2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)最新文献

Influence of Filter Reactance on Input and Output Characteristics of DC De-Icer 滤波器电抗对直流除冰器输入输出特性的影响

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061952

Qingjun Huang, Yanjun Tan, Xinguo Mao, Siguo Zhu, Yafeng Cao, Lipeng Sun

引用次数: 0

Testing Method for the Enclosed Space Based on Image Identification and Unity3D Virtual Comparison Techniques 基于图像识别和Unity3D虚拟对比技术的封闭空间检测方法

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061858

Yunlong Liu, Yuanfu Tang, Dingjie Shen, Ameng Xie, Xiangwei Yang

{"title":"Testing Method for the Enclosed Space Based on Image Identification and Unity3D Virtual Comparison Techniques","authors":"Yunlong Liu, Yuanfu Tang, Dingjie Shen, Ameng Xie, Xiangwei Yang","doi":"10.1109/EI247390.2019.9061858","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061858","url":null,"abstract":"Hydropower turbine runner chamber, thermal power boiler header and pipeline are all typical enclosed spaces. To solve the technical problems of the existing testing methods for the key hidden metal components (such as the decompression panel and the water board of turbine runner chamber, the welded structures and foreign matters of header and pipeline) of the enclosed spaces, such as the poor reliability and the larger testing blind spots of the testing device, under the downtime without opening the cover of the enclosed spaces, an testing method for the enclosed space based on image identification and Unity 3-D simulation comparison techniques was proposed. The tracked magnetic creeper car which carries the real-time image collection instrument was used to complete the crawling work on the inner surface of the closed space. After the location is collected by the positioning assistant device, the position of the real-time testing image in the virtual 3D model is calibrated. Comparison between real-time testing image and simulation image, the different regions could be calibrated in the virtual simulation image, and then the defects or foreign bodies fall into could be accurately positioning. The field application test indicated that the field application test shows that the device can be calibrated accurately without opening the cover of the closed space. It is convenient to remove foreign bodies, and it is easy to maintain and clean.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"45 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120889436","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

Study on the Correlation between Internal and External Transient Phenomena Caused by Disconnector Operation in GIS GIS中断路操作引起的内外瞬变现象相关性研究

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061833

Yu Liang, Lawu Zhou, Yu Chen, Binyou Yang, Hui Wang, Feilong Li

{"title":"Study on the Correlation between Internal and External Transient Phenomena Caused by Disconnector Operation in GIS","authors":"Yu Liang, Lawu Zhou, Yu Chen, Binyou Yang, Hui Wang, Feilong Li","doi":"10.1109/EI247390.2019.9061833","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061833","url":null,"abstract":"In order to explore the correlation between the electromagnetic transient phenomenon caused by the GIS internal and external transient loops caused by the isolation switch operation, in this paper, the 126kV GIS intelligent substation is taken as the research object. According to the field size of 126kV GIS and the corresponding voltage level, the corresponding components in GIS are equivalently modeled and analyzed, and the Mayr arc model is also applied. Based on the analog isolating switch, the GIS internal and external transient simulation loop of the ideal transformer with the ratio of 1:1 is used. The electromagnetic transient simulation software Atp-emtp is used to simulate the internal and external transient loops of GIS. Through the analysis of the transient simulation inside and outside the GIS, the transient characteristics of VFTO and VFTC generated in GIS are basically the same; the main time of the transient phenomenon caused by the isolation switch operation in GIS is basically the same; the most intense oscillations in VFTO, VFTC and TEV in GIS occur at the initial moment of transient generation, indicating that transient phenomenon is the strongest at the initial moment once transient phenomenon occurs.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127159433","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

Individual blade pitch control for floating wind turbine based on RBF-SMC 基于RBF-SMC的浮式风力机桨距控制

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061766

Feilong Li, Lawu Zhou, Ling Li, Hui Wang, Hao Guo, Yu Liang

{"title":"Individual blade pitch control for floating wind turbine based on RBF-SMC","authors":"Feilong Li, Lawu Zhou, Ling Li, Hui Wang, Hao Guo, Yu Liang","doi":"10.1109/EI247390.2019.9061766","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061766","url":null,"abstract":"In this paper, the aerodynamic model, hydrodynamic model and mooring system model are established and coupled in time domain to obtain the effective wind speed under the disturbance of wind, wave and mooring load. On this basis, the online learning ability of Radial Basis Function (RBF) neural network is used to adjust the gain of sliding mode variable structure controller in real time so that the sliding mode function tends to the switching surface, and the chattering of sliding mode variable structure controller can be effectively reduced. The RBF-SMC individual blade pitch control method which is more suitable for floating wind turbine is obtained. Based on the simulation model of floating wind turbine composed of NREL-5MW wind turbine and OC3-Hywind foundation, the traditional PI control and the control method proposed in this paper are compared and analyzed. The results show that the individual blade pitch control based on RBF-SMC can effectively reduce the sway of floating foundation, restrain the fluctuation of effective wind speed of wind turbine, and ensure the stability of output power.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483800","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

Candidate Bus Selection Method for VAR planning of Wind-penetrated Power System based on Morris Screening Method 基于Morris筛选法的风电系统无功规划候选母线选择方法

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061879

Yinglu Zhou, Hui Fang, Ke Zhao, Ruilin Xu, Xiaojun Zhu, Y. Chi, Yan Xu, Pei Zhang

引用次数: 0

An Improved Vector Control Strategy of VSC-HVDC Connected to Weak Power Grid 一种改进的VSC-HVDC接入弱电网矢量控制策略

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062034

Shuaihu Li, Canle Cao, Zhenyu Xiang

引用次数: 3

Power System Transient Stability Assessment Based on Bayesian Optimized LightGBM 基于贝叶斯优化LightGBM的电力系统暂态稳定评估

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062027

Ronghua Wang, Yang Liu, X. Ye, Q. Tang, Jing Gou, Mingzeng Huang, Y. Wen

{"title":"Power System Transient Stability Assessment Based on Bayesian Optimized LightGBM","authors":"Ronghua Wang, Yang Liu, X. Ye, Q. Tang, Jing Gou, Mingzeng Huang, Y. Wen","doi":"10.1109/EI247390.2019.9062027","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062027","url":null,"abstract":"In case of dealing with large-scale and high dimension data samples, one of the key challenges for the artificial intelligence (AI) based transient stability assessment, is to guarantee the offline training speed and quickly determine the optimal parameters of the adopted algorithm. To cope with this issue, a transient stability assessment method based on Bayesian optimized Light GBM is proposed in this paper. This approach uses gradient-based one side sampling (GOSS), histogram algorithm and leaf-wise with depth restrictions to accelerate the model training process, during that the optimal parameters are quickly determined leveraging the Bayesian optimization. To ease the model complexity, the importance of the input data’s features is explicitly determined during the process of generating the decision tree. Combined with the correlation analysis, the relationship between the input data and the transient stability of considered contingency sets can be excavated more intuitively to select the necessary features. Test results on the New England 39-bus system show that the proposed approach has higher accuracy and speed, as well as a higher recognition rate for unstable samples compared with other machine learning based methods.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125048550","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: 9

Measurement Method of Verdet Constant Based on Refractive Index Dispersion of Optical Fiber Current Sensing Materials 基于光纤电流传感材料折射率色散的顶点常数测量方法

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062147

F. Qi, Dai Wan, Miao Zhao, Hengyi Zhou, X. Duan, Weihua Zhou, Kai You, S. Peng, Tao Peng

{"title":"Measurement Method of Verdet Constant Based on Refractive Index Dispersion of Optical Fiber Current Sensing Materials","authors":"F. Qi, Dai Wan, Miao Zhao, Hengyi Zhou, X. Duan, Weihua Zhou, Kai You, S. Peng, Tao Peng","doi":"10.1109/EI247390.2019.9062147","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062147","url":null,"abstract":"With the rapid development of ubiquitous power internet of things, people put forward higher and higher requirements for the informationization level of power equipment. Optical fiber current sensor has a very high level of information technology, so it attracts the attention of scholars. However, the existence of linear birefringence in optical materials and its low sensitivity to current and magnetic fields have always been the main reasons that restrict optical current sensors. The Feldt constant of optical fiber current sensor material characterizes the responsiveness of optical material to Faraday effect, which is closely related to the measurement sensitivity of all-optical fiber current sensor. The traditional method of measuring the Feldt constant is to calculate the Feldt constant by measuring the Faraday magneto-optical deflection angle. This method will be affected by linear birefringence and other factors, so that the measurement results are lower than the actual values. Based on the principle of frequency dispersion in refractive index light, a spectrophotometric method is proposed to measure the Verdet constant of optical materials. Compared with the traditional methods, the results show that the proposed method can avoid the influence of linear birefringence and other factors, and has guiding significance for improving the measurement sensitivity of optical fiber current sensor.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125103077","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

Review on Technologies of Compressed Air Energy Storage in Aquifers 蓄水层压缩空气蓄能技术研究进展

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061694

Jun Zhang, Yi Li, Hao Yu

引用次数: 1

Analysis of Interaction between Distributed Power, Energy Storage and Diverse Loads in a Smart Home 智能家居中分布式电源、储能与多负荷交互分析

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062069

Jidong Wang, Chenghao Li

引用次数: 0