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Trading mechanism for distributed energy resources to participate in peak-regulation auxiliary service market for new-type power systems 分布式能源参与新型电力系统调峰辅助服务市场的交易机制
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674515
Yang Li, Ting Zhou, Anrong Gong
{"title":"Trading mechanism for distributed energy resources to participate in peak-regulation auxiliary service market for new-type power systems","authors":"Yang Li, Ting Zhou, Anrong Gong","doi":"10.1117/12.2674515","DOIUrl":"https://doi.org/10.1117/12.2674515","url":null,"abstract":"Under the construction of the new-type power system, fully exploiting the adjustment potential of demand-side flexible resources and injecting vitality into the auxiliary service market is a key measure to achieve the energy strategic goal. This study mainly analyzes the key mechanisms for distributed energy resources to participate in the peak-regulation service market. First of all, the types and access conditions of distributed resources, the transaction varieties in the peak-regulation auxiliary service market in different provinces are summarized. Then, different transaction organization methods and key transaction mechanisms for distributed resources to participate in the peak-regulation service market are introduced. Finally, an outlook on the participation of distributed resources in the peak-regulation service market is provided.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116248153","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 research on the fruit recognition software design based on augmented reality technology 基于增强现实技术的水果识别软件设计研究
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674695
Yixuan Jin, Wenliang Lu
{"title":"A research on the fruit recognition software design based on augmented reality technology","authors":"Yixuan Jin, Wenliang Lu","doi":"10.1117/12.2674695","DOIUrl":"https://doi.org/10.1117/12.2674695","url":null,"abstract":"In order to solve the problem of \"poor effect of spreading fruit knowledge through paper books, pictures and videos\", this paper adopts augmented reality technology to recognize fruit and spread relevant knowledge. The specific operation process is as follows: camera shooting, Internet uploading of fruit pictures, server recognition of the relevant fruit, the relevant data of the fruit will be transferred to the user's display device, superimposed on the real fruit. With the help of the augmented reality software designed in this paper, fruit knowledge can be displayed in three dimensions, enhance the interaction and immersion of learning, improve learners' interest, and expand their life knowledge.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126641450","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 novel semi-supervised learning method for power transformer fault diagnosis with limited labeled data 基于有限标记数据的电力变压器故障诊断半监督学习方法
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674508
Guolin Zhou, Dazhi Wang, Yuqian Tian, Jiaxing Wang, Shuo Cao
{"title":"A novel semi-supervised learning method for power transformer fault diagnosis with limited labeled data","authors":"Guolin Zhou, Dazhi Wang, Yuqian Tian, Jiaxing Wang, Shuo Cao","doi":"10.1117/12.2674508","DOIUrl":"https://doi.org/10.1117/12.2674508","url":null,"abstract":"Identifying power transformer faults accurately is critical to maintaining the stable operation of power system. Intelligent fault diagnosis algorithms based on dissolved gases have been extensively researched and implemented. However, in practice, collecting labeled data is time-consuming and costly. Therefore, it is necessary to establish a valid diagnostic model with limited labeled data. To solve this problem, a novel semi-supervised learning method for power transformer fault diagnosis is proposed in this paper. First, all the dissolved gas samples are constructed as a weighted K-nearest neighbor (KNN) graph to initially describe association among all samples. Then, a semi-supervised random multireceptive field propagation graph convolutional network (SSRMFPGCN) is designed for fault feature extraction and classification. Finally, the collected power transformer fault data are used to validate the proposed method. The experimental results show that the method proposed in this paper can still achieve 94.06% accuracy with only 20% of labeled training samples, which is significantly superior to the traditional intelligent diagnosis methods.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125793068","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 optimal planning of electric vehicle charging station based on ADMM algorithm 基于ADMM算法的电动汽车充电站优化规划研究
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674591
Xuze Zhang, Yinming Bai, Fuqing Wang, Jian Zhang, Qin Xie
{"title":"Research on optimal planning of electric vehicle charging station based on ADMM algorithm","authors":"Xuze Zhang, Yinming Bai, Fuqing Wang, Jian Zhang, Qin Xie","doi":"10.1117/12.2674591","DOIUrl":"https://doi.org/10.1117/12.2674591","url":null,"abstract":"With the popularity of electric vehicles, the impact of electric vehicle charging on the power grid is also growing. The planning of charging stations not only affects the user experience, but also affects the stable operation of the power grid. By analyzing the impact of charging stations on the power grid and users, as well as the correlation between their construction costs and operating costs, the planning problem of electric vehicle charging stations is modeled as a solution problem under multi-objective and multi constraint conditions, and ADMM algorithm is used to solve the problem. A commercial district is taken as an example for analysis and testing, and the results prove the effectiveness of the proposed algorithm.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126592403","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
Prediction of highway pavement performance based on combined model 基于组合模型的公路路面性能预测
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674759
Guangli Ren, Peng Zhang, Yixin Cui
{"title":"Prediction of highway pavement performance based on combined model","authors":"Guangli Ren, Peng Zhang, Yixin Cui","doi":"10.1117/12.2674759","DOIUrl":"https://doi.org/10.1117/12.2674759","url":null,"abstract":"This article focuses on the analysis of the performance of asphalt pavement, and establishes a prediction model for the performance of asphalt pavement in Guidu based on the data of traffic volume, climate, and road surface smoothness. After fully understanding the performance evaluation indicators of various asphalt pavements, the international roughness index is selected as the performance evaluation indicators of asphalt pavements. According to the technical performance of the asphalt mixture (high temperature stability, low temperature crack resistance, water stability, antifatigue performance, anti-aging performance, etc.), the influencing factors (temperature, rainfall days, traffic volume, etc.) of the asphalt pavement performance are derived. Collect traffic flow and asphalt pavement performance data on the spot, and process and analyze the data. Establish a gray forecast model, a moving average forecast model, as well as a multiple regression forecast model and a VAR model that consider the four variables of traffic volume, truck ratio, temperature, and rainfall days. Predict the performance of the asphalt pavement through the above model, and get the prediction result.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"12604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130445280","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 evaluation of ordnance equipment maintenance support capability based on entropy weight and ideal point method 基于熵权和理想点法的军械装备维修保障能力评价研究
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674567
Ding Xiao, Li Zhang, Liangjun Xu
{"title":"Research on evaluation of ordnance equipment maintenance support capability based on entropy weight and ideal point method","authors":"Ding Xiao, Li Zhang, Liangjun Xu","doi":"10.1117/12.2674567","DOIUrl":"https://doi.org/10.1117/12.2674567","url":null,"abstract":"The evaluation of maintenance support capability of ordnance support units involves many factors, some of which are easy to quantify, while others are difficult to quantify, which often brings many difficulties to the evaluators. Therefore, on the basis of establishing the evaluation index system for the maintenance support capability of ordnance equipment, the method of combining entropy weight method and ideal point method is adopted to conduct evaluation research, so as to reduce the subjective randomness of the evaluators and make the evaluation work more scientific and reasonable.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134008096","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
Measurement of central subfield thickness based on depth learning 基于深度学习的中心子场厚度测量
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674667
Yuanying Wang, Jiangyan Zhou, Wei Liu
{"title":"Measurement of central subfield thickness based on depth learning","authors":"Yuanying Wang, Jiangyan Zhou, Wei Liu","doi":"10.1117/12.2674667","DOIUrl":"https://doi.org/10.1117/12.2674667","url":null,"abstract":"Central subfield thickness (CST) can assist in the diagnosis of many diseases, which can be observed through OCT images. This paper proposes a new deep learning framework for measuring CST. In this paper, the original OCT image is segmented based on U-Net, and a classification task is introduced here to determine whether the original image is taken from the center of the eye, so as to improve the segmentation effect of the center of the retina. The CST value of the segmented image is calculated through a double tower regression model, which is composed of the reduced dimension self-attention model and ResNet splicing. Through experimental verification, the regression accuracy of this framework is about 8% higher than that of other models.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134521856","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
FEM-SPH adaptive coupling calculation model for small-caliber bullet penetrating ceramic composite target 小口径子弹侵彻陶瓷复合靶的FEM-SPH自适应耦合计算模型
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674616
Wei Xia, Xin Jia, Zhengxiang Huang, Y. Wang, Qing Liu, Zhang Tao
{"title":"FEM-SPH adaptive coupling calculation model for small-caliber bullet penetrating ceramic composite target","authors":"Wei Xia, Xin Jia, Zhengxiang Huang, Y. Wang, Qing Liu, Zhang Tao","doi":"10.1117/12.2674616","DOIUrl":"https://doi.org/10.1117/12.2674616","url":null,"abstract":"In order to accurately simulate the dynamic response process of ceramic composite target under the penetration of 7.62 mm steel core projectile in ballistic test., this paper selects FEM (Finite Element Method), SPH (Smoothed Particle Hydrodynamics), SPH-FEM fixed coupling algorithm, SPH-FEM adaptive coupling algorithm as the simulation scheme, and uses LS-DYNA finite element software to analyze the penetration of small-caliber bullets. The research shows that: by analyzing the dynamic response process of ceramic failure and the residual velocity of the projectile, the FEM-SPH adaptive coupling algorithm can simulate the failure modes of ceramics at each stage, and quantify the simulation accuracy with the residual velocity of the projectile. The error of the adaptive coupling algorithm is 1.17%. The FEM-SPH adaptive coupling simulation model is reasonably applied to simulate the impact process of the bullet penetrating the ceramic target.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131826013","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
Data driven Z-FFR physical modeling 数据驱动的Z-FFR物理建模
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674673
W. Xiong, Zhangchun Tang, Pan Liu, Qiang Gao, Yan Shi, Fanyu Qu, Chencheng Liu, Cheng Liu
{"title":"Data driven Z-FFR physical modeling","authors":"W. Xiong, Zhangchun Tang, Pan Liu, Qiang Gao, Yan Shi, Fanyu Qu, Chencheng Liu, Cheng Liu","doi":"10.1117/12.2674673","DOIUrl":"https://doi.org/10.1117/12.2674673","url":null,"abstract":"The Z-FFR (Z-Pinch Driven Fusion Fission Hybrid Reactor) is an important innovative design concept. The high uncertainty of the operating process of the pulsed power unit and the physical process of fusion and the absence of some theoretical and experimental conditions make it difficult to establish a high-precision mechanistic model, and it is difficult to obtain an accurate mathematical model of a complex, dynamic system. A data-driven physical modelling approach is urgently needed to replace the mechanistic models obtained with the aid of extensive simulations and experiments. The approach includes the creation of functional modules, the packaging of sub-modules, the configuration of module interfaces and the configuration of analytical models. Based on the actual needs of Z-FFR design and operation monitoring, the online analysis can be autonomously configured to accommodate different experimental data through machine learning, enabling anomaly detection, trend prediction, model design evaluation and operation assessment during the experimental process.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"12604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129354333","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: 3
The impact of carbon market on electricity spot market and its coordination mechanism 碳市场对电力现货市场的影响及其协调机制
Conference on Computer Graphics, Artificial Intelligence, and Data Processing Pub Date : 2023-05-23 DOI: 10.1117/12.2674605
Zheng Zhao, L. Guan, Bo Wang, Siwen Zhang, Chenqing Lv
{"title":"The impact of carbon market on electricity spot market and its coordination mechanism","authors":"Zheng Zhao, L. Guan, Bo Wang, Siwen Zhang, Chenqing Lv","doi":"10.1117/12.2674605","DOIUrl":"https://doi.org/10.1117/12.2674605","url":null,"abstract":"Carbon market and electricity market will play an important role as market mechanisms in implementing the double-carbon goal and building a new type of power system. At present, the national carbon market has been traded online, and the pilot construction of power spot, as the core of electricity market reform, is accelerating. The two markets are closely connected and affect each other, and have a far-reaching impact on the development of the power industry. Starting with the analysis of the relationship between the carbon market and the electricity market, this study introduces the construction progress of China's carbon market, focusing on the impact of China's carbon market on the electricity spot market, including the impact of the carbon market on the trading behavior of spot market participant, market clearing and market operation and puts forward mechanism suggestions to promote the coordinated development of the two market.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"12604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530235","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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