extra High Voltage Transmission Company Yunan China

ISBN: (纸本)9798350341560

IoT-based smart grids, as a cutting-edge research direction in the energy field, have sparked extensive interest and research. In this context, As an emerging computing paradigm, edge computing presents new opportunities for smart grid implementation and optimisation. The purpose of this research is to investigate the implementation of peripheral computation in IoT-based smart infrastructure and its potential value and impact on power systems. In this study, we begin by introducing the fundamental concepts of IoT-based smart grid and edge computing, before describing their relationship and the function of edge computing in smart grid. Subsequently, we concentrate on specific smart grid application areas for peripheral computation. Including energy management, load balancing, fault monitoring, and real-Time data analysis. By applying in these areas, edge computing can provide real-Time data processing and decision support to achieve efficient operation and optimized management of power systems. Further, this study explores the challenges and opportunities presented by edge computing applications. We analyze the problems that edge computing may face in terms of data security, communication delay, and resource allocation, and propose corresponding solution strategies. At the same time, we emphasize the innovation and sustainability of edge computing applications in smart grids, providing new ideas and methods for the future development of power systems. Finally, this study summarizes the advantages and prospects of edge computing applications in smart grids based on IoT, and proposes directions for future research. © 2023 IEEE.

关键词： Internet of things

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Multi-Scenario Quantum Key Distribution Mechanism for Power grid Terminals 12

Multi-Scenario Quantum Key Distribution Mechanism for Power ...

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12th international conference on Information Systems and computing Technology

作者： Dai, Hua Sun, Xin Lv, Bang Wang, Hongyan Tong, Liang State Grid Zhejiang Elect Power Co Ltd Hangzhou Peoples R China Anhui Jiyuan Software Co Ltd Hefei Peoples R China

ISBN: (纸本)9798350379860;9798350379877

The smart grid relies on information and communication technology to enhance capabilities and electricity management, with information technology aimed at safeguarding the power grid. However, despite leveraging modern communication systems, the smart grid still faces various security challenges. In this paper, we present our work on implementing quantum key distribution (QKD) in the smart grid. Unlike previous approaches, we designed and evaluated separate wired and wireless key distribution mechanisms to securely distribute keys to the terminals. Our experimental results verified that the bit error rate (BER) of the wired key distribution is below 1.5%, and the code rate exceeds 3 Mbps when the transmission distance is less than 10 km. Additionally, we analyzed the performance of wireless key distribution mechanisms. Through theoretical analysis and application scenario evaluation, we demonstrated the feasibility of using QKD to ensure the security of the smart grid.

关键词： smart gird key distribution mechanism grid applications

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