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检索条件"任意字段=Power Engineering and Automation Conference"

共 54679 条记录，以下是31-40 订阅

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Dynamic Partitioning Technology of Regional Chain for power Trading System 7

Dynamic Partitioning Technology of Regional Chain for Power ...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Shan, Guanxia Chen, Xiuli Cai, Rongyan Qian, Xiaorui Xiao, Kai Pan, Shuchen State Grid Fujian Elect Power Co Fuzhou 350003 Fujian Peoples R China

ISBN: (纸本)9798350377040;9798350377033

In the power trading system, the traditional centralized management model faces problems such as security, transparency and efficiency. This paper further understands and explains the blockchain dynamic partitioning technology, which can improve the performance and security of the power trading system. First, this paper builds a blockchain architecture and implements smart contracts and transaction rule definitions on the Ethereum platform to automatically execute processes. Then, this paper designs a dynamic partitioning mechanism, analyzes the characteristics of transaction data, uses the K-means algorithm to partition transaction data according to frequency and node load, continuously monitors node status in real time, and dynamically adjusts the partitioning mechanism to balance the load. After that, an event-driven model is used to trigger adjustments every time a transaction occurs so that the system can respond quickly to changes. Experimental results show that by using this technology, the system can reach 624TPS, and the transaction confirmation time remains at a baseline level of 0.8 seconds. Blockchain dynamic partitioning technology brings innovative solutions to the power trading system and effectively addresses the challenges brought by the existing system.

关键词： power Trading System Blockchain Technology Dynamic Partitioning Smart Contract

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Research on Multi Objective Planning Model of Distributed Photovoltaic in Distribution Network Based on Electromagnetism-like Mechanism Algorithm 7

Research on Multi Objective Planning Model of Distributed Ph...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Li Wensheng Zhong Hongshi Wang Kun Wei Zhen Duan Xingyu State Grid Qingdao Jimo Power Supply Co Qingdao 266200 Shandong Peoples R China Qingdao Elect Power Co Qingdao 266002 Shandong Peoples R China Qingdao Univ Sch Elect Engn Qingdao 266071 Shandong Peoples R China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040;9798350377033

The multi objective planning Model of distributed photovoltaic in distribution network is constructed in this paper, and the objective functions include the comprehensive cost during the planning period and the comprehensive vulnerability index of the power grid. The model is solved by the electromagnetism-like mechanism algorithm. The advantages of the electromagnetism-like mechanism algorithm lie in its simple optimization mechanism, fast response speed, and easy implementation. Using the IEEE 33-node distribution system as a reference, the merits of the suggested algorithm and the validity of the constructed model are confirmed through simulation experiments.

关键词： multi objective planning model distributed photovoltaic electromagnetism-likemechanism algorithm distribution network

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Research on Intelligent power Allocation Algorithm for Electric Vehicle Charging Pile 7

Research on Intelligent Power Allocation Algorithm for Elect...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Cui, Jin Shandong Vocat Coll Ind Zibo Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes an intelligent power allocation algorithm for electric vehicle charging piles based on RL. The algorithm adjusts the power output of the charging pile in real time through the RL model to optimize the grid load and charging efficiency. Specifically, this paper models the charging pile power allocation problem as an RL problem and uses DQN for training to minimize user waiting time and maximize the utilization rate of the charging pile. Through simulation experiments, this paper demonstrates the advantages of the algorithm in different charging scenarios. Experimental results show that compared with the traditional uniform allocation and first-come-first-served algorithms, the intelligent power allocation algorithm can reduce the average waiting time by 25%, improve the utilization rate of the charging pile by about 20%, and improve the charging efficiency by about 15%. In addition, the algorithm can dynamically adjust the power allocation strategy according to the fluctuations of the real-time grid load and charging demand, showing good adaptability and scalability. The research results show that the charging pile power allocation scheme based on RL has a significant optimization effect and provides theoretical support and practical basis for the intelligent management of the future electric vehicle charging network.

关键词： Electric vehicle charging pile intelligent power allocation RL DQN charging efficiency grid load

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Harmonic power sharing control strategy of microgrid dominated by grid-forming and grid-following inverters under nonlinear loads 7

Harmonic power sharing control strategy of microgrid dominat...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Wei, Kai Zhao, Changjun Yang, Chen Li, Huanlin Gansu Elect Power Co Mkt Div Lanzhou 730000 Peoples R China State Grid Pingliang Elect Power Supply Co Pingliang 744000 Peoples R China

ISBN: (纸本)9798350377040;9798350377033

Harmonic currents will be generated due to the connection of nonlinear loads in the microgrid. Besides, the differences in line impedance can result in the unreasonable distribution of harmonic power of the inverter, even causing the inverter to be overloaded. Based on virtual harmonic impedance and harmonic droop control, this paper proposes a harmonic power proportional distribution strategy applicable to the coordinated control of grid-forming (GFM) and grid-following (GFL) inverters. Firstly, the dual second-order generalized integrator (DSOGI) is used to extract the fundamental and main low-order harmonic components in the output current and voltage. Secondly, the instantaneous value of the harmonic power is calculated and information interaction is established with other inverters. Based on the distribution error between each harmonic power, the voltage compensation amounts are finally obtained through the Proportional-Integral (PI) controller. After being accumulated with the harmonic voltage reference values obtained by the harmonic droop, they are respectively sent to the voltage loop of the GFM and the inverse droop control loop of the GFL to realize the compensation of the harmonic voltage drops of each order. Finally, the correctness and effectiveness of the proposed strategy are verified in MATLAB / Simulink.

关键词： Grid-forming inverter power sharing Virtual impedance Islanded microgrid

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A GaN power amplifier for satellite applications using a hermetically sealed broadband quad-ridge waveguide-to-coaxial transition 7

A GaN power amplifier for satellite applications using a her...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Zhu, Wensi Li, Huixiang Yu, Mengxia Shen, Shengqi 13th Res Inst China Elect Technology Grp Corp Shijiazhuang Hebei Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China

ISBN: (纸本)9798350377040;9798350377033

With the rapid development of satellite microwave and millimeter-wave communication structure for the Ka band. The design optimizes the geometric parameters of the quad-ridge waveguide and the probe structure, achieving efficient energy transation technologies, waveguides, as efficient transmission structures, have become indispensable in high-frequency, high-power applications. Satellite systems impose stricter requirements on the hermeticity, reliability, and broadband adaptability of transmission components. To meet these demands, this paper designs and implements a hermetically sealed broadband quad-ridge waveguide-to-coaxial transition mission over a wide frequency range while ensuring excellent hermetic performance and mechanical strength.

关键词： Four-ridged waveguide Waveguide coaxial switching broadband airtight GaN power amplifier

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Fault Location in Distribution Networks Based on Voltage Sag Monitoring Data 7

Fault Location in Distribution Networks Based on Voltage Sag...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Hu, Yiping Wang, Zhenni Huang, Ling Zheng, Jingyuan State Grid Beijing Fengtai Power Supply Co Beijing 100071 Peoples R China

ISBN: (纸本)9798350377040;9798350377033

With the rapid increase in power quality monitoring data and the maturity of data analysis and processing technologies, integrating power quality monitoring data with actual production needs to explore the application value of this data has become an important research focus in the field of power quality. This paper proposes a method for fault location based on voltage sag monitoring data, utilizing a BP neural network to model the mapping relationship between residual voltage during voltage sags and fault locations. First, a batch simulation of the fault data set is conducted to obtain voltage sag data, followed by offline training of the BP neural network to develop a neural network model for fault location. Finally, the online monitored voltage sag data is input into the pre-trained neural network for online application, resulting in the identification of the fault location. This method converts the output results of the BP neural network into fault location determination results, establishing a fault location model composed of the trained neural network and the fault location determination program, which can quickly predict the location of faults.

关键词： power quality Voltage sag Fault location BP neural network

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Data-driven Energy Consumption Modeling and Simulation Method of Discrete Manufacturing Workshop Based on Simplified power Curve 9

Data-driven Energy Consumption Modeling and Simulation Metho...

引用

9th International conference on automation, Control and Robotics engineering (CACRE)

作者： Yao, Ming Chang, Puikuan Shao, Zhufeng Zhang, Qi Niu, Pengfei Tsinghua Univ State Key Lab Tribol Beijing Peoples R China Tsinghua Univ Beijing Key Lab Precis Ultraprecis Mfg Equipments Beijing Peoples R China Tsinghua Univ Zhili Coll Beijing Peoples R China Instrumentat Technol & Econ Inst Beijing Peoples R China

ISBN: (纸本)9798350350319;9798350350302

As a core part of industrial production, the management of energy consumption (EC) in discrete manufacturing workshops (DMWs) is critical to improving productivity, reducing costs, and minimizing environmental impact. This paper provides an in-depth study of EC in DMWs, which is categorized into two main groups: work EC and public EC. The work EC includes basic energy, manufacturing energy and transportation energy, and each EC is analyzed and modeled in detail. Different analysis methods are proposed for the two levels of concern, process level and technological level. Based on these analyses, a shop-floor level energy calculation method based on simplified power curves and a data-driven power modeling approach are proposed for constructing accurate shop-floor energy models. Taking typical manufacturing and transportation equipment such as NC machine tools and AGVs as examples, the various power characteristics in the work EC are analyzed and the corresponding models are established. The experimental results show that a better power modeling accuracy can be obtained by using the data-driven method.

关键词： energy consumption modeling power modeling discrete manufacturing workshop data-driven intelligent algorithm

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Research on Dynamic Perception and Simulation Technology of power Grid State Based on UAV 7

Research on Dynamic Perception and Simulation Technology of ...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Cheng, Haitao Sun, Hongbo Kong, Lingyu Wang, Zezhao Wang, Luyao State Grid Power Space Technol Co Ltd Beijing Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes a dynamic perception and simulation technology framework for power grid state based on UAV, combined with the extended Kalman filter algorithm for data processing and state estimation. The system uses sensors carried by UAVs to conduct real-time inspections of key power grid facilities, obtain multi-dimensional data including voltage, current, temperature, etc., and use the extended Kalman filter algorithm to dynamically estimate and update the power grid state to ensure the accuracy and timeliness of the data. The simulation results show that the adoption of this technical solution can effectively improve the accuracy and real-time performance of power grid state perception. In the simulated complex power grid environment, the system can respond to power grid emergencies with a delay of 0.2 seconds per second, significantly shortening the reaction time of traditional manual monitoring and decision-making processes (reduced by about 35%). Specific analysis shows that the mean square error (MSE) of the extended Kalman filter algorithm in power grid state estimation is less than 2%, the voltage fluctuation prediction accuracy reaches 98.6%, and the real-time estimation errors of temperature and current are less than 5%. In addition, the system can also dynamically track and predict the power grid state, accurately warn of potential faults, and provide decision support.

关键词： UAV grid state dynamic perception extended Kalman filter

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Research on the Model of Intelligent Judgment of Abnormal Line Loss in power System Technology Loss Reduction Simulation Based on Data Fusion 7

Research on the Model of Intelligent Judgment of Abnormal Li...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Shen, Yuanchen Wang, Wei State Grid Rugao Power Supply Co Rugao Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes an intelligent judgment model of abnormal line loss in power system technology loss reduction simulation based on data fusion. The model integrates different types of sensor data to realize real-time monitoring and intelligent judgment of power system line loss. First, a multi-level data fusion framework based on sensor data and power load data is designed to effectively integrate data from different sources, eliminate noise influence, and improve detection accuracy. Then, intelligent algorithms such as SVM and DT are used to process and analyze the fused data, to realize early warning of abnormal line loss and optimization of technical loss reduction scheme. The simulation results show that the system can accurately detect abnormal line loss under different power load scenarios, and show high stability and accuracy. In the actual power system, the system's recognition accuracy of abnormal line loss reaches more than 95%, and it can still maintain an accuracy of more than 90% under load fluctuation and noise interference conditions. The data analysis system provides a scientific basis for power operation and maintenance personnel, which can effectively reduce the operating cost of the power system and improve the reliability and safety of the system.

关键词： Data fusion power system technical loss reduction line loss detection

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Research on Self-decision Control Strategy in Distributed Photovoltaic Intelligent Monitoring Device 7

Research on Self-decision Control Strategy in Distributed Ph...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Lei, Tinghao Cai, Xinya Wu, Yang Guo, Yingjie Li, Yao Guizhou Power Grid Co Ltd Zunyi Power Supply Bur Zunyi Guizhou Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This study proposes an intelligent monitoring self-decision control strategy based on multi-agent reinforcement learning algorithm for distributed photovoltaic systems to improve the efficiency and stability of the system under variable environments. In order to cope with the uncertainty in the distributed photovoltaic power generation process, this paper designs a self-decision control algorithm to achieve real-time monitoring and optimization control of photovoltaic components, inverters and grid interfaces through multi-agent collaboration. Each agent represents a different control unit, which is independent and cooperative with each other, and continuously trains under the reinforcement learning framework to improve the overall performance. The model verification based on the simulation platform shows that the algorithm can significantly improve the response speed and power generation efficiency of the photovoltaic system under different weather and load conditions. The data analysis results show that after adopting this control strategy, the output fluctuation of photovoltaic power generation is reduced by 15%, the inverter efficiency is improved by 12%, the system stability is enhanced, and the impact on the power grid is effectively reduced. In addition, the algorithm has good generalization performance and can be applied to large-scale distributed photovoltaic networks.

关键词： Distributed photovoltaic intelligent monitoring self-decision-making control multi-agent reinforcement learning algorithm

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