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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211-220 订阅

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Power Quality Monitoring Point Configuration of Distribution network based on Dung Beetle optimization Algorithm Considering Panoramic Perception 3

Power Quality Monitoring Point Configuration of Distribution...

引用

3rd International conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Shou, Shaoan Luo, Hairong Zhang, Renhe Ji, Tao Liu, Quan Su, Liqian Wuzhong Power Supply Company State Grid Ningxia Electric Power Co. Ltd China Electric Power Research Institute State Grid Ningxia Electric Power Co. Ltd China State Grid Ningxia Electric Power Co. Ltd China Shanghai Jiao Tong University China

ISBN: (纸本)9798350303698

In recent years, a large number of distributed power sources have been connected to the power grid, and harmonic pollution has become increasingly serious. The premise of harmonic control is to monitor harmonics. Reducing costs and improving accuracy while ensuring that the system is fully observable has become a new challenge. In this paper, considering the observability and redundancy of harmonic state estimation, combined with the judgment basis of the measurement device, the optimal configuration model of the measurement device is established, and the measurement configuration scheme is obtained by using the dung beetle optimization algorithm. The scheme with the highest redundancy is selected for error analysis, which proves the feasibility and effectiveness of the scheme. © 2023 IEEE.

关键词： Redundancy

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optimization of network Graph for Minimal H2Consensus Error 3

Optimization of Network Graph for Minimal H2Consensus Error

引用

3rd International conference on control Theory and Applications, ICoCTA 2023

作者： Ding, Yanling Peng, Hui Qi, Tian Chen, Jie Department of Electrical Engineering City University of Hong Kong Hong Kong School of Automation Guangdong University of Technology Guangzhou China School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9781839539824

This paper concerns the optimization problems of consensus performance over network graphs. We assume the firstorder unstable agents interconnected by an undirected graph, and coordinated by a state feedback protocol where agents are subject to inter-agent delays. In particular, the minimization of H2 consensus performance has been investigated, which amounts to optimizing the H2 norm of the transfer function. By incorporating key graph constraints, we show how the network may be optimized by distributing the graph Laplacian eigenvalues, so as to improve the consensus performance. © The Institution of Engineering & Technology 2023.

关键词： State feedback

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Research on reactive voltage control strategy for substations connected to photovoltaic systems 3

Research on reactive voltage control strategy for substation...

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2024 3rd International conference on Energy Utilization and Automation, ICEUA 2024

作者： Ma, Zhenliang Liu, Junwei Jiang, Jingxuan Zhejiang Rongda Electric Power Engineering Co. Ltd. Hangzhou311400 China Xuchang Xuji Software Technology Co. Ltd. Xuchang461000 China

The reactive voltage control of conventional substations is mainly realized by adjusting the switching of capacitors or reactors and changing the transformer ratio, which can only be controlled discretely. The PV inverter can carry out continuous reactive power control, and the reactive voltage control strategy of the conventional substation does not consider the reactive power control of the PV. In this paper, the nine-zone diagram control strategy of the traditional substation is used as a reference, and the reactive voltage optimization control strategy of a substation with a photovoltaic power generation system is constructed considering the characteristics that photovoltaic inverter can continuously regulate reactive power. Taking the internal power grid of an enterprise as an example, the simulation analysis verifies the effectiveness of the control strategy, which can ensure that the voltage and power factor of the grid-connected access point are qualified. At the same time, the voltage fluctuation of the grid-connected point can be reduced, and the network consumption can be reduced. © Published under licence by IOP Publishing Ltd.

关键词： Reactive power

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Research on Micro-electric network Management and control Technology to Enhance Distributed Energy Absorption Capacity 3

Research on Micro-electric Network Management and Control Te...

引用

3rd IEEE International conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Zhang, Ronghua Zhang, Jingui Lv, Xuezhi Kou, Chunlei Wang, Qingli State Grid Binzhou Power Supply Company Binzhou China

ISBN: (纸本)9781665490788

Based on the analysis of the characteristics of the user-side microgrid, the principles of energy storage capacity and power allocation in the microgrid are summarized. Through the analysis of the output of the photovoltaic power station, the goal function of maximizing user income is established by using the characteristics of the energy storage system to track the output of the photovoltaic power, and the power balance requirements of the power generation system, the state of energy (SOE) constraints of the distributed energy storage system The power and capacity constraints of the distributed energy storage system adopt the linear decreasing inertia weight particle swarm optimization algorithm, aiming to seek the micro-electric network management and control strategy under the existing constraints, and enhance the distributed energy absorption capacity. © 2023 IEEE.

关键词： Energy storage

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Research on Intelligent Energy Management of Fuel Cell Vehicle 3

Research on Intelligent Energy Management of Fuel Cell Vehic...

引用

3rd IEEE International conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Yang, Tian Wei, Songmao Wang, Zilong Li, Jiashuai Yu, Peiliang China Automotive Technology & Research Centre Co. Ltd Department of Electrical & Electronic Control Development Tianjin China

ISBN: (纸本)9781665472784

With the development of fuel cell technology, how to effectively reduce hydrogen consumption of fuel cell vehicles has become a technical focus and difficulty. This paper proposed an adaptive energy management algorithm which was suitable for fuel cell vehicles. First, the ECMS algorithm considering the durability of the fuel cell was established. In order to ensure the good performance of the ECMS algorithm, an equivalent factor optimization model was established, which adjusted the equivalent factor according to the changes of battery SOC and future velocity. Considering that in the actual driving environment, it was impossible to accurately obtain the upcoming driving velocity in the future. Therefore, it was hard to quickly adjust and select the equivalent factor. This article established a neural network velocity prediction model, and the predicted velocity were provided to the equivalent factor optimization model, and the adaptive energy management algorithm was accomplished. Simulation results showed that the adaptive algorithm reduced hydrogen consumption by 2.6% compared to the basic ECMS algorithm, while battery SOC was in a suitable wording window. © 2023 IEEE.

关键词： Adaptive algorithms

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SynergyWave: Bandwidth Splitting and Power control in Integrated Access and Backhaul networks 59

SynergyWave: Bandwidth Splitting and Power Control in Integr...

引用

59th Annual IEEE International conference on Communications (IEEE ICC)

作者： Rahman, Aisha B. Chen, Yie Sheng Tsiropoulou, Eirini Eleni Papavassiliou, Symeon Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA Natl Tech Univ Athens Sch Elect & Comp Engn Athens Greece

ISBN: (纸本)9781728190549

Integrated Access and Backhaul (IAB) networking paradigm and the use of mm-wave technology have emerged as key enablers for the deployment of B5G/6G systems. In this paper we introduce the SynergyWave framework that empowers the IAB nodes and the users to independently optimize their transmission power levels, while simultaneously the IAB nodes perform optimal bandwidth splitting across the access and backhaul links. The key objective of SynergyWave framework is the enhancement of the energy efficiency of each participating entity in a decentralized and autonomous manner. Exploiting the channel modeling framework established by the 3rd Generation Partnership Project (3GPP) for mm-wave networks, we initially model the achievable data rate for both the access and backhaul links in the IAB network. Subsequently, a two-stage energy efficiency optimization problem is formulated and treated based on a Stackelberg game theoretic approach. In particular, it models and optimizes resource allocation in mm-wave IAB networks, determining optimal bandwidth splitting and uplink transmission power levels for IAB nodes and their users. The SynergyWave framework is assessed via modeling and simulation, and the obtained numerical results demonstrate that substantial energy efficiency improvements can be achieved for both users and IAB nodes.

关键词： Bandwidth Splitting Power control mm-wave communications Integrated Access and Backhaul Game Theory

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Performance degradation monitoring method of predictive control based on improved weighted DSVDD 3

Performance degradation monitoring method of predictive cont...

引用

3rd International conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Xie, Zhangcheng Li, Lijuan College of Electrical Engineering and Control Science Nanjing Tech University Nanjing211816 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

The operation data of the predictive control system is nonlinear, sequential and dynamic. The implicit nonlinear transformation of the traditional support vector data description (SVDD) cannot represent the timing and dynamic characteristics of the operation data of the control system. To solve this problem, this paper proposes a predictive control performance degradation detection method based on weighted Deep-SVDD. First of all, the target optimization function of SVDD is redefined based on the architecture of deep neural network, and the Deep-SVDD monitoring model is constructed using the extracted deep features. Secondly, the concept of sliding windows is introduced in view of the difference in sensitivity of deep features to predicted performance degradation of control systems. Using dynamic data from the window to weight the impact of sensitive features to highlight system performance degradation and construct a weighted Deep-SVDD monitoring model. Finally, the algorithm implementation process is theoretically deduced. The effectiveness of the proposed method is verified by the simulation of Wood-Berry distillation tower predictive control system. © 2023 SPIE.

关键词： Deep neural networks

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Fuzzy prediction-based intelligent tracking algorithm for source load of distribution network 3

Fuzzy prediction-based intelligent tracking algorithm for so...

引用

3rd International conference on Advanced Algorithms and Neural networks, AANN 2023

作者： Huang, Wenqi Cao, Shang Liang, Lingyu Zhao, Xiangyu Zhang, Huanming Li, Hanju Digital Grid Research Institute China Southern Power Grid. Guangzhou510663 China

ISBN: (纸本)9781510668355

The current conventional source-load intelligent tracking algorithm of distribution network mainly realizes active power control by calculating the regulation amount of output power, which leads to poor tracking effect due to the lack of intra-day scheduling optimization of distribution network. In this regard, the fuzzy prediction-based distribution grid source-load intelligent tracking algorithm is proposed. The multi-scenario technology is used to model the power output of distribution network power devices and the power load, and build the tracking scenario model;the intra-day optimization model is built, and the MPC control method is combined to realize the control of the power output and load situation of the distribution network;finally, the power fluctuation index is introduced to characterize the source-load tracking situation. In the experiments, the power control performance of the proposed method is verified. The experimental results show that the maximum power fluctuation value is low when the proposed method is used for source-load tracking, and it has a better power control performance. © 2023 SPIE.

关键词： Electric power distribution

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Optimal Management of Multi-Area System Incorporating Wind Power Across Varied Climatic Conditions using Firefly optimization Methodology 3

Optimal Management of Multi-Area System Incorporating Wind P...

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

作者： Kumar, Prince Kumar, Kunal Kumar Bohre, Aashish Adhikary, Nabanita Nit Electrical Engg. Department Assam Silchar India Nit Electrical Engg. Department WB Durgapur India Nit Electrical Engg. Department Odisha Rourkela India

ISBN: (纸本)9798350318180

Increased randomness in climatic condition due to global warming has stressed researchers to prepare the technology for harsh weather condition. In this paper wind power plant under different climatic conditions is considered for testing the resiliency of proposed power network with proposed controller. An intelligent controller hybridized with firefly optimization technique has been proposed in this paper which is helpful in enhancing the robustness of system in tackling the unknown random weather on proposed hybrid power system. In this paper, a uniquely designed fitness function i.e. ITMWAE (Integral of Time multiplied Magnified Weighted Absolute Error) is proposed for evaluating the performance of proposed power system with wind power plant. Proposed work in the current paper has been processed with the help of MATLAB/SIMULINK tool. © 2023 IEEE.

关键词： Climate FFO Firefly FOPID Generation control Challenges ITMWAE Wind Power

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Optimizing Energy Efficiency and network Performance in Smart Street Lighting Systems Using LoRaWAN Technology 3

Optimizing Energy Efficiency and Network Performance in Smar...

引用

3rd IEEE International conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024

作者： Sivakumar, S. Jayanth, R. Mughesh Kumar, N.R. Srm Institute of Science and Technology Dept. of Comp. Sci. and Engineering Specialization in Artificial Intelligence and Machine Learning Tamil Nadu Tiruchirapalli India

ISBN: (数字)9798350361186

ISBN: (纸本)9798350361186

This paper presents a groundbreaking Smart Street Lighting System utilizing LoRaWAN technology to overcome the challenges of scalability, energy inefficiency, and communication limitations inherent in older smart street technologies. The system employs seamless, long-range communication for real-time monitoring, adapting to dynamic urban environments, and achieving a balance between energy conservation and public safety. Advanced components, including a Passive Infrared (PIR) sensor and microwave motion sensor, enhance object detection and urban safety. A unique feature of the system is its ability to automatically dim the street lights to 1/4th intensity when no object is detected, while instantly adjusting to full brightness upon object detection. Furthermore, the incorporation of a response factor ensures accurate detection and swift response to communication disruptions. Notably, the system achieves an outstanding 70% energy savings through optimized lighting and dynamic remote control, significantly contributing to the evolution of intelligent and energy-efficient street lighting solutions in smart city infrastructures. © 2024 IEEE.

关键词： Smart city

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