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Power control Based on Deep Q Learning in Heterogeneous networks

Power Control Based on Deep Q Learning in Heterogeneous Netw...

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Information and Communication Engineering (JCICE), International Joint conference on

作者： Yingqi Zhao Jin Jin Tingting Yang Zhengzhou University Zhengzhou China

ISBN: (数字)9798350388725

ISBN: (纸本)9798350388732

Heterogeneous network is a promising solution to meet higher network capacity requirements and faster transmission rates. Under the spectrum-sharing strategy, the interference problem among user devices is a major factor affecting the network’s performance. Power control methods employing deep reinforcement learning are extensively utilized for interference management purposes. A previous study formulated a multi-agent power control algorithm utilizing deep reinforcement learning to tackle the sum-rate optimization problem within a fixed base station deployment scenario in heterogeneous networks. Specifically, the aforementioned research exclusively examined a specific scenario wherein the femto base stations are situated within the central coverage area of the macro base station. Inspired by the research, this paper considers the variation of femto base stations’ location and explores the impact of base station distribution on the sum-rate using deep Q learning algorithm. Simulation results show that the average sum-rate enhances with the increase of the sum distance between the macro base station and the femto base stations.

关键词： Performance evaluation Base stations Q-learning Simulation Power control Layout Interference Deep reinforcement learning Heterogeneous networks optimization

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Research on logistics dispatch algorithm based on ant colony optimization neural network 22

Research on logistics dispatch algorithm based on ant colony...

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3rd Asia-Pacific conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Zeng, Xiaojiao Hubei Three Gorges Polytechnic Yichang443000 China

ISBN: (纸本)9781450395786

Logistics dispatch mainly refers to the reasonable arrangement and scheduling of vehicles and personnel by the logistics company according to the weight, destination, specification and urgency of the goods to be delivered. The good logistics dispatch of logistics companies can quickly deliver the goods entrusted by customers to the receiver in time and in good condition. The shortest path problem and dynamic flow assignment problem in logistics dispatch are important links in the field of logistics dispatch system, optimization and control, especially in the analysis and optimization of logistics dispatch. In large-scale logistics dispatch network, the traditional algorithm can not meet the real-time requirements of logistics system. At present, the rapidly developing and increasingly mature intelligent algorithm provides a new way for the research and implementation of shortest path problem and dynamic flow assignment problem. In view of the above situation, this paper introduces Ant colony optimization (ACO). ACO is a new simulated evolutionary algorithm proposed in the s. The algorithm not only has excellent random search optimization ability and adaptive distributed computing characteristics, but also the ant path optimization process is very similar to the vehicle path selection process. Therefore, this paper studies the use of ACO to solve the shortest path problem and dynamic flow assignment problem in logistics dispatch. For the shortest path problem, an adaptive ACO is designed. For the dynamic assignment problem, based on the existing dynamic assignment model and the characteristics of ACO, a discrete dynamic user optimal assignment model is established. Experiments show that the improved algorithm is reasonable and effective, which provides a new idea and method to solve such problems, and has certain theoretical reference and application value. © 2022 Association for Computing Machinery. All rights reserved.

关键词： Ant colony optimization

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Research on Frequency control and optimization of Power Grid Auxiliary Load for Diversified Vehicle network Interaction

Research on Frequency Control and Optimization of Power Grid...

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Energy Engineering and Power Systems (EEPS), International conference on

作者： Jinxi Dong Jianzhong Qin Long Ling Xiaoming Lin Peilu Chen Feng Meng Liuzhou Power Supply Bureau of Guangxi Power Grid Co. Ltd. Liuzhou China Electric Power Research Institute of CSG Guangzhou China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

With the transformation of global energy structure and the rapid development of intelligent transportation system, the interaction between power grid and vehicle network has become a research hotspot. Especially the popularization of electric vehicles (EVs) and the progress of smart grid technology play a key role in maintaining the stable operation of power grid, optimizing energy distribution and improving the reliability of power system. The purpose of this study is to deeply discuss the frequency control and optimization of auxiliary load in power grid under the background of diversified vehicle-network interaction, and put forward effective control strategies through analysis and research. The research methods include establishing a fusion model of power grid and vehicle network, proposing an auxiliary load control strategy based on vehicle battery and fleet scheduling, and using MATLAB/Simulink for simulation analysis. Through simulation analysis, the effectiveness of the proposed strategy is verified, including adjusting the charging and discharging behavior of EV to stabilize the power grid frequency, optimizing the dispatching plan of bus fleet to improve the power grid frequency stability and so on. It is of great theoretical and practical significance to study the frequency control and optimization of auxiliary load in power grid for diversified vehicle-network interaction. The strategies and methods put forward in this study not only help to improve the stability and efficiency of power grid, but also help to promote the further development of intelligent transportation system and contribute to the realization of energy saving, emission reduction and sustainable development goals.

关键词： Fluctuations Power system stability Power grids Stability analysis Batteries Sustainable development Frequency control optimization Load flow control Intelligent transportation systems

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Predictive adaptive protection scheme for relay co-ordination of directional overcurrent relay using Student Psychology based optimization

Predictive adaptive protection scheme for relay co-ordinatio...

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Power Electronics & IoT Applications in Renewable Energy and its control (PARC), 2020 International conference on

作者： Gurpreet Kaur Bedatri Moulik K. Uma Rao Deptt. of Electrical and Electronics Engineering Amity University Noida UP India Amity Institute of technology Amity University Noida UP India Deptt. of Electrical and Electronics Engineering R.V College of Engg Banglore India

The novel Predictive Adaptive Protection Scheme (PAPS) presented in this paper addresses the coordination issues related to Directional Overcurrent Relays (DOCRs). Coordination becomes more difficult when renewable energy sources (RES) are integrated into the distribution grid because the on/off states of distribution generators (DG) alter the topology of the grid. These modifications affect short-circuit currents, which impairs dependability and causes protection relays miscoordination. In order to mitigate this, Directional Overcurrent Relay (DOCR) settings are optimised by Student Psychology Based optimisation (SPBO), which is essential for managing the propagation of bi-directional fault currents, the overall relay response time should be minimised. Considering various operational scenarios of distributed generators (DGs) in the grid, the successful performance of the suggested Protection Scheme (PAPS) in coordinating DOCRs is verified through the incorporation of the IEEE 14-bus distribution network.

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Day-ahead reactive-voltage optimization for active distribution network with energy storage 3

Day-ahead reactive-voltage optimization for active distribut...

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3rd International conference on Electrical Engineering and control Technologies, CEECT 2021

作者： Huang, Guozheng Wu, Hongbo Feng, Zhihua Ding, Yong Wang, Jinghua Guangdong Power Grid Company Jiangmen Power Supply Bureau Jiangmen China Shan Dong Kehui Electric Power Automation Co. Ltd Zibo China

ISBN: (纸本)9781665440417

With the fast-growing of distributed generators (DGs) in the distribution network, voltage control becomes more difficult, especially for the day-ahead reactive-voltage control. Moreover, it cannot be applied in practice if too many operations need to be performed by operators. Hence, this paper formulates the problem of day-ahead reactive-voltage control for a distribution network with photovoltaic and energy storage, which combines the network reconfiguration with the reactive resources in the distribution networks. The multi-period reactive optimization model with the minimizing adjustment cost of active network loss and node voltage deviation is constructed. Compared with the traditional reactive power optimization model, this model aims to make full use of PV inverters, reactive power compensation devices, and energy storage devices to realize day-ahead voltage control. A two-stage methodology is presented to solve the proposed problem. First, the network topology with the minimal number of reconfiguration in a day with the objection of minimizing the line loss is solved. Then, for each hour, the output of reactive power, including PV inverters and static var compensators and energy storage devices for each hour is solved. The effectiveness of the proposed methodology is verified on the IEEE 33-node power system. © 2021 IEEE.

关键词： Voltage control

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

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

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Information Technology,Big Data and Artificial Intelligence (ICIBA), International conference on IEEE International conference on

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

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.

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Minimization of Computational Error by Using optimization Power Transmit via Lagrange-Duality Method in Wireless Channels

Minimization of Computational Error by Using Optimization Po...

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Innovation in Technology (ASIANCON), Asian conference on

作者： Rahul Mishra Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

The use of optimization techniques in power transmission has been gaining importance over the last decades. With the advance of technology, optimal power systems have been proven to be much more efficient than conventional ones. These power systems minimize computational errors due to their optimization strategies like dynamic programming, genetic algorithms, discrete optimization, and fuzzy logic. This helps in reducing cost and allows for the implementation of intelligent power flow control. Furthermore, the optimization techniques provide an effective method for calculating the optimum power distribution and regulating voltage. Furthermore, optimization power systems help to increase the safety of power distribution and reduces the need for human intervention in critical electricity networks. As a result, it can reduce overall operational cost as well as improve overall power reliability. Additionally, optimal power transmission systems also help decrease inappropriate use of energy, reduce cost of engineering, and improves the network reliability.

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

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

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Cloud Computing, Big Data Applications and Software Engineering (CBASE), International conference on

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

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

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.

关键词： Intelligent networks Reviews Processor scheduling Focusing Standardization Dynamic scheduling Smart grids Software defined networking optimization Software engineering

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Research on Deployment Methods of SDN Heterogeneous controllers in Cloud-network Collaboration

Research on Deployment Methods of SDN Heterogeneous Controll...

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Information and Communication Engineering (JCICE), International Joint conference on

作者： Jin Li Zhichao Lin Zhuangguan Yang Gang An Qi Sun Shenyang Aerospace University Shenyang China Liaoning Planning and Design Institute of Posts and Telecommunications Shenyang China State Grid Liaoning Electric Power Co. Ltd. Information and Communication Branch Shenyang China

ISBN: (数字)9798350388725

ISBN: (纸本)9798350388732

Aiming at the problem that the access network, backbone network and data center cloud heterogeneous controllers cannot communicate with each other in cloud network collaboration under the Software Defined network (SDN) architecture, this paper introduces a super controller into the control layer of the SDN architecture to communicate with each domain. Heterogeneous controllers are interconnected to control the access network, backbone network and data center cloud to achieve cloud-network collaboration. And by improving the clustering algorithm, the optimal position of each controller in the SDN architecture is obtained. First, by abstracting the network topology into an undirected graph, the multi-controller deployment problem in the network is abstracted into the shortest path problem of the undirected graph, and the cloud network collaboration and the location of the deployed switches are modeled, and the K-means algorithm is used to determine the domain. The initial location of the controller and the switch that the domain controller is responsible for connecting to. An appropriate fitness function is formulated, considering the minimization of latency, while the optimal placements of domain controllers and super controllers are determined through the utilization of the particle swarm optimization (PSO) algorithm.

关键词： Shortest path problem Data centers Software algorithms Collaboration Clustering algorithms Computer architecture Delays Software defined networking Particle swarm optimization Propagation delay

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High-speed Mobile Real-time Topology optimization of Amorphous Flattened Air-to-ground Wireless Self-organizing network Nodes Based on Dynamic Planning 3

High-speed Mobile Real-time Topology Optimization of Amorpho...

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3rd International conference on Electronics and Communication;network and Computer Technology (ECNCT)

作者： Wang, Zhifang Yu, Jianguo Shangjing Beijing Univ Posts & Telecommun Sch Elect Engn Beijing Key Lab Work Safety Intelligent Monitorin Beijing Peoples R China

ISBN: (数字)9781510652118

ISBN: (纸本)9781510652118;9781510652101

To address the topological instability in the amorphous flat air-ground wireless self-organizing network caused by the high-speed movement of the network nodes, this paper adopts the 802.15.4 protocol as the basis of research, and uses dynamic planning in optimal control theory to backpropagate and optimize the directional steering angle of the mobile trajectories of the air and ground self-organizing nodes, so as to maximize the elimination of the wireless signal coverage blind area and enable as many self-organizing nodes as possible to form a stable, effective and reliable self-organizing network topology. This can maximize the elimination of wireless signal coverage blind areas and enable as many selfassembling nodes as possible to form a stable, effective and reliable self-assembling network topology. The simulation results show that by using the dynamic planning strategy, the optimized steering angle of the moving trajectory direction corresponding to the self-grouping nodes at different moving speeds can be obtained, and the sum of squares of the steering angles of the instantaneous moving trajectory direction of the optimized nodes can be obtained. The experimental results show that three fixed ground self-grouping nodes, one vehicle self-grouping node and one air self-grouping node are used to test the topology of high-speed mobile self-grouping network, and the five nodes can finally form a stable and effective self-grouping network topology.

关键词： Amorphous flat air-to-ground self-organizing network High-speed mobile Dynamic planning Moving track direction steering angle Wireless signal patching

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