Pub Date : 2018-06-01DOI: 10.1109/CCDC.2018.8407493
Liang Wang, Yuxin Shi, Weidong Guo, Zheng Yang, Rui Li
Detecting the UHF (Ultra-High Frequency) electromagnetic wave has been widely used in the measurement of various types of partial discharges in GIS (Gas Insulated Switchgear). A lot of insulators of GIS are surrounded by iron hoops in recent years, which can prevent electromagnetic wave from spreading out extremely. So it's difficult to detect the electromagnetic wave from the surface of the insulator. It is a new method to detect the electromagnetic wave diffusing from the pouring aperture in the iron hoop. However, propagation feature of UHF electromagnetic wave diffusing from pouring aperture is undiscovered due to the tiny dimension and special configuration. It's essential to develop an UHF transducer exclusively used in detecting UHF electromagnetic wave diffusing from pouring aperture. Propagation feature was simulated by FDTD (finite-difference-time-domain) method. The UHF transducer of dipole antenna was developed based on the software of CST (Computer Simulation Technology). Ultimately, detection sensibility and validity of the transducer was tested via an experimental platform of 110kV GIS. It is concluded that the electric field principal component of UHF electromagnetic wave diffusing from the pouring aperture is parallel to the short edge of pouring aperture. The primary frequency range is concentrated in 0.8-2GHz. The average equivalent height of the dipole antenna transducer achieves 8.1mm in the range of 0.8-2GHz. Partial discharge detecting sensitivity of the dipole antenna transducer detecting the partial discharge UHF signal can be lower than 25pC.
{"title":"Research on partial discharge detection through ultra high frequency signal diffusing from GIS pouring aperture","authors":"Liang Wang, Yuxin Shi, Weidong Guo, Zheng Yang, Rui Li","doi":"10.1109/CCDC.2018.8407493","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407493","url":null,"abstract":"Detecting the UHF (Ultra-High Frequency) electromagnetic wave has been widely used in the measurement of various types of partial discharges in GIS (Gas Insulated Switchgear). A lot of insulators of GIS are surrounded by iron hoops in recent years, which can prevent electromagnetic wave from spreading out extremely. So it's difficult to detect the electromagnetic wave from the surface of the insulator. It is a new method to detect the electromagnetic wave diffusing from the pouring aperture in the iron hoop. However, propagation feature of UHF electromagnetic wave diffusing from pouring aperture is undiscovered due to the tiny dimension and special configuration. It's essential to develop an UHF transducer exclusively used in detecting UHF electromagnetic wave diffusing from pouring aperture. Propagation feature was simulated by FDTD (finite-difference-time-domain) method. The UHF transducer of dipole antenna was developed based on the software of CST (Computer Simulation Technology). Ultimately, detection sensibility and validity of the transducer was tested via an experimental platform of 110kV GIS. It is concluded that the electric field principal component of UHF electromagnetic wave diffusing from the pouring aperture is parallel to the short edge of pouring aperture. The primary frequency range is concentrated in 0.8-2GHz. The average equivalent height of the dipole antenna transducer achieves 8.1mm in the range of 0.8-2GHz. Partial discharge detecting sensitivity of the dipole antenna transducer detecting the partial discharge UHF signal can be lower than 25pC.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121324203","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/CCDC.2018.8407041
Ze Qing, Ming Zhu, Zhe Wu
An autonomous vehicle landing control algorithm of a quadrotor is investigated for the situation when the quadrotor hovers above the vehicle in this paper. To facilitate the controller design, the problem of autonomous landing is converted from general trajectory tracking problem of a quadrotor to a stabilization problem of relative motion. A four-degrees-of-freedom (4-DOF) nonlinear relative motion model with four control inputs is estimated. An adaptive radial basis function neural network (RBFNN) is developed to estimate the unknown disturbance and is applied to design the controller through a backstepping technique. It is proved that all the states in the closed-loop system are uniformly ultimately bounded and the error converges to a small neighborhood of origin. Numerical simulation results illustrate the good performance of the proposed controller.
{"title":"Adaptive neural network control for a quadrotor landing on a moving vehicle","authors":"Ze Qing, Ming Zhu, Zhe Wu","doi":"10.1109/CCDC.2018.8407041","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407041","url":null,"abstract":"An autonomous vehicle landing control algorithm of a quadrotor is investigated for the situation when the quadrotor hovers above the vehicle in this paper. To facilitate the controller design, the problem of autonomous landing is converted from general trajectory tracking problem of a quadrotor to a stabilization problem of relative motion. A four-degrees-of-freedom (4-DOF) nonlinear relative motion model with four control inputs is estimated. An adaptive radial basis function neural network (RBFNN) is developed to estimate the unknown disturbance and is applied to design the controller through a backstepping technique. It is proved that all the states in the closed-loop system are uniformly ultimately bounded and the error converges to a small neighborhood of origin. Numerical simulation results illustrate the good performance of the proposed controller.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127450033","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/CCDC.2018.8407468
Haolun Wang, Ranjun Deng
This paper presented an approach of linguistic group decision-making based on combination weighting 2-tuple linguistic VIKOR. Firstly, the 2-tuple linguistic is used to cope with assessment information of attribute values and weights that represented with linguistic variable. Subjective weights of attribute are calculated by using the weighted averaging operator for 2-tuple linguistic and the objective weights of attribute are determined based on the statistical variance. And subjective weight and objective weight are integrated into combination weight. Then, through the 2-tuple linguistic VIKOR method, the compromise ranking result of alternatives can be determined. Finally, an example analysis is given to illustrate the validity and applicability of the proposed method.
{"title":"Approach of linguistic group decision making based on combination weighting 2-tuple linguistic VIKOR","authors":"Haolun Wang, Ranjun Deng","doi":"10.1109/CCDC.2018.8407468","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407468","url":null,"abstract":"This paper presented an approach of linguistic group decision-making based on combination weighting 2-tuple linguistic VIKOR. Firstly, the 2-tuple linguistic is used to cope with assessment information of attribute values and weights that represented with linguistic variable. Subjective weights of attribute are calculated by using the weighted averaging operator for 2-tuple linguistic and the objective weights of attribute are determined based on the statistical variance. And subjective weight and objective weight are integrated into combination weight. Then, through the 2-tuple linguistic VIKOR method, the compromise ranking result of alternatives can be determined. Finally, an example analysis is given to illustrate the validity and applicability of the proposed method.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127512931","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/CCDC.2018.8407118
Jiakun Wang, Xinhua Wang, Hao Yu, Li Bai
Human behavior is often influenced by several external factors and there are some similarities between the information spreading and the human behavior dissemination. In this paper, we propose a novel susceptible- negative/positive-recovered-susceptible (SN/PRS) model to depict human behavior disseminating in social networks from microscopical view. Different from previous literature, the discrete SN/PRS model considers the neutralization reaction of multiple behavior, and the marginal diminishing effect. Then the influences of topology structure, degree and ratio of initial fixed infected nodes on system stability are investigated. Results display that the density of two kinds of spreaders have similar periodic oscillations, but various phase diagrams during the behavior disseminating process in different networks. Finally, the countermeasures to prevent the outbreak of negative behavior are proposed respectively.
{"title":"Multiple disseminating dynamics of human behavior in social network","authors":"Jiakun Wang, Xinhua Wang, Hao Yu, Li Bai","doi":"10.1109/CCDC.2018.8407118","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407118","url":null,"abstract":"Human behavior is often influenced by several external factors and there are some similarities between the information spreading and the human behavior dissemination. In this paper, we propose a novel susceptible- negative/positive-recovered-susceptible (SN/PRS) model to depict human behavior disseminating in social networks from microscopical view. Different from previous literature, the discrete SN/PRS model considers the neutralization reaction of multiple behavior, and the marginal diminishing effect. Then the influences of topology structure, degree and ratio of initial fixed infected nodes on system stability are investigated. Results display that the density of two kinds of spreaders have similar periodic oscillations, but various phase diagrams during the behavior disseminating process in different networks. Finally, the countermeasures to prevent the outbreak of negative behavior are proposed respectively.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127526059","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/CCDC.2018.8407421
Hong Zhao, Peng Luo, Ning Wang, Zhongjiu Zheng, Yiting Wang
In order to make the Permanent Magnet Synchronous Motor (PMSM) propulsion system operate normally when its position sensor failure occurs, the Model Reference Adaptive System (MRAS) observer estimation algorithm is put forward to estimate the rotor speed and the rotor angle thus enhancing the fault-tolerant capability of the whole propulsion system. However, under the PMSM servo control system which is based on SVPWM control strategy, the traditional PI controller has the disadvantages of weak robustness and poor anti-interference ability. Therefore, the Fuzzy Logic Control (FLC) is proposed to improve the control effect and enhance the robustness of the system. Finally, a simulation model based on the complete system combining the FLC and the MRAS observer is established in the Matlab/Simulink environment to testify the proposed strategy. Simulation results show that the proposed strategy can not only improve the dynamic performance and anti-interference ability of the PMSM control system greatly, but also estimate the rotor speed and angle effectively when the position sensor fails, thus the fault-tolerant capability of the whole propulsion system can be enhanced.
{"title":"Fuzzy logic control of the fault-tolerant PMSM servo system based on MRAS observer","authors":"Hong Zhao, Peng Luo, Ning Wang, Zhongjiu Zheng, Yiting Wang","doi":"10.1109/CCDC.2018.8407421","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407421","url":null,"abstract":"In order to make the Permanent Magnet Synchronous Motor (PMSM) propulsion system operate normally when its position sensor failure occurs, the Model Reference Adaptive System (MRAS) observer estimation algorithm is put forward to estimate the rotor speed and the rotor angle thus enhancing the fault-tolerant capability of the whole propulsion system. However, under the PMSM servo control system which is based on SVPWM control strategy, the traditional PI controller has the disadvantages of weak robustness and poor anti-interference ability. Therefore, the Fuzzy Logic Control (FLC) is proposed to improve the control effect and enhance the robustness of the system. Finally, a simulation model based on the complete system combining the FLC and the MRAS observer is established in the Matlab/Simulink environment to testify the proposed strategy. Simulation results show that the proposed strategy can not only improve the dynamic performance and anti-interference ability of the PMSM control system greatly, but also estimate the rotor speed and angle effectively when the position sensor fails, thus the fault-tolerant capability of the whole propulsion system can be enhanced.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124798409","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/CCDC.2018.8407171
Sheng Chen, Min Huang
For the market allocation efficiency of existing multi-unit double auction mechanism is low when the number of seller is small, which is not conducive to maximize the social welfare and utilities of buyers and sellers. In order to enable more agents to participate in the final allocation and improve social welfare, the multi-unit double auctions with quantity discount (MDAQD) is designed. The model is established by integer programming. The MDAQA mechanism is individual rational, budget balance, allocative effective and incentive compatibility. By designing the numerical examples and comparing the results without considering the quantity discounts, the allocation efficiency and social welfare of the new mechanism are significantly improved.
{"title":"Truthful multi-unit double auctions with quantity discount","authors":"Sheng Chen, Min Huang","doi":"10.1109/CCDC.2018.8407171","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407171","url":null,"abstract":"For the market allocation efficiency of existing multi-unit double auction mechanism is low when the number of seller is small, which is not conducive to maximize the social welfare and utilities of buyers and sellers. In order to enable more agents to participate in the final allocation and improve social welfare, the multi-unit double auctions with quantity discount (MDAQD) is designed. The model is established by integer programming. The MDAQA mechanism is individual rational, budget balance, allocative effective and incentive compatibility. By designing the numerical examples and comparing the results without considering the quantity discounts, the allocation efficiency and social welfare of the new mechanism are significantly improved.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124817319","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}
Maximum daily load forecasting is of great significance in power system dispatching. First, electric load characteristics are analysed in this paper. Second, maximum load and weather factors are selected as the input of the maximum incremental load forecasting regression model, and the mapping relationship between input and output is established by least squares support vector machine (LS-SVM). Then, the modified date type normalization of rest days is proposed according to load change regulation in summer. Moreover, the effect of accumulated temperature is considered to reduce the model prediction error. Finally, numerical tests demonstrated the efficiency of the proposed model.
{"title":"Maximum daily load forecasting based on support vector regression considering accumulated temperature effect","authors":"Qirong Lin, Qiaoqiao Wang, Guilin Zhang, Yu Shi, Hongxia Liu, Lijun Deng","doi":"10.1109/CCDC.2018.8408035","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408035","url":null,"abstract":"Maximum daily load forecasting is of great significance in power system dispatching. First, electric load characteristics are analysed in this paper. Second, maximum load and weather factors are selected as the input of the maximum incremental load forecasting regression model, and the mapping relationship between input and output is established by least squares support vector machine (LS-SVM). Then, the modified date type normalization of rest days is proposed according to load change regulation in summer. Moreover, the effect of accumulated temperature is considered to reduce the model prediction error. Finally, numerical tests demonstrated the efficiency of the proposed model.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124891963","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/ccdc.2018.8407753
C. Pan, Shaozheng Yu, Xiaojing Du
In order to improve the layout planning in warehouse, mathematical model and simulation model are built on the basis of traditional system layout planning (SLP) method. Because of the low efficiency of simulation calculation, this paper proposes a two-stage optimization method based on genetic algorithm and simulation method. Finally, this paper proposes reasonable layout planning of warehouse in the case study. According to the results, the two-stage optimization method avoids the interference of human factors that exists in the traditional SLP method, and with the advantages of mathematical model and simulation model, it can get more integrated and more logical layout planning. The satisfactory solution which is got in a certain time guarantees the efficiency of calculation.
{"title":"Optimization of warehouse layout based on genetic algorithm and simulation technique","authors":"C. Pan, Shaozheng Yu, Xiaojing Du","doi":"10.1109/ccdc.2018.8407753","DOIUrl":"https://doi.org/10.1109/ccdc.2018.8407753","url":null,"abstract":"In order to improve the layout planning in warehouse, mathematical model and simulation model are built on the basis of traditional system layout planning (SLP) method. Because of the low efficiency of simulation calculation, this paper proposes a two-stage optimization method based on genetic algorithm and simulation method. Finally, this paper proposes reasonable layout planning of warehouse in the case study. According to the results, the two-stage optimization method avoids the interference of human factors that exists in the traditional SLP method, and with the advantages of mathematical model and simulation model, it can get more integrated and more logical layout planning. The satisfactory solution which is got in a certain time guarantees the efficiency of calculation.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125938198","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/CCDC.2018.8408079
Xiaoxiao Qi, Wen-Lung Huang, Huaqiang Li, Yongjun Yu, Dagui Liu
The power grid security risk assessment is of great significance for preventing catastrophic failures. Due to the shortcomings of the existing security risk assessment methods in comparability and understandability of severity index, a security risk assessment method based on fuzzy cluster analysis is put forward. The method uses operational reliability theory, to build the grid failure model. based on the entropy theory, building system state entropy overcomes the shortage of traditional severity model which consider state homogeneity insufficiently. Refer to the comparability of index, using the fuzzy cluster method calculate global system severity index. Through analyzing the IEEE30 system simulation, it proves that the method can effectively identify N-1 and N-k contingency risks.
{"title":"Power grid security risk assessment based on fuzzy cluster and state homogeneity","authors":"Xiaoxiao Qi, Wen-Lung Huang, Huaqiang Li, Yongjun Yu, Dagui Liu","doi":"10.1109/CCDC.2018.8408079","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408079","url":null,"abstract":"The power grid security risk assessment is of great significance for preventing catastrophic failures. Due to the shortcomings of the existing security risk assessment methods in comparability and understandability of severity index, a security risk assessment method based on fuzzy cluster analysis is put forward. The method uses operational reliability theory, to build the grid failure model. based on the entropy theory, building system state entropy overcomes the shortage of traditional severity model which consider state homogeneity insufficiently. Refer to the comparability of index, using the fuzzy cluster method calculate global system severity index. Through analyzing the IEEE30 system simulation, it proves that the method can effectively identify N-1 and N-k contingency risks.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126072014","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/CCDC.2018.8407778
Zhiyu He, Zhijie Yang, Jingyang Lv
This paper studies the optimal operation strategy to minimize the energy consumption of high-speed train running between adjacent stations. The characteristics of high-speed trains, including traction characteristic and regenerative braking, and the railway geographical conditions are fully considered in the dynamic model. Based on discretization analysis of the route, a novel optimal operating strategy consisting of a global optimization process and a further optimization process is developed to reduce the energy consumption. In the global optimization process, genetic algorithm is applied to search the optimal speed at each end of subsection in fixed time. Then, the optimization strategy is further studied to search the speed serial to improve the train operation process. To verify the effectiveness of the proposed operating strategy, the optimization strategy is simulated, and the operation performance of CRH-3 is tested. In comparison to regular train operation strategies, the proposed operation strategy is proved to obtain the favorable results for high-speed trains. And the simulating operation results meet the requirements of time, comfort and energy consumption.
{"title":"An energy-efficient operation strategy for high-speed trains","authors":"Zhiyu He, Zhijie Yang, Jingyang Lv","doi":"10.1109/CCDC.2018.8407778","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407778","url":null,"abstract":"This paper studies the optimal operation strategy to minimize the energy consumption of high-speed train running between adjacent stations. The characteristics of high-speed trains, including traction characteristic and regenerative braking, and the railway geographical conditions are fully considered in the dynamic model. Based on discretization analysis of the route, a novel optimal operating strategy consisting of a global optimization process and a further optimization process is developed to reduce the energy consumption. In the global optimization process, genetic algorithm is applied to search the optimal speed at each end of subsection in fixed time. Then, the optimization strategy is further studied to search the speed serial to improve the train operation process. To verify the effectiveness of the proposed operating strategy, the optimization strategy is simulated, and the operation performance of CRH-3 is tested. In comparison to regular train operation strategies, the proposed operation strategy is proved to obtain the favorable results for high-speed trains. And the simulating operation results meet the requirements of time, comfort and energy consumption.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123261721","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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