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2020 IEEE International Conference on Energy Internet (ICEI)最新文献

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A robust identification method for transmission line parameters based on BP neural network and modified SCADA data 基于BP神经网络和修正SCADA数据的输电线路参数鲁棒识别方法
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00025
Min Lu, Xueqi Jin, Xiaozhong Wang, Yan Xu, Yangyingfu Wang, He Kong, L. Gu, Kaiyang Luo, A. Xue
{"title":"A robust identification method for transmission line parameters based on BP neural network and modified SCADA data","authors":"Min Lu, Xueqi Jin, Xiaozhong Wang, Yan Xu, Yangyingfu Wang, He Kong, L. Gu, Kaiyang Luo, A. Xue","doi":"10.1109/ICEI49372.2020.00025","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00025","url":null,"abstract":"Accurate transmission line (TL) parameters are the basis of power system calculations. In recent years, artificial intelligence (AI) develops rapidly, which has been applied widely in power systems. However, AI is rarely applied to TL parameter identification. Thus, combining the TL model and AI, this paper proposes a robust identification method for TL parameters combined with BP (back propagation) neural network and median robust estimation, with the modified SCADA measurements based on TL model. Specifically, first, the robust identification method for TL parameter combined with BP neutral network and median estimation is proposed. And then, the training set that considers various working conditions and different line parameters is constructed based on the π-equivalent model. Furthermore, the input data of BP neural network is construed by modifying the SCADA data based on TL model. In addition, the median estimation is used to obtain the final result, which could reduce the interference of noise. Finally, the results with simulated data and measured SCADA measurements data show the effectiveness and practicality of the proposed method, respectively.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212512","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
dTASD: A Novel Online Detection Method for Anomalous State of Dry-type Transformer 一种新的干式变压器异常状态在线检测方法
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00029
Chao Wang, Zhaoguo Wang, Lei Tao, Ruili Ye, Yan Wang, Lin Xie, Y. Xue
{"title":"dTASD: A Novel Online Detection Method for Anomalous State of Dry-type Transformer","authors":"Chao Wang, Zhaoguo Wang, Lei Tao, Ruili Ye, Yan Wang, Lin Xie, Y. Xue","doi":"10.1109/ICEI49372.2020.00029","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00029","url":null,"abstract":"Due to the advantages of dry-type transformers such as safety, no pollution, and low power consumption, they are widely used in shopping malls, hospitals, data centers and other places. Therefore, anomalous state detection for dry-type transformers is of great significance. However, the traditional detection methods are generally based on the hard threshold judgment method, which is difficult to ensure timeliness and may cause irreversible damage to the device. In this paper, we present dTASD, Dry-type Transformer Anomalous State Detector, a framework that can timely detect the anomalous state of dry-type transformer online. dTASD consists of an offline training model stage and online detecting stage. In offline training model, dTASD adopts the semi-supervised mode, and applies self-organizing map to discretize the three-phase temperature data to solve the challenge of three-phase data fusion. In online detecting, we propose a novel calculation method for anomaly scores to measure the degree of transformer operation deviating from the normal state. The experimental results using Real monitoring data of dry-type transformers installed in a large data center demonstrate dTASD can effectively solve the problem of anomalous state detection for dry-type transformers, and outperforms the existing anomaly detection approaches.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314430","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 Collaborative Control strategy of Thermostatically Controlled loads Considering Communication Delay 考虑通信延迟的恒温控制负载协同控制策略
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00028
Xu Lu, Weifeng Nie, Shaonan Chang, Ting Huang
{"title":"A Collaborative Control strategy of Thermostatically Controlled loads Considering Communication Delay","authors":"Xu Lu, Weifeng Nie, Shaonan Chang, Ting Huang","doi":"10.1109/ICEI49372.2020.00028","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00028","url":null,"abstract":"With the large-scale integration of clean energy into smart grid, how to use the flexible regulation of demand-side load to improve the efficiency of new energy has become an issue in recent years. However, facing more and more demand-side services, the pressure of communication network will multiply, which will easily cause communication delay and affect real-time control services. Therefore, this paper proposes an improved electric water heater model, which introduces the error of load running state change caused by communication delay, which can simulate the real-time consumption in real environment more accurately, and then feedback and optimize the collaborative loads control strategy to improve the consumption rate of new energy. Finally, the effectiveness and advantages of the model and strategy are verified by simulation.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"309 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132890115","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
Power reduction for an active suspension system in a quarter car model using MPC 使用MPC的四分之一汽车模型中主动悬架系统的功率降低
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00033
J. Narayan, Saman A. Gorji, M. Ektesabi
{"title":"Power reduction for an active suspension system in a quarter car model using MPC","authors":"J. Narayan, Saman A. Gorji, M. Ektesabi","doi":"10.1109/ICEI49372.2020.00033","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00033","url":null,"abstract":"Active suspension uses a powered actuator to provide real-time control of a suspension system to achieve better ride, comfort, and safety for passengers in a vehicle. This study concerns with the design of control schemes for an active suspension system in a quarter car model. In this paper, a quarter car model is presented, and ISO-based road profiles are used as perturbation for the system. Two control strategies, LQR and MPC with reference tracking have been investigated. Quadratic cost function for both the control schemes is optimized for the state and input variables. Simulation is carried out using MATLAB-SIMULINK and a comparison is presented for the ride index and actuator power. Simulations show considerable improvements in the suspension performance and power demand using MPC in comparison with LQR on two road classes. The performance improvements using MPC provides substantial evidence that indicates a reduction in the power requirements, actuator dimension and weight.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566045","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
Recommendation and Election Expert System for Rotating Machinery Fault Diagnosis Based on the Combination of Rules and Examples 基于规则与实例相结合的旋转机械故障诊断推荐与选择专家系统
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00015
Xiaofeng He, Xiaofeng Liu, Xiulian Lu, Lipeng He, Yunxiang Ma, Shengtao Sun, Tao Yang
{"title":"Recommendation and Election Expert System for Rotating Machinery Fault Diagnosis Based on the Combination of Rules and Examples","authors":"Xiaofeng He, Xiaofeng Liu, Xiulian Lu, Lipeng He, Yunxiang Ma, Shengtao Sun, Tao Yang","doi":"10.1109/ICEI49372.2020.00015","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00015","url":null,"abstract":"Energy internet needs a comprehensive grasp of all power generation equipment. In order to simulate the behavior of human experts in real-time diagnosis of equipment operating status and fault types, a research on the fault diagnosis expert system of rotating machinery in thermal power plants is carried out, and a recommendation and election expert system based on the integration of rules and examples is proposed. The expert system combines traditional rule-based fault tree inference with case-based inference, and proposes a stepped inference strategy through online elections, which can perform online real-time fault diagnosis based on signals such as vibration and speed to improve the accuracy of fault diagnosis.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422489","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
Federated Learning-Based Ultra-Short term load forecasting in power Internet of things 基于联邦学习的电力物联网超短期负荷预测
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00020
Jianbin Li, Yuqi Ren, Suwan Fang, Kunchang Li, Mingyu Sun
{"title":"Federated Learning-Based Ultra-Short term load forecasting in power Internet of things","authors":"Jianbin Li, Yuqi Ren, Suwan Fang, Kunchang Li, Mingyu Sun","doi":"10.1109/ICEI49372.2020.00020","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00020","url":null,"abstract":"The stable and efficient management and dispatching of power system depend on the accurate short term load forecasting of the following few minutes to a week. With the rapid development of the power Internet of Things, the number of network edge devices and data volume has increased exponentially. However, the traditional centralized method cannot accurately grasp load variation patterns of all area, which entails storage pressure and delays of data calculation and transmission. In addition, the centralized method has potential data security risk for its transmitting and storing all data in the data center. The present research proposes an ultra-short term load forecasting method for the power Internet of Things based on federated learning, which learns the model parameters from the data distributed in multiple edge nodes. Simulation results show that the method effectively generates accurate load forecasting and reduces the data security risk under the condition that the data of each edge node does not come out of its location.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"451 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122158683","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: 14
Energy-Use Internet and Friendly Interaction with Power Grid: A Perspective 能源使用互联网与电网友好互动:一个视角
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00018
Xingying Chen
{"title":"Energy-Use Internet and Friendly Interaction with Power Grid: A Perspective","authors":"Xingying Chen","doi":"10.1109/ICEI49372.2020.00018","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00018","url":null,"abstract":"The new round of Internet era will completely change the way of energy consumption and greatly improve the efficiency of energy utilization. It is imperative to integrate the energy industrial Internet with the widely known consumption Internet. In order to improve energy efficiency and introduce market competition mechanism, the concept of Energy-Use Internet (EUI) has been proposed in this paper. Within the scope of EUI, energy suppliers, energy service providers, energy aggregators and energy consumers are collectively referred to as energy elements. These energy elements with trading and circulation functions are regarded as the basis of EUI. Using the Internet thinking for reference, a fair and free energy service and trading platform needs to be constructed. The friendly interaction mechanism between EUI and power grid has been extensively studied, mainly focusing on interaction mode, business mode, and regulation from grid company. Finally, some key technologies to realize the perspective of EUI and interaction with power grid are discussed.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125913218","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: 5
[Copyright notice] (版权)
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/icei49372.2020.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icei49372.2020.00003","DOIUrl":"https://doi.org/10.1109/icei49372.2020.00003","url":null,"abstract":"","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125924248","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 Case Study of Developing an Intelligent Management System for Energy Internet 能源互联网智能管理系统开发实例研究
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00021
Lian Chi, Zezheng Zhao, Chunqiu Xia, XIAOMIN CHANG
{"title":"A Case Study of Developing an Intelligent Management System for Energy Internet","authors":"Lian Chi, Zezheng Zhao, Chunqiu Xia, XIAOMIN CHANG","doi":"10.1109/ICEI49372.2020.00021","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00021","url":null,"abstract":"Energy Internet (EI) has drawn increasingly interests in related industries. The implement of EI is a milestone on the road-map to promote the revolution of both energy production and consumption, which is important to achieve sustainable energy development. This paper investigates the possibility on establishing the EI by integrating application-level intelligent management system with traditional energy grid in neighbourhood scale. As a new energy utilisation model, EI realises the deep integration between energy industry and information and communications technology (ICT) in order to optimise regional energy management and optimal dispatch. With the support of Internet of things technology and big data technology, this system plays an important role in coordinating management and scheduling while realising the interaction between market entities and end-users at the same time. This paper reviews and conducts in-depth research on the background, concept and technical model of EI, and also discusses the implementation of EI in a practical industrial parks.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126328346","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
Evaluation of Voltage Sag Severity in Provincial Power Grid 省级电网电压暂降严重程度评价
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00027
Mingwen Zhuang, Jingteng Chen, Minhui Wu, Huibin Li, Liqian Lin, Jianxun Wang
{"title":"Evaluation of Voltage Sag Severity in Provincial Power Grid","authors":"Mingwen Zhuang, Jingteng Chen, Minhui Wu, Huibin Li, Liqian Lin, Jianxun Wang","doi":"10.1109/ICEI49372.2020.00027","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00027","url":null,"abstract":"In view of the problem that it is impossible to deploy voltage sag monitoring devices in the whole network, resulting in the lack of basis for industrial users to enter the network, a scheme for evaluating the severity of voltage sag at the grid side in the provincial power grid is proposed. Firstly, by analyzing the characteristics of voltage sag transmission, the simulation scope of provincial power grid is determined, and the differences of fault rate and fault type proportion of different voltage grades highlighted due to the expansion of simulation scope are considered, which makes the short circuit fault simulation model based on Monte Carlo method closer to reality. Secondly, from the engineering point of view, improve the BPA data maintained by the power grid dispatching department, call the BPA parallel simulation calculation through the development interface, and analyze the calculation results to obtain the grid side voltage sag severity evaluation index.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802992","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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