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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是41-50 订阅

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Research on network false information propagation control algorithm based on dynamic multi-objective optimization 3

Research on network false information propagation control al...

引用

3rd International conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Zhang, Minzi College of Communication Sichuan Conservatory of Music Chengdu610021 China

ISBN: (纸本)9781510680449

In the era of we-media big data and AIGC, various kinds of network false information emerge in an endless stream. How to effectively control the spread of false information and its variants in the Internet has become the focus of attention of network management agencies at all levels and new media in all walks of life. This paper starts with various models and methods to maximize the influence of network communication, studies the key nodes and critical paths in network information communication, and designs a dynamic multi-objective control optimization algorithm for false information propagation based on such key nodes and paths, so as to effectively control the spread of network false information in the Internet we-media era. By testing the influence of network communication of specified information, dynamic multi-objective optimization control algorithm can effectively reduce the penetration rate and propagation speed of false information. Practice has proved that the relevant propagation control algorithm has a remarkable inhibition effect on the network transmission of specific information, and the inhibition effect is more than 15% higher than that of other similar algorithms. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Multiobjective optimization

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Well control optimization using Smart Proxy Models 3

Well Control Optimization using Smart Proxy Models

引用

3rd EAGE Digitalization conference and Exhibition 2023

作者： Ghahfarokhi, A. Jahanbani Chaturvedi, A. Norway DNO Norge AS France

ISBN: (纸本)9789462824720

Optimal well controls to maximize the net present value (NPV) are usually obtained by coupling the numerical reservoir simulator with optimization algorithms. This approach requires significant number of simulations that are computationally expensive. Proxy models have a high capability to identify complex dynamic reservoir behavior in short time. This study proposes a methodology by developing smart proxy models (SPMs) using Artificial Neural network (ANN) for a synthetic field model to predict field production profiles. The method then integrates the established proxy models with Genetic Algorithm (GA) to solve the well control optimization problem. From SPM-GA coupling, the optimum well control parameters, namely bottom hole pressures of the injectors and producers are investigated to maximize NPV. The developed SPMs produce outputs within seconds, while the numerical simulator takes an average time of 30 minutes for the case study. SPM-GA coupling works well for well control optimization by finding BHP configuration that gives an increase of over 30% in NPV, and requires fewer simulations compared to the traditional approach. The results show that the established proxy models are robust and efficient tools for mimicking the numerical simulator performance in well control optimization. Significant reduction in computational time and resources is observed. © 2023 3rd EAGE Digitalization conference and Exhibition. All Rights Reserved.

关键词： Genetic algorithms

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Unleashing the Potential of IoT Integration for Energy optimization in Smart Homes 3

Unleashing the Potential of IoT Integration for Energy Optim...

引用

3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its control, PARC 2024

作者： Tiwari, Shivam Bhushan, Aditya Singh, Ashutosh Kumar Yadav, Rakesh Kumar United College of Engineering & Research Department of Mechanical Engineering Prayagraj India United College of Engineering & Research Department of Computer Science and Engineering Prayagraj India

ISBN: (纸本)9798350309409

This research paper explores the transformative potential of integrating Internet of Things (IoT) devices into smart home technologies, ushering in a new era of energy-efficient living. Focusing on energy optimization, the paper examines the intricate network of interconnected devices shaping efficient residential ecosystems. Beginning with an investigates specific devices such as smart thermostats and intelligent lighting systems. Through meticulous analysis of user behavior, it unveils how these devices influence and mold household energy consumption. Spotlighting data analytics, the paper reveals the power of information processing for personalized, efficient energy management. Addressing challenges like privacy and interoperability, it proposes innovative solutions for seamless IoT integration. The research concludes with an environmental assessment, emphasizing the symbiotic relationship between IoT and smart homes in fostering a sustainable and eco-friendly future. © 2024 IEEE.

关键词： Internet of things

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Zoning voltage coordination control method for high proportion distributed photovoltaic power in distribution network 3

Zoning voltage coordination control method for high proporti...

引用

3rd International conference on Energy and Electrical Power Systems (ICEEPS)

作者： Xue, Bing Ge, Yanfeng Li, Chuang Guo, Niankang Ma, Chenglian Huang, Dawei State Grid Liaoning Elect Power Co LTD State Grid Yingkou Power Supply Co Yingkou 115206 Liaoning Peoples R China Northeast Elect Power Univ Key Lab Modern Power Syst Simulat & Control & Ren Minist Educ Jilin 132012 Jilin Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The high penetration of distributed photovoltaic generation into distribution networks has become a major development trend in the future. However, the intermittency and random fluctuations of distributed photovoltaic output have exacerbated voltage violation and fluctuation issues in distribution networks. To address this problem, a distribution network zoning voltage coordination control strategy is proposed. In terms of zoning, voltage sensitivity index information obtained from daily power flow calculations is utilized to analyse and express the impact variation of photovoltaic generation on the voltage of each node. Based on the threshold requirements of voltage variation indices, the zoning of nodes is determined. In terms of zoning voltage coordination control, a strategy of voltage sensitivity control within the partition is adopted, pairing nodes within each partition and utilizing the active and reactive regulation capabilities of photovoltaic generation to control all over-limit voltage within normal range. Furthermore, through the interval distributed voltage coordination control strategy, the interval state variables are equivalenced, and based on the SADMM algorithm, the dynamic reactive power compensation amount between adjacent partitions is optimized to achieve the optimization and suppression of network-wide voltage fluctuations. Taking the IEEE 33-node system as an example, a case study was conducted to verify the effectiveness and feasibility of the proposed strategy in practical applications.

关键词： distributed photovoltaic distribution network zoning control voltage violation voltage fluctuation

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Research on Active and Reactive Power Coordination optimization of Active Distribution network Based on Shared Energy Storage 3

Research on Active and Reactive Power Coordination Optimizat...

引用

3rd International conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Lin, Qiyou Wang, Jie Wang, Pengcheng Chang, Tingting State Grid Wuhu Fanchang District Electric Power Supply Branch Wuhu China School of Electrical Engineering Anhui Polytechnic University Wuhu China

ISBN: (纸本)9798350382426

Aiming at the coordinated optimization of active and reactive power in Active Distribution network (ADN), this study establishes a coordinated optimization model based on shared energy storage in ADN. The improved NSGA-II algorithm and forward-backward method are integrated for solving, and comparative experiments are conducted with predefined scenarios, analyzed using the Hypervolume metric. Simulation results validate the effectiveness of the proposed strategy and method. Shared energy storage and optimization algorithms not only optimize network losses, improve voltage levels, and enhance power quality but also further optimize electricity costs, providing new insights for the optimization of ADN. © 2023 IEEE.

关键词： ADN coordinated optimization shared energy storage

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LDoS Attack Detection System Based on ACO-LightGBM 3

LDoS Attack Detection System Based on ACO-LightGBM

引用

3rd International conference on Artificial Intelligence and Computer Information Technology, AICIT 2024

作者： Li, Quli Cheng, Li Deng, Jialun School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350365443

Software Defined network (SDN) is a new architecture that separates the data layer from the control ***, this architecture of SDN is not enough to resist all denial of service attacks. For example, low-rate denial of service attacks (LDoS) are periodic, low-rate, and very hidden. To solve this problem, this paper designs a real-time attack detection system on the SDN architecture. LightGBM optimized by Ant Colony optimization (ACO-LightGBM) is a primary tool for LDoS attack detection, and Mininet is used to simulate the real LDoS attack environment. Experiments show that LightGBM optimized by ant colony algorithm has the best detection performance compared with several other classifiers. © 2024 IEEE.

关键词： Ant colony optimization

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Optimal Design of Distribution networks and optimization of control Parameters Based on the Intelligent Flexible Switch 3

Optimal Design of Distribution Networks and Optimization of ...

引用

3rd International conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Dong, Le Song, Feng Zhang, Xueqing Xiong, Dang Du, Yaoheng State Grid Yantai Power Supply Company Shandong Province Yantai264000 China

ISBN: (纸本)9798350318180

To meet the requirements for flexible control of power electronic equipment connected to the power network, this article compares topology results of the intelligent flexible switch, establishes the equivalent model of the intelligent flexible switch circuit, and equivalates the intelligent flexible switch to the special nodes and branches in the distribution network. At the same time, this paper establishes constraint conditions, establishes three indexes of intelligent flexible switch active power transmission, reactive power compensation and system network loss value, and verifies the performance indexes through the equivalent model of multi-port intelligent flexible switch circuit. Research results show that the proposed intelligent flexible switching control strategy can greatly improve the node voltage level and avoid tedious steps of the transformation from the original optimization model to the cone programming model. © 2023 IEEE.

关键词： distribution network intelligent flexible switch optimal design of distribution network optimization of control parameters

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D2D Underlay Cellular network optimization Using GA Considering OFDMA-ICI 3

D2D Underlay Cellular Network optimization Using GA Consider...

引用

3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its control, PARC 2024

作者： Osman, Nagy Alnajjar, Khawla A. Bansal, Ramesh C. University of Sharjah Department of Electrical Engineering College of Engineering PO Box 27272 Sharjah United Arab Emirates Higher Colleges of Technology Department of Electrical and Electronics Engineering Sharjah7947 United Arab Emirates University of Pretoria Department of Electric Electronic and Computer Engineering Pretoria South Africa

ISBN: (纸本)9798350309409

Direct transmission between devices is now possible due to the emergence of device-to-device D2D technology. The D2D communication underlay cellular network intends to take advantage of device proximity and hence, boost consumer bitrates, as well as offer the ability to improve system capacity and energy efficiency while decreasing end-to-end latency. However, D2D devices that underlay cellular networks are vulnerable to co-channel interference, which negatively impacting network performance. Another factor that could also affect network performance and reduce the quality of service is inter-carrier interference in the orthogonal division multiple access (OFDMA) system. Most research has concentrated on co-channel interference only. This study aims to optimize network performance in the presence of both co-channel interference and OFDMA inter-carrier interference (ICI)-based multicast D2D underlay cellular networks. In comparison to different optimization techniques, the simulation results show that the proposed genetic algorithm (GA) achieves a cumulative distribution function of 0.5 at a capacity of 70 Mbps, compared to 5.5 and 6.5 for the greedy search algorithm (GSA) and binary power control (BPC), respectively. It shows the capability of successfully maintaining high network performance. © 2024 IEEE.

关键词： Genetic algorithms

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Hierarchical Coordination of Inverter-based Voltage/Var control via Droop Function Optimizaton 3

Hierarchical Coordination of Inverter-based Voltage/Var Cont...

引用

3rd International conference on Power Systems and Electrical Technology, PSET 2024

作者： Zhou, Pei Wang, Bo Chen, Xingying Gan, Lei Yu, Kun Hua, Haochen Hohai University School of Electrical and Power Engineering Nanjing China

ISBN: (纸本)9798350353204

With the integration of large-scale photovoltaic (PV) power generation into the distribution network, its uncertain output can cause unexpected voltage fluctuation and may increase power loss, which seriously affects the operation of the network. To solve this problem, this paper proposes a hierarchical voltage/Var control (VVC) method that takes into account intra-day reactive power dispatch of PV inverters and real-time local control together via hourly optimization of inverter droop control functions. Firstly, a modeling method of a five-segment Q-V droop function is proposed. The bilinear constraints in this model could bring a large computational burden. Thus, based on a convex and concave procedure, they are relaxed and reformulated, forming a penalty convex-concave model. Moreover, a stochastic optimization method is adopted to deal with the uncertainty of PV outputs and loads. Then, in the real-time stage, the bus voltage is regulated locally by PV inverters based on the optimized droop model. The proposed hierarchical inverter-based VVC method is tested on a 33-bus network to verify its performance and high efficiency. © 2024 IEEE.

关键词： Stochastic systems

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Intent- Based network Management and Its Application Prospects in Smart Grids 3

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

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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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