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2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)最新文献

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A Novel Integrated Refrigeration System for insulating aerial vehicle Based on Hydraulic transmitting Power Generation Technology 基于液压传动发电技术的新型隔热飞行器综合制冷系统
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175225
Xue Zhang, Xin Yang, Shaoqi Wang
{"title":"A Novel Integrated Refrigeration System for insulating aerial vehicle Based on Hydraulic transmitting Power Generation Technology","authors":"Xue Zhang, Xin Yang, Shaoqi Wang","doi":"10.1109/ICCSIE55183.2023.10175225","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175225","url":null,"abstract":"It is difficult for live-line workers to dissipate heat in insulating clothing in a hot environment. Aiming at the problems of poor refrigeration effect and limited space of traditional air-conditioned clothing, this paper develops an integrated refrigeration system for insulating aerial vehicles based on hydraulic transmitting power generation technology. Simulation by COMSOL shows that the refrigeration principle is feasible. The hydraulic power system is used to supply power to the whole system, and the hydraulic generator is connected to the stabilized battery to realize a stable DC power supply. Field live working test shows that the system can greatly improve the working environment of live working personnel in summer, reduce the working intensity and improve the working efficiency, and can also be popularized and applied to other working scenes.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134206566","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
Network Attack Detection Method for Distributed Economic Dispatch of Virtual Power Plants 虚拟电厂分布式经济调度的网络攻击检测方法
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175256
Tianfeng Chu, Zhenhong Yan, Xiangdong Gong, Fang Dong
{"title":"Network Attack Detection Method for Distributed Economic Dispatch of Virtual Power Plants","authors":"Tianfeng Chu, Zhenhong Yan, Xiangdong Gong, Fang Dong","doi":"10.1109/ICCSIE55183.2023.10175256","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175256","url":null,"abstract":"Virtual power plant (VPP) contains a large number of distributed generators (DG) and loads. Therefore, a distributed method based on multi-agent system is required for economic scheduling. This paper designs a fully distributed economic scheduling strategy, which does not require a centralized controller or leader. Distributed policies pose security risks. In this paper, instability attack and stealth attack are discussed respectively. Based on the characteristics of stealth attack, a method of attack detection and alarm by comparing the reference current signal is designed. In order to test the proposed scheduling strategy and detection method, a simulation model is built to test. The simulation results show that the proposed fully distributed economic scheduling strategy is effective. In addition, the FDIA attack detection algorithm can quickly and accurately detect stealth attacks.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134219201","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
An Ensemble Modeling Approach for Power Curve with Multivariables 多变量功率曲线的集成建模方法
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175212
Li Song, Yifang Jin, Rongbin Ju, Dianyang Li, Duo Wang
{"title":"An Ensemble Modeling Approach for Power Curve with Multivariables","authors":"Li Song, Yifang Jin, Rongbin Ju, Dianyang Li, Duo Wang","doi":"10.1109/ICCSIE55183.2023.10175212","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175212","url":null,"abstract":"It is important to establish reliable and accurate power curve model for wind energy optimization and monitoring. Considering the difference of wind turbine power output under different influencing factors, an integrated modeling technique is established in this paper to realize power evaluation based on multiple influencing factors. To overcome the sensitivity of the model to outliers, the data filtering technology is added to improve the accuracy of the modeling. In addition, the k-medoids ++ algorithm is used to divide the data to describe the data differences theoretically. The proposed modeling technique has been verified on three wind turbines in a wind farm in Liaoning Province, China, and the results show that the modeling technique is reliable.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128932714","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
ICCSIE 2023 Breaker Page ICCSIE 2023断路器页
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/iccsie55183.2023.10175203
{"title":"ICCSIE 2023 Breaker Page","authors":"","doi":"10.1109/iccsie55183.2023.10175203","DOIUrl":"https://doi.org/10.1109/iccsie55183.2023.10175203","url":null,"abstract":"","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133134332","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
Design of Multi-Robot Interaction Interface Based on Pyqt 基于Pyqt的多机器人交互界面设计
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175220
Guofeng Shen, Hang Li, Song Wang
{"title":"Design of Multi-Robot Interaction Interface Based on Pyqt","authors":"Guofeng Shen, Hang Li, Song Wang","doi":"10.1109/ICCSIE55183.2023.10175220","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175220","url":null,"abstract":"In order to solve the requirements of multi-robot control system for human-computer interaction interface, we designed a multi-robot interaction interface based on Internet of Things (IoT). Firstly, based on open-source platform, we used Qt creator to design the display interface, and used PyQt5 to write programs of each module of the graphical user interface (GUI). After that, we have completed the design and function realization of the interaction interface system. This system is capable of many functions, such as motion control function, video monitoring function and speed regulation function, and the test results show that these functions work stably.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115433893","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
Short-Term Multivariate Load Forecasting for Integrated Energy Systems Based on BIGRU-AM and Multi-Task Learning 基于BIGRU-AM和多任务学习的综合能源系统短期多元负荷预测
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175297
Qianxiang Sun, Hongyuan Ma, Guangdi Li, Ziwen Li, Yining Wang
{"title":"Short-Term Multivariate Load Forecasting for Integrated Energy Systems Based on BIGRU-AM and Multi-Task Learning","authors":"Qianxiang Sun, Hongyuan Ma, Guangdi Li, Ziwen Li, Yining Wang","doi":"10.1109/ICCSIE55183.2023.10175297","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175297","url":null,"abstract":"Complex strong coupling relationships may exist among multiple loads in an integrated energy system, and accurate multivariate load forecasting plays an important role in energy scheduling and operation planning of integrated energy systems. Therefore, this paper proposes a short-term multivariate load forecasting model for integrated energy systems based on bidirectional gated cycle unit (BIGRU), multi-task learning (MTL) and attention mechanism (AM). Firstly, considering the coupling characteristics between the electric, heating and cooling loads of the integrated energy system, the PCC method is used to screen the input variables of the prediction model and reduce the dimensionality of the input features of the prediction model; then the attention mechanism is introduced into the BIGRU model based on multi-task learning, which further mines the coupling features between loads through multi-task learning, compensates for the insufficient mining and utilization of coupling features between loads, and achieves the differentiated extraction of important features in the shared layer by each sub-task through the attention mechanism, which improves the prediction accuracy of the model; finally, using the historical data of electric, cooling and heating loads of Arizona State University Tempe campus as the actual arithmetic example, the reasonableness and validity of the model were verified by simulation comparison.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432102","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
Fault Segment Location in Distributed Distribution Network Based on Improved Particle Swarm Optimization Algorithm 基于改进粒子群优化算法的配电网络故障段定位
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175228
Liansuo Zheng, Zhanshan Wang, C. Wang
{"title":"Fault Segment Location in Distributed Distribution Network Based on Improved Particle Swarm Optimization Algorithm","authors":"Liansuo Zheng, Zhanshan Wang, C. Wang","doi":"10.1109/ICCSIE55183.2023.10175228","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175228","url":null,"abstract":"For some specialists and academics, the study of distribution network fault location has always been a crucial research area. The access of distributed generation (DG) to distribution network has made it more challenging to locate faults in those distribution networks, particularly in recent years. According to the similarities and differences between distribution network with DG and traditional distribution network, this paper establishes the switch function and fitness function of distribution network with DG. An improved PSO is proposed and the rate of convergence of PSO is accelerated. Finally, the original PSO and improved PSO are used to simulate and verify the fault location of the distribution network with DG. The improved PSO proposed in this paper has advantages in fault location in distribution network with DG.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"802 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417602","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
Obstacle avoidance and formation transformation of multi-agent groups based on six-wheeled robot 基于六轮机器人的多智能体群体避障及队形变换
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175276
Jian Gao, Kang Chen, Can Wu, Song Wang
{"title":"Obstacle avoidance and formation transformation of multi-agent groups based on six-wheeled robot","authors":"Jian Gao, Kang Chen, Can Wu, Song Wang","doi":"10.1109/ICCSIE55183.2023.10175276","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175276","url":null,"abstract":"Based on SolidWorks software, the system model of six-wheeled robot is built. Aiming at the problem of robot localization, the localization of six-wheeled robot in known environment is realized based on AMCL algorithm. Aiming at the formation control problem of multi-robot system, the controller based on Lyapunov theorem and the controller based on Pid control are designed by using the Leader-Following algorithm. The control effects of the two controllers are simulated based on Ros Operating System (ROS). Aiming at the problem of group obstacle avoidance in multi-robot system, a multi-robot formation as a whole obstacle avoidance strategy is proposed based on A* and DwA algorithm, and the navigation and group obstacle avoidance of multi-robot system are realized. Considering that the multi-robot system needs to adapt to different environments, different formation formations are selected by setting priority to improve the environmental adaptability of the multi-robot system.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024512","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
Interval Energy Flow Analysis for Integrated Heat and Electricity System Based on Affine Arithmetic 基于仿射算法的一体化热电系统区间能量流分析
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175305
Junyi Wang, Haoran Zhao, Yibao Jiang, Hao Li, Sixiao Xin, Hang Tian
{"title":"Interval Energy Flow Analysis for Integrated Heat and Electricity System Based on Affine Arithmetic","authors":"Junyi Wang, Haoran Zhao, Yibao Jiang, Hao Li, Sixiao Xin, Hang Tian","doi":"10.1109/ICCSIE55183.2023.10175305","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175305","url":null,"abstract":"The theory of uncertain energy flow analysis is important to the planning and operational optimization of integrated heat and electricity systems (IHES). In order to study the impact of uncertain factors on the IHES, an interval energy flow analysis method based on affine arithmetic is proposed in this paper. The electricity model, heat model and coupled component model based on affine arithmetic is first built considering the uncertainty of multi-energy loads. The IHES interval energy flow model is then efficiently solved by an integrated method using Krawczyk-Moore algorithm with affine arithmetic. Finally, the proposed method is fully verified in a test system of 4-bus power system and 3-node heating network. The accuracy and low-conservativeness is validated by comparison with Monte Carlo simulation method and interval method.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130123678","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 Carbon Emission Reduction Method for Distribution Network with Data Centers 一种数据中心配电网碳减排方法
2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175280
Z. Cui, Jian Chen, Haoran Zhao
{"title":"A Carbon Emission Reduction Method for Distribution Network with Data Centers","authors":"Z. Cui, Jian Chen, Haoran Zhao","doi":"10.1109/ICCSIE55183.2023.10175280","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175280","url":null,"abstract":"With a large number of renewable energy connected to the grid, the inherent constraints of node voltage, line power flow upper limit and so on in the distribution network make it impossible for surplus renewable energy to be completely transmitted to the transmission network, resulting in a waste of renewable energy and increasing the overall carbon emissions of the system. In view of this phenomenon, this paper first models the distribution network and data center, embeds the economic optimization of the data centers into the carbon emission reduction optimization problem through KKT conditions. The data load distribution of the data center is guided by the electricity price information, and the data load is transferred in space, so that the renewable energy of the distribution network can be fully utilized and the total carbon emissions of multiple distribution networks can be reduced. Finally, an example is given to verify the effectiveness of the proposed method.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130658607","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
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