Pub Date : 2018-06-09DOI: 10.1109/ICSGEA.2018.00020
Panfeng Chen, Haozhong Cheng, Yingbei Yao, Xuan Li, Jianping Zhang, Zonglin Yang
With the advancement of smart grid construction, the power data generated during power production and use is becoming more and more abundant. The use of big data technology for load forecasting is of great significance in guiding the planning and operation of power systems. This paper comprehensively considers the impact of economic and meteorological factors on the load characteristics, decomposes the total load into the basic load affected by the economy and the meteorological sensitive load affected by meteorological factors. Then the linear regression method and the random forest regression (RFR) in big data technology were used to model the two. Finally, the wavelet neural network (WNN) algorithm is used to intelligently correct the prediction results. Comparing the above method with the prediction results of a region without wavelet neural network method and support vector machine (SVM) method, the proposed method has higher prediction accuracy.
{"title":"Research on Medium-Long Term Power Load Forecasting Method Based on Load Decomposition and Big Data Technology","authors":"Panfeng Chen, Haozhong Cheng, Yingbei Yao, Xuan Li, Jianping Zhang, Zonglin Yang","doi":"10.1109/ICSGEA.2018.00020","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00020","url":null,"abstract":"With the advancement of smart grid construction, the power data generated during power production and use is becoming more and more abundant. The use of big data technology for load forecasting is of great significance in guiding the planning and operation of power systems. This paper comprehensively considers the impact of economic and meteorological factors on the load characteristics, decomposes the total load into the basic load affected by the economy and the meteorological sensitive load affected by meteorological factors. Then the linear regression method and the random forest regression (RFR) in big data technology were used to model the two. Finally, the wavelet neural network (WNN) algorithm is used to intelligently correct the prediction results. Comparing the above method with the prediction results of a region without wavelet neural network method and support vector machine (SVM) method, the proposed method has higher prediction accuracy.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129473080","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00100
X. Xie, Peng Wang, Qi Wang
With the rapid development of cloud computing, virtualization technology as a key technology in cloud computing is also constantly evolving. Virtualization technology has faced a major challenges in the contradiction between application-to-application independence and resource interoperability. As a kind of virtual technology based on operating system, the container perfectly solved the problem of program independence and resource sharing. This paper introduces the current two container technologies: Docker and Rkt. It firstly overviews the traditional virtual machine and container technology and finally tests the CUP and I/O performance of two containers through the special tools.
{"title":"The Performance Comparison of Native and Containers for the Cloud","authors":"X. Xie, Peng Wang, Qi Wang","doi":"10.1109/ICSGEA.2018.00100","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00100","url":null,"abstract":"With the rapid development of cloud computing, virtualization technology as a key technology in cloud computing is also constantly evolving. Virtualization technology has faced a major challenges in the contradiction between application-to-application independence and resource interoperability. As a kind of virtual technology based on operating system, the container perfectly solved the problem of program independence and resource sharing. This paper introduces the current two container technologies: Docker and Rkt. It firstly overviews the traditional virtual machine and container technology and finally tests the CUP and I/O performance of two containers through the special tools.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117130762","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00044
Yongjian Zhao, Bin Jiang
To achieve efficient component pursuit from noisy measurements, a learning algorithm is presented that combines standard gradient principle and the standard stochastic approximations. By extending the linear predictor principle from noise-free case, a proper objective function is introduced which has the same generic form as that for the noise-free case. Extensive computer simulations are performed to illustrate the power of the presented technique.
{"title":"Component Pursuit from Noisy Measurements","authors":"Yongjian Zhao, Bin Jiang","doi":"10.1109/ICSGEA.2018.00044","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00044","url":null,"abstract":"To achieve efficient component pursuit from noisy measurements, a learning algorithm is presented that combines standard gradient principle and the standard stochastic approximations. By extending the linear predictor principle from noise-free case, a proper objective function is introduced which has the same generic form as that for the noise-free case. Extensive computer simulations are performed to illustrate the power of the presented technique.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707908","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00091
L. Jianping, Z. Jisheng, Wang Hua, Sun Xiaoliang, Zhu Lili
Analyzing the key technology of 3D GIS construction and the present situation of expressway 3D geographic information system, the suggestions of expressway 3D geographic information system platform construction are presented in this paper, built the three-dimensional geographic information system platform of the expressway demonstration sections with the support of the actual project.
{"title":"Research on 3D GIS Platform Construction of Expressway Based on 3D Data Model","authors":"L. Jianping, Z. Jisheng, Wang Hua, Sun Xiaoliang, Zhu Lili","doi":"10.1109/ICSGEA.2018.00091","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00091","url":null,"abstract":"Analyzing the key technology of 3D GIS construction and the present situation of expressway 3D geographic information system, the suggestions of expressway 3D geographic information system platform construction are presented in this paper, built the three-dimensional geographic information system platform of the expressway demonstration sections with the support of the actual project.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993429","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00112
Wei Fan, Gerard Huijing, Zhang Xianwei
With the acceleration of social development, the construction projects of the xi'an's construction market are also increasing. Construction projects not only affect the daily life of the citizens in Xi'an, but also bring difficulties to Xi'an's supervision departments. Therefore, the leader of the Xi'an construction market supervision department decides to develop a construction market supervision information system to manage the building projects data and make rapid and accurate judgment on the project management of the building market. The application system contain the site inspection module, the case handling module, the fines payment module and the system configuration module. The application system is based on javaEE web technology platform, and uses Spring MVC, Spring, Shiro, Mybatis technology and Encache technology.
{"title":"The Xi'an Construction Market Supervision Information System","authors":"Wei Fan, Gerard Huijing, Zhang Xianwei","doi":"10.1109/ICSGEA.2018.00112","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00112","url":null,"abstract":"With the acceleration of social development, the construction projects of the xi'an's construction market are also increasing. Construction projects not only affect the daily life of the citizens in Xi'an, but also bring difficulties to Xi'an's supervision departments. Therefore, the leader of the Xi'an construction market supervision department decides to develop a construction market supervision information system to manage the building projects data and make rapid and accurate judgment on the project management of the building market. The application system contain the site inspection module, the case handling module, the fines payment module and the system configuration module. The application system is based on javaEE web technology platform, and uses Spring MVC, Spring, Shiro, Mybatis technology and Encache technology.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117019386","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 : 2018-06-01DOI: 10.1109/icsgea.2018.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icsgea.2018.00003","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00003","url":null,"abstract":"","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129810198","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00101
Xu Jianbo, Yu Sui-huai, Ji Ting, Yu Jing, Qu Wentao
A digital 50th percentile dummy of Chinese males was built, and the AnyBody Modeling System was used for an inverse dynamics simulation of driller operation with a workover rig. The muscle activation degree of relevant muscle groups was used as a core indicator for ergonomic evaluation, to investigate the key layout parameters of the operation cabin—the functional relationship between the position of the brake pedal and the muscle activation degree of relevant muscle groups. Regression analysis was employed to determine the weight coefficient of relevant muscle groups, to build a model for the evaluation of overall comfort level of driller operation, and reveal the muscle fatigue characteristic of muscle groups participating in driller operation, thus providing an accurate basis for the fast screening and optimization of layout plans for operation cabins of workover rigs.
{"title":"A Study of Ergonomic Evaluation with a Simulation Analysis of Workover Rig Driller Operation","authors":"Xu Jianbo, Yu Sui-huai, Ji Ting, Yu Jing, Qu Wentao","doi":"10.1109/ICSGEA.2018.00101","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00101","url":null,"abstract":"A digital 50th percentile dummy of Chinese males was built, and the AnyBody Modeling System was used for an inverse dynamics simulation of driller operation with a workover rig. The muscle activation degree of relevant muscle groups was used as a core indicator for ergonomic evaluation, to investigate the key layout parameters of the operation cabin—the functional relationship between the position of the brake pedal and the muscle activation degree of relevant muscle groups. Regression analysis was employed to determine the weight coefficient of relevant muscle groups, to build a model for the evaluation of overall comfort level of driller operation, and reveal the muscle fatigue characteristic of muscle groups participating in driller operation, thus providing an accurate basis for the fast screening and optimization of layout plans for operation cabins of workover rigs.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634378","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00063
G. Xiong, H. Huang, Y. Zhou
The polymer (SAD) and its cupric complex were prepared and the effects of the temperature and time of reaction on the yield were investigated. Their structures were characterized by IR, elemental analysis and EDS and their properties were analyzed by TGA-DTA, conductive property test and magnetic property test. The result indicated: discovered on the temperature of 100°C and reaction 6h later the maximum yield of SAD is 79.5%. Their hysteresis loops show that SAD is an antiferromagnet while SAD-Cu2+ is a soft ferromagnet, in which the observed coercive field (HC) is 66 Oe, the remnant magnetization (Mr) is 0.00105 emu/g and the saturation magnetization 0.029 emu/g.
{"title":"Synthesis and Properties of Polyer and its Cupric Complex Containing Bithiazole Rings","authors":"G. Xiong, H. Huang, Y. Zhou","doi":"10.1109/ICSGEA.2018.00063","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00063","url":null,"abstract":"The polymer (SAD) and its cupric complex were prepared and the effects of the temperature and time of reaction on the yield were investigated. Their structures were characterized by IR, elemental analysis and EDS and their properties were analyzed by TGA-DTA, conductive property test and magnetic property test. The result indicated: discovered on the temperature of 100°C and reaction 6h later the maximum yield of SAD is 79.5%. Their hysteresis loops show that SAD is an antiferromagnet while SAD-Cu2+ is a soft ferromagnet, in which the observed coercive field (HC) is 66 Oe, the remnant magnetization (Mr) is 0.00105 emu/g and the saturation magnetization 0.029 emu/g.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128114937","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00015
Hongwei Zhang, Lei Chen, Hualei Wang, Yuanyuan Zhao, Longlong Chen, B. Duan
Island operation can ensure the uninterrupted power supply of important loads and improve the system reliability level. This paper studies the islanding problem and the method for calculating the power supply capacity of microgrid is introduced. The islanding model is established based on the equivalent load in isolated islands. Based on the tree-connected graph structure of the distribution network, the island search is performed using the Floyd-Warshall algorithm and the minimum spanning tree method. The concept of island feasible domain is introduced. The depth-first search algorithm is used to determine the feasible island range, which reduces the search space and improves the islanding search efficiency. The islanding model considers the importance of load, power balance, voltage and current constraints, which are in line with the actual project. Finally, an example is used to verify the rationality and effectiveness of the proposed islanding method.
{"title":"Island Partition of Distribution Network with Microgrid and Distributed Generation Based on Floyd-Warshall Algorithm","authors":"Hongwei Zhang, Lei Chen, Hualei Wang, Yuanyuan Zhao, Longlong Chen, B. Duan","doi":"10.1109/ICSGEA.2018.00015","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00015","url":null,"abstract":"Island operation can ensure the uninterrupted power supply of important loads and improve the system reliability level. This paper studies the islanding problem and the method for calculating the power supply capacity of microgrid is introduced. The islanding model is established based on the equivalent load in isolated islands. Based on the tree-connected graph structure of the distribution network, the island search is performed using the Floyd-Warshall algorithm and the minimum spanning tree method. The concept of island feasible domain is introduced. The depth-first search algorithm is used to determine the feasible island range, which reduces the search space and improves the islanding search efficiency. The islanding model considers the importance of load, power balance, voltage and current constraints, which are in line with the actual project. Finally, an example is used to verify the rationality and effectiveness of the proposed islanding method.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767736","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 : 2018-06-01DOI: 10.1109/ICSGEA.2018.00016
Li Yan, Teng Yun, Zhao Liang, Leng Ouyang, Yuan Shun
Due to the intermittent and anti-peaking nature of wind power output, if the power dispatch is aimed at minimizing the amount of wind output, it may cause the thermal power plant output to seriously deviate from the economic operating area, resulting in an increase in system coal consumption. Combining the relevant policies of renewable energy generation in China and the basic objectives and guidelines for energy-saving generation scheduling, a corresponding optimization scheduling model was constructed for two kinds of generation scheduling models based on the minimum amount of abandoned air and the minimum energy consumption; and wind power was studied and proposed. The economic evaluation indicators of system power generation dispatch include wind power utilization, available wind power unit value, system energy consumption and peaking capacity, etc.
{"title":"Peak Load Capacity of Large-Scale Wind Power AC/DC Transmissioning Line Optimization Method","authors":"Li Yan, Teng Yun, Zhao Liang, Leng Ouyang, Yuan Shun","doi":"10.1109/ICSGEA.2018.00016","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00016","url":null,"abstract":"Due to the intermittent and anti-peaking nature of wind power output, if the power dispatch is aimed at minimizing the amount of wind output, it may cause the thermal power plant output to seriously deviate from the economic operating area, resulting in an increase in system coal consumption. Combining the relevant policies of renewable energy generation in China and the basic objectives and guidelines for energy-saving generation scheduling, a corresponding optimization scheduling model was constructed for two kinds of generation scheduling models based on the minimum amount of abandoned air and the minimum energy consumption; and wind power was studied and proposed. The economic evaluation indicators of system power generation dispatch include wind power utilization, available wind power unit value, system energy consumption and peaking capacity, etc.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132999883","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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