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2022 9th International Forum on Electrical Engineering and Automation (IFEEA)最新文献

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Evaluation Method of Multidimensional Scientific Research Value of Power Grid Enterprises Based on Fuzzy Analytic Hierarchy Process 基于模糊层次分析法的电网企业多维科研价值评价方法
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037886
Fan Cheng, Yong Li, Jiaang Li
{"title":"Evaluation Method of Multidimensional Scientific Research Value of Power Grid Enterprises Based on Fuzzy Analytic Hierarchy Process","authors":"Fan Cheng, Yong Li, Jiaang Li","doi":"10.1109/IFEEA57288.2022.10037886","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037886","url":null,"abstract":"Because the traditional scientific research value evaluation method is not comprehensive enough for the analysis of relevant indicators, resulting in the final evaluation results and professional evaluation results of the degree of the fitting is low, this paper proposes a multi-dimensional scientific research value evaluation method for power grid enterprises based on fuzzy analytic hierarchy process. The Evaluation index system of scientific research value is constructed from the dimensions of economic benefit, social benefit, scientific and technological value, environmental benefit, operational capacity, the scope of application, and effective time domain, on the basis of which a fuzzy judgment matrix includes membership degree. The non-membership degree and hesitation degree are constructed. A single evaluation index of scientific research value is taken as a level. The method of consistency check is used to analyze and calculate the information distance in the fuzzy judgment matrix, which is used as the value evaluation result of the corresponding dimension. In the example analysis results, the evaluation results of the design method and the expert evaluation results have a high degree of the fitting.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125194660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Early anomaly detection of distribution network based on large-dimensional matrix spectrum analysis 基于大维矩阵谱分析的配电网早期异常检测
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037826
Yudong Gao, Xianguo Yan, Xiaokun Liu
{"title":"Early anomaly detection of distribution network based on large-dimensional matrix spectrum analysis","authors":"Yudong Gao, Xianguo Yan, Xiaokun Liu","doi":"10.1109/IFEEA57288.2022.10037826","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037826","url":null,"abstract":"Aiming at the complex structure of distribution network and the interaction of many factors, a method for early fault detection of distribution network based on random matrix theory is proposed. Firstly, we propose to construct a spatio-temporal data matrix by using the measurement data of all distribution transformers within distribution network feeders and their branches. Then the sliding window method and random matrix theory are used to continuously analyze the statistical properties of the elements in the data matrix. Linear eigenvalue statistics are used as statistical indicators to characterize the behavior of the data for realizing anomaly detection. The test results of the simulation data and the engineering data show that the approach can effectively realize early anomaly event detection in distribution network, and has certain guiding significance for distribution network line inspection.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129799323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A High-Performance SOI Single-pole Sixteen-throw RF Switch 高性能SOI单极16掷射频开关
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037998
Caozheng Zhang, Libo Zheng, Zhengxuan Sheng, Jinghao Yu, Pengfei Ye, Yi Liu
{"title":"A High-Performance SOI Single-pole Sixteen-throw RF Switch","authors":"Caozheng Zhang, Libo Zheng, Zhengxuan Sheng, Jinghao Yu, Pengfei Ye, Yi Liu","doi":"10.1109/IFEEA57288.2022.10037998","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037998","url":null,"abstract":"The importance of RF switches has increased significantly since the widespread use of cloud computing, Internet of Things (IoT), and 5G communication. In this paper, an extremely low insertion loss (IL) and high linearity single-pole sixteen-throw (SP16T) switch has been implemented by using 130 nm RF silicon-on-insulator (SOI) CMOS process, which is intended for the IoT/4G/5G multi-mode multi-band applications. The switch shows a low insertion loss of 0.5 dB at a frequency of 0.9 GHz and 0.57 dB at a frequency of 1.9 GHz. This SP16T switch also integrates a controller to be used in the RF front-end module (FEM).","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130540299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research on Optimal Operation and Safety Control of Thermal Power Unit Auxiliary Machines Under Deep Peaking Conditions 深调峰工况下火电机组辅机优化运行与安全控制研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037992
Shuai Di
{"title":"Research on Optimal Operation and Safety Control of Thermal Power Unit Auxiliary Machines Under Deep Peaking Conditions","authors":"Shuai Di","doi":"10.1109/IFEEA57288.2022.10037992","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037992","url":null,"abstract":"With the large-scale grid connection of new energy sources, thermal power units are changing from a pillar energy source to a regulating energy source. This paper investigates the optimal operation technology of thermal power unit auxiliary machine under deep peaking conditions. Firstly it summarizes the advantages and considerations of switching from dual auxiliary machines to single auxiliary machine operation. Then it designs protection optimization strategies, automatic optimization strategies, and low load stabilization and combustion control strategies to realize optimal operation and safety control of units. Finally it ensures the relevant protection interlocks and automatic regulation function properly when the single auxiliary unit trips. This technology can improve the economy and reliability of units and provide reference for similar projects.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131386684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A multi-objective power flow optimization model of electric and thermal distribution network using the power flow method 用潮流法建立了配电网多目标潮流优化模型
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037871
Zhiyu Zhao, Zesen Wang, Junhong Hao, Shunjiang Wang, Xingce Wang, Huan Xie, Xuan Li
{"title":"A multi-objective power flow optimization model of electric and thermal distribution network using the power flow method","authors":"Zhiyu Zhao, Zesen Wang, Junhong Hao, Shunjiang Wang, Xingce Wang, Huan Xie, Xuan Li","doi":"10.1109/IFEEA57288.2022.10037871","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037871","url":null,"abstract":"More and more renewable energy is connected to the distribution network (DN), and some DNs in suburban or rural areas connect multiple electrothermal loads to balance renewable energy power. The electrothermal load includes heat storage, heat exchanger, and heating network. In this paper, the power flow method is used to analyze the heat transfer process of electrothermal load. Considering the minimum voltage deviation, the minimum active power loss of DN, and the minimum carbon emission cost, the overall electrothermal hybrid optimal power flow analysis is carried out to achieve multi-objective optimization. In this paper, the power flow method and carbon emission cost method are applied to the optimal power flow analysis of the electrothermal hybrid network. The effectiveness and correctness of the model are verified by an improved IEEE 33 buses case.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128723336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AUV Path Planning in Strong Current Fields with Less Computing Time and Improving Incompleteness Problem 少计算时间的强电流场水下航行器路径规划及改进不完备性问题
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037978
Feng Wang, Chenlong Li, Wenliang Chen
{"title":"AUV Path Planning in Strong Current Fields with Less Computing Time and Improving Incompleteness Problem","authors":"Feng Wang, Chenlong Li, Wenliang Chen","doi":"10.1109/IFEEA57288.2022.10037978","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037978","url":null,"abstract":"This paper solves the time-optimal path planning for autonomous underwater vehicles (AUVs) in ocean environment with cluttered currents. In this problem, the planner may not find a path in the search space with discrete motion directions, because it leads to a decrease in the available direction. But the search space with the continuous motion directions will greatly increase the computation. To avoid this, the paper presents an approach to improve the lack of discrete motion model by placing Steiner points on each edge. Combining with the ant colony algorithm, the path planner finds the time-optimal path in search space. The effectiveness is verified through simulations using a set of randomly generated current fields.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"47 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116301446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Error Calibration Method for Power Big Data Based on K-Means Clustering 基于k均值聚类的电力大数据误差标定方法研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037989
Wei Xing, Botao Wu, Mingyuan Liang, Yue Li, Lin Cheng
{"title":"Research on Error Calibration Method for Power Big Data Based on K-Means Clustering","authors":"Wei Xing, Botao Wu, Mingyuan Liang, Yue Li, Lin Cheng","doi":"10.1109/IFEEA57288.2022.10037989","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037989","url":null,"abstract":"For heterogeneous data with large volume, the current error checking method has lower effective error correction and longer checking processing time. In view of the above problems, this paper studies the power big data error calibration method based on K-Means clustering. After processing the heterogeneous and heterogeneous power big data, the PSO algorithm is used to improve the k-means clustering process. After extracting the data error features in the sparse coding network, the improved k-means algorithm is used to achieve error checking. In the experimental study, the effective calibration ratio of the k-means-based calibration method is higher than 65%, and the calibration time is greatly reduced. When the method is applied to actual power big data management, the influence of errors on data analysis can be reduced to the greatest extent, and the data credibility can be improved.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of thermal on cable insulation breakdown 热对电缆绝缘击穿的影响
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038151
Runzu Zhang, Anhui Feng, Yongbo Zhang, Ye Liu, Pengfei Liu, Zhongzu Zhou, Weiqing Yang, Jian-Cheng Yang, YanLin Shi
{"title":"Effect of thermal on cable insulation breakdown","authors":"Runzu Zhang, Anhui Feng, Yongbo Zhang, Ye Liu, Pengfei Liu, Zhongzu Zhou, Weiqing Yang, Jian-Cheng Yang, YanLin Shi","doi":"10.1109/IFEEA57288.2022.10038151","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038151","url":null,"abstract":"As for the Heavy Ion Accelerator Facility in Lan zhou (HIRFL), cables are one of the important media for transmitting signals. The power supply provides the excitation current for the magnet through the cable, and the current magnitude output from the power supply determines the quality of the beam flux. The heat will be generated when the current passes through the cable, if the cable skin temperature exceeds the maximum operating temperature, the cable will suffer a thermal breakdown of the insulation. The paper takes the quadrupole power supply cable as an example and establishes finite element software to analyse the temperature distribution of the cable at different currents. The simulation results show that when the current reaches 190A, the lowest temperature reaches the present cable surface’s tolerable temperature; the higher the current, the greater the temperature difference of the cable. Finally, an optimal selection of cables is proposed. This study provides data support for the generic cabling of the accelerator.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126595588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the Market Transaction Mechanism of Orderly Charging of Electric Vehicles Based on Blockchain to Participate in Demand Response 基于区块链的电动汽车有序充电参与需求响应的市场交易机制研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037917
Desheng Bai, Xiaokun Yu, Lei Zhou, Wenhao Xue, Guomin Li
{"title":"Research on the Market Transaction Mechanism of Orderly Charging of Electric Vehicles Based on Blockchain to Participate in Demand Response","authors":"Desheng Bai, Xiaokun Yu, Lei Zhou, Wenhao Xue, Guomin Li","doi":"10.1109/IFEEA57288.2022.10037917","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037917","url":null,"abstract":"With the gradual promotion and application of electric vehicles on a large scale, their random and disordered charging and discharging are bound to increase the load volatility of the power system during special periods. At the same time, electric vehicles have considerable energy storage value and can provide diversified grid demand responses such as peak shaving, frequency modulation, voltage regulation, and backup. In this paper, using blockchain technology, in view of the urgent need to improve the customer participation mechanism, resource integration, and sustainable development of the current mobile energy storage characteristics of electric vehicles, based on the consideration of battery attenuation, research and design of orderly charging of electric vehicles to participate in demand response market transactions Price mechanism to guide and encourage electric vehicle users to participate in grid balance adjustment.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning-Based Text Entity Recognition Method for Distribution Network Operation and Maintenance 基于深度学习的配电网运维文本实体识别方法
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038136
Yongmin Gao, Bing Kang, Tiancheng Zhao, Hui Xiao, Jiashuai Li, Zhihao Xu, Guili Ding, Zongyao Wang
{"title":"Deep Learning-Based Text Entity Recognition Method for Distribution Network Operation and Maintenance","authors":"Yongmin Gao, Bing Kang, Tiancheng Zhao, Hui Xiao, Jiashuai Li, Zhihao Xu, Guili Ding, Zongyao Wang","doi":"10.1109/IFEEA57288.2022.10038136","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038136","url":null,"abstract":"The distribution network has accumulated a large amount of text data in long-term operation and maintenance, dispatching and other operations, and a large amount of entity data of the distribution network is contained in these text data. However, due to the large amount of text data and most of the texts are proper nouns, there is no one entity recognition algorithm suitable for this field, leading to a series of defects caused by poor entity recognition in the process of constructing knowledge graphs. To this end, this paper proposes a new deep learning-based entity recognition method (D-BERT+Bi-LSTM+GAM+CRF) for distribution networks. The method uses the distribution network operation and maintenance scheduling and other protocol documents to train the model. Text entity recognition for distribution network operation and maintenance dispatching operation work orders in real scenarios. Experiments showed that the F1_score, Precision, and recall of this scheme reached 81.8%,80.4%, and 83.2%, respectively, which improved the F1_score by 1.3%-26.6% compared with the conventional scheme. It effectively guides the construction of knowledge graphs.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127105679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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