2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)最新文献

{"title":"A Recent Overview of Power-to-Gas Projects","authors":"Minfang Liao, Chengxi Liu, Zeng Qing","doi":"10.1109/EI250167.2020.9346826","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346826","url":null,"abstract":"Power-to-Gas(P2G) technology has been making a significant contribution to the reduction of CO2 emission in industry, transport, etc. Also, the large-scale integration of renewable energies as well as the need for system balance by energy storage gain a lot of benefits from the P2G technology. In order to practically take the advantages of P2G technology, various creative P2G projects are in progress across the world. In this paper, an overview of P2G projects in recent years are introduced in terms of power-to-hydrogen and power-to-methane, with details on their facilities, innovations, and objectives.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115922654","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}

{"title":"Preparation and Mechanical Properties of Modified Epoxy Composites Through Plasma Fluorination of Filler","authors":"Fangcheng Lü, Pin Lü, Yaxiang Wang, Qing Xie, Zhenyu Zhan, Hao-ou Ruan","doi":"10.1109/EI250167.2020.9346753","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346753","url":null,"abstract":"Plasma fluorination of fillers can improve the electrical properties of epoxy resin composites, while there is hardly any research on its influence on other properties of the materials. In this study, nano-sized titanium dioxide particles were modified by dielectric barrier discharge (DBD) plasma. In order to evaluate the effect of fluorination, fillers before and after treatment, according to different mass fractions of 0.1%, 0.5%, 1% and 5%, respectively, were added into epoxy resin to prepare composites. The tensile properties, bending behavior and glass transition temperature (Tg) of the composites were studied. The results show that after fluorination, the tensile properties of the material have been improved basically, with tensile strength ($sigma_{M}$) increased by up to 17% and tensile strain at break ($varepsilon_{B}$) by up to 27%. In terms of bending performance, when the filler content was constant, flexural strength ($sigma_{fM}$) and flexural stress at break ($sigma_{fB}$) of the composites prepared with fluorinated filler increased and flexural stress at conventional deflection ($sigma_{fc}$) and flexural modulus (Ef) can increase by up to 25%. Differential scanning calorimetry (DSC) analysis shows that Tg will not decrease due to fluorination treatment. The molecular dynamics simulation results were in good agreement with the experimental results.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124132781","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}

{"title":"Research on the Influencing Factors Affecting Carbon Emissions in Fujian Province","authors":"Yi Du, Qiyuan Cai, Yinan Li, Nan Zheng, Changyong Lin, Kangli Xiang","doi":"10.1109/ei250167.2020.9346877","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9346877","url":null,"abstract":"Electricity accounts for a relatively high proportion of energy consumption, and its consumption is increasing year by year with the rapid development of the economy. Fujian’s electric power is dominated by coal-based thermal power, which results in a large proportion of Fujian’s total carbon emissions in the province’s total carbon emissions. Based on power-related data from 2000 to 2017, this paper uses Logarithmic mean Divisia index (LMDI) to analyze emission factors, energy structure, economic scale, transmission and distribution loss, conversion efficiency, and power intensity for Fujian’s per capita electricity carbon emissions. The results show that in 2000-2017, the economic scale, energy structure, and transmission and distribution loss factors are the main factors for the increase of power carbon emissions. At the same time, the suggestions for energy saving and emission reduction in Fujian Province are proposed.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124199032","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}

{"title":"Planning of Microgrid Based on Information Gap Decision Theory","authors":"Ke Sun, Chun Li, Q. Peng","doi":"10.1109/EI250167.2020.9347087","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347087","url":null,"abstract":"At present, more electric vehicles are connected to the microgrid, and with the increase in load uncertainty, it can no longer meet the new demand. In order to establish a microgrid considering the long-term load growth at the planning level, this paper analyzes the economic cost of microgrid planning. Aiming at the uncertainty of the long-term load growth, the information gap decision theory is used to simulate and coordinate the microgrid planning. Finally, the calculation example based on an industrial park verifies that the proposed planning model can help planning decision-makers cope with uncertainty at the optimal cost, and studies the impact of electricity prices on planning.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881460","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}

{"title":"A Differential Game Approach to Distributed Energy Trading for Energy Internet","authors":"Enhui An, Qiuye Sun, Jingwei Hu, Rui Wang","doi":"10.1109/ei250167.2020.9347203","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9347203","url":null,"abstract":"This paper designs a distributed trading mechanism for Energy Internet in which distributed generations uncertainty is considered. In order to match up Energy Internet, We-Energy (WE) is proposed for the convenience of energy regulation, energy trading and information interaction. First, a differential game approach to distributed energy trading for energy internet is proposed. Then, in order to avoid the risk and error caused by the uncertainty and intermittency of renewable energy supply, trading mechanism based on credibility is designed. Subsequently, the offline mode and online to offline (O2O) mode are compared. Finally, the effectiveness in the offline mode and O2O mode is verified through simulations on the three connected WEs.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114411943","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}

{"title":"Research on Active Current Suppression Control Strategy of Photovoltaic Generation System","authors":"W. Zhao, Zhiwen Xie, Jie Zeng, Ning Xie, Ying Gao, Jingpeng Yue","doi":"10.1109/EI250167.2020.9347282","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347282","url":null,"abstract":"With the proportion of DC-connected photovoltaic (PV) power supply to the power supply capacity of the grid is increasing, its impact on the grid is also gradually increasing. In this paper, inter-pole short circuit fault and pole-to-ground short circuit fault of the PV generation system in the micro-grid are studied. Firstly, the inter-pole and monopolar short circuit fault characteristics in the DC micro-grid are analyzed. Secondly, the fault state detection method is improved by combining the fault characteristics. It is proposed to control the power electronic element IGBT in the converter to keep it on during faults, so as to shunt the current provided by PV cell, and finally achieve the purpose of suppressor the fault current. The proposed scheme is verified, and the simulation results prove that the control strategy can effectively suppress the fault current of the PV generation system.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117309138","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}

{"title":"Optimal Allocation of Distributed Generations Considering Demand Response and Multi-agent Benefits","authors":"Jing Hu, T. Ding, Hongkun Chen, Chaoyang Xiang","doi":"10.1109/EI250167.2020.9347355","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347355","url":null,"abstract":"Traditional power planning takes the distribution network as the only agent without fully considering the environmental cost and demand response. However, environmental cost, demand response and multi-agent benefits have begun to receive attention in power planning with the increase of new energy penetration, the development of active distribution networks and the reform of the power market. Firstly, considering three different agents including the power supply side, the distribution network and the users, the optimal allocation models are established with the goal of the maximum net income, respectively. Secondly, according to the relationship of the multi-agent interests, the objective function that considers the net income of all three parties is constructed, and the original model is transformed into a second-order cone programming problem by using the second-order cone relaxation technology. Finally, taking the IEEE33 bus distribution network as a simulation case, the simulation is carried out based on the actual data of loads, wind power outputs and photovoltaic outputs in a regional power grid. The result verifies that the optimal allocation model can effectively improve the overall economic benefits of each subject, and considering environmental costs and demand response in power planning can make the obtained schemes pay attention to both economy and environmental protection, which is in line with the future development trend of power grid.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117318877","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}

{"title":"Optimal Energy Management Strategy Considering Forecast Uncertainty Based on LSTM-Quantile Regression","authors":"Xiao Zhou, Kang Gong, Changdong Zhu, Jing Hua, Z. Xu","doi":"10.1109/EI250167.2020.9347295","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347295","url":null,"abstract":"Due to the uncertainty of distributed energy and load in micro grid, the optimal scheduling scheme often fails in practice. This paper proposes an optimal energy management strategy considering forecast uncertainty based on LSTm-quantile regression. In this paper, firstly, load forecasting probability density method based on LSTM-quantile regression was proposed to describe the uncertainty of Load. Then, this paper has established an interval optimization model with distributed diesel engine, energy storage system and other controllable power sources, and taken the operating cost of micro grid as the target. Finally, a simulation has been carried out to verify the proposed model. The results show that the optimization method proposed in this paper can effectively improve the ability of the micro-network scheduling scheme to deal with uncertainties and avoid the scheme being too conservative.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116404958","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}

{"title":"Denoising of a Multi-Station Point Cloud and 3D Modeling Accuracy for Substation Equipment Based on Statistical Outlier Removal","authors":"Jianlong Guo, Weixia Feng, Tengfei Hao, Peng Wang, Shuang Xia, Huben Mao","doi":"10.1109/EI250167.2020.9346782","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346782","url":null,"abstract":"In order to construct a three-dimensional model of substations, we need to use laser scanning to collect the information of substation equipment from different angles and construct a three-dimensional model of substation equipment by splicing the acquired point cloud data. Because there are many noise points in the point cloud data of substation equipment acquired by laser scanning, it directly affects the modeling accuracy of the three-dimensional model of substation equipment. Aiming at investigating the characteristics of the high density of point clouds, the low density of noise points, and the sparse distribution of substation equipment, based on the Statistical Outlier Removal (SOR), this paper focuses on the influence of the standard deviation of the kernel function and the number of points estimated within the average distance on the noise denoising effect of a point cloud. Firstly, the binary approximation method is used to optimize the threshold value of the kernel function for the point cloud data of the substation equipment obtained under laboratory conditions, and the optimal threshold value of the kernel function is determined according to the evaluation of the noise denoising effect of the point cloud. After the optimal threshold noise denoising, the multi-site cloud of substation equipment is spliced, and the influence of the noise denoising effect on the accuracy of multisite cloud splicing is analyzed. Finally, the obtained optimal threshold of the kernel function is used for noise denoising and multi-site cloud splicing of point cloud data from the same kind of substation equipment collected in an actual environment, and the noise denoising effect and the splicing accuracy of a three-dimensional point cloud of the same kind of substation equipment under the optimal threshold are tested. The field application results show that the optimal threshold obtained by this paper for similar equipment can effectively improve the efficiency of point cloud noise denoising and the accuracy of multi-site cloud splicing, and verify its effectiveness and correctness. This method can improve the efficiency of digital acquisition and 3D modeling, and reduce the cost of 3D modeling.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439248","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}

{"title":"Research on Topology Identification of Distribution Network Under the Background of Big Data","authors":"Shuting Li, Shifa Gao, Jianbin Wu, Dongsheng Xie, Guoping Xi, Yaqin Zhao, Zhuowen Zuo, He Huang, Li Qi","doi":"10.1109/ei250167.2020.9346938","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9346938","url":null,"abstract":"Traditional identification of distribution network topology needs to rely on manual identification and verification, which has the problems of low identification rate and poor accuracy. Under the current background of power big data, effective results can be obtained by fully mining the potential effective information of big data and applying it to the identification of distribution network topology structure. This paper presents a line-to-line relationship identification method based on the maximum correlation minimum redundancy method and a line-to-transformer relationship identification method based on the conversion of three-phase unbalanced outlet voltage. The voltage acquisition system is fully utilized, and the maximum correlation minimum redundancy method (mRMR) is used to eliminate the redundancy of feature variables in line-to-line relationship identification to obtain the most accurate correlation results. In the identification of line-transformer relationship, the conversion method of three-phase unbalanced outlet voltage is adopted to eliminate the influence of misjudgment caused by three-phase unbalanced voltage and improve the identification accuracy. The identification method proposed in this paper is applied to the topology identification of a regional distribution network. By comparison with the actual topology, the identification accuracy is up to 99.78% and the effect is remarkable.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560042","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}