Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343726
K. Guo, Bangning Zhang, D. Guo
In this paper, the secure performance of a satellite terrestrial communication network in shadowed-Rician (SR) channel is investigated, a satellite, a terrestrial destination and multi-single-antenna terrestrial eavesdropper are considered. Co-operating eavesdropper's scheme is used in this paper. Specially, the exact closed-form expressions of the system performance are derived, which provide fast means to evaluate the effect of system parameters on the system performance. Finally, Monte Carlo simulation results are derived to verify the superiority of the correctness of the analytical results, which also demonstrate the effects of various parameters on the secrecy performance of the satellite terrestrial networks.
{"title":"Secure performance analysis of a satellite-terrestrial network with multi-eavesdroppers","authors":"K. Guo, Bangning Zhang, D. Guo","doi":"10.1109/ICCSNT.2017.8343726","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343726","url":null,"abstract":"In this paper, the secure performance of a satellite terrestrial communication network in shadowed-Rician (SR) channel is investigated, a satellite, a terrestrial destination and multi-single-antenna terrestrial eavesdropper are considered. Co-operating eavesdropper's scheme is used in this paper. Specially, the exact closed-form expressions of the system performance are derived, which provide fast means to evaluate the effect of system parameters on the system performance. Finally, Monte Carlo simulation results are derived to verify the superiority of the correctness of the analytical results, which also demonstrate the effects of various parameters on the secrecy performance of the satellite terrestrial networks.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128862344","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343709
Jing Tao, Hongbo Wang, Xinyu Zhang, Xiaoyu Li, Hua-wei Yang
We build an object detection system for images in traffic scene. It is fast, accurate and robust. Traditional object detectors first generate proposals. After that the features are extracted. Then a classifier on these proposals is executed. But the speed is slow and the accuracy is not satisfying. YOLO an excellent object detection approach based on deep learning presents a single convolutional neural network for location and classification. All the fully-connected layers of YOLO's network are replaced with an average pool layer for the purpose of reproducing a new network. The loss function is optimized after the proportion of bounding coordinates error is increased. A new object detection method, OYOLO (Optimized YOLO), is produced, which is 1.18 times faster than YOLO, while outperforming other region-based approaches like R-CNN in accuracy. To improve accuracy further, we add the combination of OYOLO and R-FCN to our system. For challenging images in nights, pre-processing is presented using the histogram equalization approach. We have got more than 6% improvement in mAP on our testing set.
{"title":"An object detection system based on YOLO in traffic scene","authors":"Jing Tao, Hongbo Wang, Xinyu Zhang, Xiaoyu Li, Hua-wei Yang","doi":"10.1109/ICCSNT.2017.8343709","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343709","url":null,"abstract":"We build an object detection system for images in traffic scene. It is fast, accurate and robust. Traditional object detectors first generate proposals. After that the features are extracted. Then a classifier on these proposals is executed. But the speed is slow and the accuracy is not satisfying. YOLO an excellent object detection approach based on deep learning presents a single convolutional neural network for location and classification. All the fully-connected layers of YOLO's network are replaced with an average pool layer for the purpose of reproducing a new network. The loss function is optimized after the proportion of bounding coordinates error is increased. A new object detection method, OYOLO (Optimized YOLO), is produced, which is 1.18 times faster than YOLO, while outperforming other region-based approaches like R-CNN in accuracy. To improve accuracy further, we add the combination of OYOLO and R-FCN to our system. For challenging images in nights, pre-processing is presented using the histogram equalization approach. We have got more than 6% improvement in mAP on our testing set.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126369071","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343732
Wenying Mo, Ying Gao
In recent years, more and more approaches were proposed for vehicle logo recognition. However, most of the approaches achieve high performance only when the images have high resolution and the number of vehicle type to be classified is few. In this paper, a novel algorithm is proposed to treat with various resolutions of vehicle images and recognize a large number of vehicle logos. This algorithm is based on adaptive scaling sliding window and template matching with screening masks that is applied to detect the most accurate size and feature position of the target logo. In order to solve the problem that complicated texture noise affects the accuracy of template matching seriously, different screening masks are utilized for different vehicles. The algorithm avoids the difficulties of features localization and can recognize a great number of vehicle logos. This algorithm is applied on a dataset comprised of 10000 vehicle images with 102 types of vehicle logos taken in different environment by different traffic cameras. Experiment results show an overall recognition ratio of 91.62%.
{"title":"Vehicle type recognition based on adaptive scaling window and masks","authors":"Wenying Mo, Ying Gao","doi":"10.1109/ICCSNT.2017.8343732","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343732","url":null,"abstract":"In recent years, more and more approaches were proposed for vehicle logo recognition. However, most of the approaches achieve high performance only when the images have high resolution and the number of vehicle type to be classified is few. In this paper, a novel algorithm is proposed to treat with various resolutions of vehicle images and recognize a large number of vehicle logos. This algorithm is based on adaptive scaling sliding window and template matching with screening masks that is applied to detect the most accurate size and feature position of the target logo. In order to solve the problem that complicated texture noise affects the accuracy of template matching seriously, different screening masks are utilized for different vehicles. The algorithm avoids the difficulties of features localization and can recognize a great number of vehicle logos. This algorithm is applied on a dataset comprised of 10000 vehicle images with 102 types of vehicle logos taken in different environment by different traffic cameras. Experiment results show an overall recognition ratio of 91.62%.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127809155","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}
Pub Date : 2017-10-01DOI: 10.1109/iccsnt.2017.8343669
Lihua Sun, X. Bian, Zhenxing Kong, Chun Deng, Mu Hu, L. Luo, Qingqiang Meng
The current supervisory control and data acquisition(SCADA) system of wind farm has the problem of poor flexibility and weak integration in data access and the integrity of the data is susceptible to network and environmental factors. To solve the problem, I designed and researched SCADA system and wind farm data structure of wind farm and proposed a set of Web-based wind farm monitoring and information management system solution. I have introduced the key technologies of the system hardware and software basic architecture, fan data model establishment, data disconnection, distributed computing, multimedia access and so on. Through the system in a wind farm field deployment and operation, the various functions of the system were tested. The results show that the system has the ability to access different models of fans and external equipment data, the continuity and integrity of the data have been greatly protected, and the integrated management has effectively improved the operation and management efficiency of the wind field. The successful development and application of the system has a positive reference value for the further development of wind farm monitoring and management technology.
现有的风电场SCADA (supervisory control and data acquisition)系统在数据访问方面存在灵活性差、集成度弱的问题，数据的完整性容易受到网络和环境因素的影响。针对这一问题，我对风电场的SCADA系统和风电场数据结构进行了设计和研究，提出了一套基于web的风电场监测与信息管理系统解决方案。介绍了系统软硬件基本架构、风扇数据模型建立、数据断开、分布式计算、多媒体接入等关键技术。通过系统在某风电场现场的部署和运行，对系统的各项功能进行了测试。结果表明，该系统具有访问不同型号风机和外部设备数据的能力，数据的连续性和完整性得到了极大的保障，一体化管理有效提高了风场运行管理效率。该系统的成功开发和应用对风电场监测管理技术的进一步发展具有积极的参考价值。
{"title":"Design and research of wind farm monitoring and information management system based web and distribute process technology","authors":"Lihua Sun, X. Bian, Zhenxing Kong, Chun Deng, Mu Hu, L. Luo, Qingqiang Meng","doi":"10.1109/iccsnt.2017.8343669","DOIUrl":"https://doi.org/10.1109/iccsnt.2017.8343669","url":null,"abstract":"The current supervisory control and data acquisition(SCADA) system of wind farm has the problem of poor flexibility and weak integration in data access and the integrity of the data is susceptible to network and environmental factors. To solve the problem, I designed and researched SCADA system and wind farm data structure of wind farm and proposed a set of Web-based wind farm monitoring and information management system solution. I have introduced the key technologies of the system hardware and software basic architecture, fan data model establishment, data disconnection, distributed computing, multimedia access and so on. Through the system in a wind farm field deployment and operation, the various functions of the system were tested. The results show that the system has the ability to access different models of fans and external equipment data, the continuity and integrity of the data have been greatly protected, and the integrated management has effectively improved the operation and management efficiency of the wind field. The successful development and application of the system has a positive reference value for the further development of wind farm monitoring and management technology.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127760462","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}
AC filter in converter station is an important part of HVDC transmission system, and the tripping accident of AC filter will directly affect the transmission power of the DC transmission system. This paper presents a method for on-line identification of AC filter's health status based on the opening/closing current of AC filter's breaker. Firstly, a series of time domain feature and frequency domain feature of the opening/closing current of AC filter's breaker are defined. On this basis, radial basis function (RBF) neural network-based artificial intelligence method is used to identify the fault warning of AC filter. The results of an actual converter station show that the proposed method has high fault warning accuracy. It can alert staff to check and maintain AC filter before the abnormal status enlarges or causes adverse effects, and the occurrence of AC filter's tripping phenomenon can be reduced a lot.
{"title":"Research on fault warning of AC filter in converter station based on RBF neural network","authors":"Lei Shi, Shenxi Zhang, Junhong Li, Peng Wei, Zhiyuan Liu, Zhixian Zhang","doi":"10.1109/ICCSNT.2017.8343707","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343707","url":null,"abstract":"AC filter in converter station is an important part of HVDC transmission system, and the tripping accident of AC filter will directly affect the transmission power of the DC transmission system. This paper presents a method for on-line identification of AC filter's health status based on the opening/closing current of AC filter's breaker. Firstly, a series of time domain feature and frequency domain feature of the opening/closing current of AC filter's breaker are defined. On this basis, radial basis function (RBF) neural network-based artificial intelligence method is used to identify the fault warning of AC filter. The results of an actual converter station show that the proposed method has high fault warning accuracy. It can alert staff to check and maintain AC filter before the abnormal status enlarges or causes adverse effects, and the occurrence of AC filter's tripping phenomenon can be reduced a lot.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"606 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132657298","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343683
Ruibo Wang, Wen-zhe Zhang
Modern computer systems are suffering from various failures and are increasingly prone to error. This paper introduces a high efficient incremental checkpoint mechanism for fault tolerance. By leveraging the new hardware support for various page sizes, we make dynamic transformation between different sized pages and thus achieve the best balance of overhead between modification tracking and data dumping in incremental checkpoint. Experiments show that our new checkpoint mechanism could achieve an average speedup of 2.2x with the space overhead of 34% over traditional incremental checkpoint, showing great potential to be widely adopted.
{"title":"Efficient incremental checkpoint based on hybrid page","authors":"Ruibo Wang, Wen-zhe Zhang","doi":"10.1109/ICCSNT.2017.8343683","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343683","url":null,"abstract":"Modern computer systems are suffering from various failures and are increasingly prone to error. This paper introduces a high efficient incremental checkpoint mechanism for fault tolerance. By leveraging the new hardware support for various page sizes, we make dynamic transformation between different sized pages and thus achieve the best balance of overhead between modification tracking and data dumping in incremental checkpoint. Experiments show that our new checkpoint mechanism could achieve an average speedup of 2.2x with the space overhead of 34% over traditional incremental checkpoint, showing great potential to be widely adopted.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128166999","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343473
Zheng Yuefeng, Du Huishi, Zhang Guijie, Gan Jing
Exam distinction can only reflect a course of the distinction between students. In order to find the main differentiating courses in the university curriculum, the paper proposes the concept of the course differentiation, focusing on the value of course discrimination, the classification method and the proportion of professional courses in selected courses. In order to obtain the value of course differentiation, a method of combining multi-classification and feature selection is proposed. First of all, the data sources of students' achievement are classified by traditional five-level, N-score, M-classification and unsupervised four methods. Then, using the wrapper feature selection method, the classification accuracy rate and the feature subset of each dataset are calculated by different classifiers. Finally, we found the connotation and extension of the course discrimination. Experiments show that the proposed method can find the maximum value of the course distinction and the corresponding classification method, the proportion of professional courses is much larger than the proportion of public courses. It achieves the curriculum and assessment of the distinction requirements.
{"title":"Research on the course discrimination based on multi-classification method and feature selection","authors":"Zheng Yuefeng, Du Huishi, Zhang Guijie, Gan Jing","doi":"10.1109/ICCSNT.2017.8343473","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343473","url":null,"abstract":"Exam distinction can only reflect a course of the distinction between students. In order to find the main differentiating courses in the university curriculum, the paper proposes the concept of the course differentiation, focusing on the value of course discrimination, the classification method and the proportion of professional courses in selected courses. In order to obtain the value of course differentiation, a method of combining multi-classification and feature selection is proposed. First of all, the data sources of students' achievement are classified by traditional five-level, N-score, M-classification and unsupervised four methods. Then, using the wrapper feature selection method, the classification accuracy rate and the feature subset of each dataset are calculated by different classifiers. Finally, we found the connotation and extension of the course discrimination. Experiments show that the proposed method can find the maximum value of the course distinction and the corresponding classification method, the proportion of professional courses is much larger than the proportion of public courses. It achieves the curriculum and assessment of the distinction requirements.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951634","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343711
J. Huo, Zhinan Ren, Yongru Yang, Milin Ren
The harsh natural environments of the High altitude, cold and arid areas led to the deficient acquisition ability of field monitoring data and the insufficient networking researches and so on. Thus, it seriously restricts the Geoscience researches in these areas. Combining the practical situation of the observation systems deployed in the field station, this paper studies the key technologies of observation instruments networking based on the IPv6 technology to construct the observation instruments' network in the cold and arid areas. The research is to realize the tasks of data collection, data transmission and status monitoring of observation devices. It can enhance the automation level, real-time performance and quality of field observation data for the cold and arid areas.
{"title":"Networking research of observation instruments based on IPv6 technology","authors":"J. Huo, Zhinan Ren, Yongru Yang, Milin Ren","doi":"10.1109/ICCSNT.2017.8343711","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343711","url":null,"abstract":"The harsh natural environments of the High altitude, cold and arid areas led to the deficient acquisition ability of field monitoring data and the insufficient networking researches and so on. Thus, it seriously restricts the Geoscience researches in these areas. Combining the practical situation of the observation systems deployed in the field station, this paper studies the key technologies of observation instruments networking based on the IPv6 technology to construct the observation instruments' network in the cold and arid areas. The research is to realize the tasks of data collection, data transmission and status monitoring of observation devices. It can enhance the automation level, real-time performance and quality of field observation data for the cold and arid areas.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951630","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}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343751
Tong Zhang, Changxian Li, Zong-Liang Li
Train communication network has become the application mainstream of EMU and urban rail traffic operation. However, practical problems such as transmission delay and packet loss of communication network can cause a significant threat to the train stability and operation safety. In this paper, the delay of the train communication network was studied and controlled, and the experimental platform was built to test and analyze the forward delay transmission characteristics of the train network. The self-adaptive prediction was achieved by using the autoregressive model. At the same time, the generalized predictive control method was designed to realize the control and delay compensation of the system. On the experimental platform, joint simulation method was used with the configuration software. The results showed that the proposed method is superior to the PID control, which can meet the real time control requirements of the high speed EMU operation process.
{"title":"Generalized predictive control and delay compensation for high — Speed EMU network control system","authors":"Tong Zhang, Changxian Li, Zong-Liang Li","doi":"10.1109/ICCSNT.2017.8343751","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343751","url":null,"abstract":"Train communication network has become the application mainstream of EMU and urban rail traffic operation. However, practical problems such as transmission delay and packet loss of communication network can cause a significant threat to the train stability and operation safety. In this paper, the delay of the train communication network was studied and controlled, and the experimental platform was built to test and analyze the forward delay transmission characteristics of the train network. The self-adaptive prediction was achieved by using the autoregressive model. At the same time, the generalized predictive control method was designed to realize the control and delay compensation of the system. On the experimental platform, joint simulation method was used with the configuration software. The results showed that the proposed method is superior to the PID control, which can meet the real time control requirements of the high speed EMU operation process.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114154413","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}
During the 13th Five-Year period, the internal and external environment of Jiangsu Grid development has changed a lot. The first provincial UHVAC ring grid is built in China. Installed capacity of clean energy has doubled and the proportion of electricity consumption achieved 45%. The increased number of electric cars is expected to millions, which will be charged in the city center. Changes in different aspects require that Jiangsu Grid can quickly response to grid emergency exceptions and coordinate user load to guarantee grid stable operation with the minimal cost when grid is broken down. Thus the large-scale supply and demand friendly interactive system is being built by Jiangsu Grid to realize the intelligence interaction and quick control of user load. This paper discusses different technologies of how large-scale supply and demand friendly interactive system can rapidly control the load of interactive user. Several aspects like load control mode, load interactive terminal of smart grid, as well as the master station are all considered in realizing load quick control.
{"title":"Research on load fast control technology in large-scale supply-demand friendly interaction system","authors":"Wei Yu, Shubo Liu, Zheng Xiong, Yu Song, Daoqiang Xu","doi":"10.1109/ICCSNT.2017.8343752","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343752","url":null,"abstract":"During the 13th Five-Year period, the internal and external environment of Jiangsu Grid development has changed a lot. The first provincial UHVAC ring grid is built in China. Installed capacity of clean energy has doubled and the proportion of electricity consumption achieved 45%. The increased number of electric cars is expected to millions, which will be charged in the city center. Changes in different aspects require that Jiangsu Grid can quickly response to grid emergency exceptions and coordinate user load to guarantee grid stable operation with the minimal cost when grid is broken down. Thus the large-scale supply and demand friendly interactive system is being built by Jiangsu Grid to realize the intelligence interaction and quick control of user load. This paper discusses different technologies of how large-scale supply and demand friendly interactive system can rapidly control the load of interactive user. Several aspects like load control mode, load interactive terminal of smart grid, as well as the master station are all considered in realizing load quick control.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482208","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}
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