{"title":"Detection of Abnormal Data Flow at Network Boundary of Renewable Energy Power System","authors":"Zhang Lingkang, L. Yuwei, Jiang Xue","doi":"10.1109/AUTEEE50969.2020.9315697","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315697","url":null,"abstract":"As more and more renewable energy stations are built and access the power grid, the network security risks of renewable energy power systems are increasing. This paper analyzes the typical network attacks that renewable energy plants face and researches the network boundary abnormal data flow detection technology to realize the identification of potential threats and improve the level of network security protection for renewable energy power system.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"5 1","pages":"309-312"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79685410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Motion Planning of Hexapod Robot in the Non-Structurual Condition","authors":"Yanan Miao","doi":"10.1109/AUTEEE50969.2020.9315658","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315658","url":null,"abstract":"The hexapod robot has the advantages of flexible control and strong ground adaptability, and is very suitable for unstructured ground environments. In this paper, based on the hexagonal hexapod robot movement in unstructured terrain, we propose a differential method that could determine the location information of the body and the end of foot when the robot is walking in unstructured environment, A D-H coordinate system is built based on the forward and inverse kinematics solver. By conducting homogeneous transformation to the respective coordinates of each leg, the robot achieved its gait planning strategies with self- recognition in the non-structural terrain. Satisfactory results obtained from ADAMS simulation have lay the foundation for the practical application.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"50 1","pages":"200-204"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84675793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Implementation of Energy Storage Photovoltaic Grid-Connected Power Generation System","authors":"Z. Guan, Feng Tian","doi":"10.1109/AUTEEE50969.2020.9315693","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315693","url":null,"abstract":"This paper presents an energy storage photovoltaic grid-connected power generation system. The main power circuit uses a two-stage non-isolated full-bridge inverter structure, and the main control chip is STM32F407. The two coupling modes of the energy storage device are analyzed and compared. The DC-side coupling mode is selected. When the grid is charging the battery, in order to improve the charging efficiency and stability, an independent AC-DC charging circuit is added. The overall structure of the system was designed, and the hardware circuits of each part of the system were researched and designed, including various converter circuits, isolation and drive circuits, and signal conditioning and acquisition circuits. Finally, an experimental prototype was built for verification. The experimental results show that the system is stable and easy to control, it provides a set of feasible and practical design solutions for energy storage photovoltaic grid-connected systems.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"79 1","pages":"61-66"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82586556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The hybridized slime mould and particle swarm optimization algorithms","authors":"Zheng-Ming Gao, Juan Zhao, Suruo Li","doi":"10.1109/AUTEEE50969.2020.9315694","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315694","url":null,"abstract":"Literal researches have proved that most of the algorithms are not capable to solve the problems whose solutions are not locating at the Origin. Due to the large ratio for individuals to maintain their historical trajectories in swarms of the slimed mould (SM), the SM algorithms would perform even worse. Therefore, in this paper, the historical best trajectories were introduced to take part in the updating procedure for positions of individuals in swarms. Simulation experiments were carried out and the final results proved that the improved algorithm could increase capabilities of optimization for those non-symmetric problems.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"16 1","pages":"304-308"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90114366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge Graph Oriented Anti-ship Combat Command Information Ontology Model","authors":"Wenxin Lu, Zongzhe Nie, Yiwei Lu, Yi Li","doi":"10.1109/AUTEEE50969.2020.9315561","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315561","url":null,"abstract":"Aiming at the lack of standard knowledge representation framework in the construction of anti-ship combat knowledge graph, this paper proposes a knowledge representation model for anti-ship combat command based on ontology. The model extracts the high-dimensional concept space of operational command domain knowledge from the process of command information generation, and uses through logical modeling, then classifies concept categories and levels according to meta characteristics and abstract degree, so as to reduce the dimension of concept space. On this basis, ontology semantic model is constructed to extract and describe entities, attributes, relationships and other knowledge units in command information. It is proved that the model can extract and describe the domain knowledge of command information completely, and it is scientific and adaptive as the knowledge representation framework of anti-ship combat knowledge graph.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"69 1","pages":"55-60"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90453055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of PoisonIvy Virus and Research on Anti-anti-virus Methods","authors":"Zhang Long, Li Baixue","doi":"10.1109/AUTEEE50969.2020.9315727","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315727","url":null,"abstract":"In this paper, PoisonIvy Trojan horse virus is used as a sample, using the technology of adding shell, clearing the feature code, adding junk instruction to avoid being killed. The experimental results show that PoisonIvy virus can successfully avoid the killing of velvet and 360 anti-virus software. Anti-anti-virus technology can make a virus break through the defense of anti-virus software, so that anti-virus software can not find the virus that has been treated. The significance of this paper is to explore the principle and method of anti-virus technology, so as to promote the anti-virus software to find and defend viruses more effectively.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"110 1 Pt 1 1","pages":"413-417"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89748368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Demand Response against Predictable Sudden Load Changes","authors":"Zhidong Ding, Yaping Li, Kaifeng Zhang","doi":"10.1109/AUTEEE50969.2020.9315619","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315619","url":null,"abstract":"Sudden load changes will adversely affect the active balance power grid, they have a great influence on the load, transmission line, and generator set. Some load changes are remarkably predictable, such as the load changes due to peak and valley electricity prices. Because of the fast adjustment of dynamic demand response and the large number of users willing to participate in demand response, dynamic demand response can be used to slow down the degree of sudden load changes. To mitigate the impact of predictable load changes, this paper proposes a new solution by using dynamic demand resources. First, predictable load changes that relate to electricity prices are established based on actual historical data. The impact of the sudden load changes on the local distribution network is also analyzed. Then, a response mechanism for dynamic demand response is proposed. Finally, a function that takes into account the benefits of the power grid, the dynamic demand response subsidy and the slope of the daily load curve is given, and then an optimization model is established according to the constraints of the power grid itself, and the output of the dynamic demand response is given using genetic algorithms. The simulation results prove that the proposed response mechanism can effectively solve the predictable sudden load changes caused by electricity prices.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"6 1","pages":"183-188"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89918719","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}
X. Yue, Lin Mengyu, Chen Weimin, Yao Li, Zhang Jiangming, Ni Linna
{"title":"Research on the Effect of Ramp Waveform with Ripple on Electric Energy Measurement in Subway DC Power Supply","authors":"X. Yue, Lin Mengyu, Chen Weimin, Yao Li, Zhang Jiangming, Ni Linna","doi":"10.1109/AUTEEE50969.2020.9315675","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315675","url":null,"abstract":"During the start and stop of the subway, the current and voltage ramp waveforms with ripples frequently appear on the bus of DC power supply. These waveforms are different from the common DC power supply operating waveforms, so it is necessary to investigate their effect on DC energy measurement. The normalized coefficient method is used to derive the expressions of the three main energy measurement algorithms including the mean algorithm, the RMS algorithm, and the instantaneous integration algorithm. The expressions contain the waveform ramp and ripple parameters. The theoretical errors of different energy measurement algorithms are calculated with the ramp and ripple parameters as variables, and the corresponding measurement error graph is obtained. Then, the typical parameters are used for the subway traction power supply system modelling, and the subway DC power current and voltage simulation ramp waveforms with ripples are obtained. Finally, according to the simulation waveforms, the error results of different energy measurement algorithms are obtained, and these results are consistent with the theoretical errors. The results show that the measurement accuracy of the mean algorithm is high when the ripple is small, but the measurement error of RMS algorithm is relatively larger. The normalized ripple amplitude has a greater impact on the energy measurement error than the normalized slope. The instantaneous integration algorithm is suitable for the energy measurement of the DC power supplied subway. This provides a reference for the selection of the measurement algorithm of the DC energy meter used in the subway.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"31 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91291383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cross-provincial Day-ahead to Intra-day Scheduling Method Considering Forecasting Uncertainty of New Energy","authors":"Zhi Cai, Yuxuan Li, Dan Xu, Guofang Zhang, Lun Tang, Xiaming Guo","doi":"10.1109/AUTEEE50969.2020.9315598","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315598","url":null,"abstract":"There are generally large errors between forecast and actual values of new energy power in the dayahead stage, which may cause curtailment of wind power and photovoltaic power due to the insufficient reserve of provincial power grids in the intra-day stage. Therefore, multi-time scale multi-province coordinative day-ahead and intra-day scheduling model considering the uncertainty of new energy prediction is proposed in this paper: Considering the possible errors of new energy prediction in the day-ahead stage, a multi-provincial robust unit commitment model is established to provide sufficient reserves for new energy consumption; the tie-line scheduling and unit output in the intra-day stage according to ultra-short-term predicted data of new energy is adjusted to establish an intra-day scheduling model considering tie-line power flow control. The proposed model is applied to the actual calculation example in a certain region of China, the results of which show that the model can give play to the mutual aid of interconnected power grids and effectively improve the consumption level of new energy.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"3 1","pages":"67-72"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87173480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Green Suppliers Selection Based on Hesitant Fuzzy Linguistic PROMETHEE Method","authors":"Tongtong Nie, Huiqing Yu","doi":"10.1109/AUTEEE50969.2020.9315537","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315537","url":null,"abstract":"With the increasing awareness of global environmental protection, people pay more and more attention to the selection of green suppliers. In addition to choosing the right suppliers, the buyers pay more attention to the green suppliers. To solve this problem, we use PROMETHEE method and hesitant fuzzy linguistic to study. Hesitation and language are good at converting language terms into clear, simple forms of computation. PROMETHEE defines the net flow of a scheme and gives the full order of all schemes, because different hesitant fuzzy linguistic can not be calculated directly, this paper uses hesitant fuzzy linguistic PROMETHEE method to study the green supplier selection.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"21 1","pages":"77-81"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86429357","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}