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2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)最新文献

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Distributed Optimal Dispatch Method for Smart Community Demand Response Based on Machine Learning 基于机器学习的智能社区需求响应分布式最优调度方法
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475821
Xingyan Liu, Nan Ning, Guohong Wang, Donghang Liu, Keyang Chen, Jie Yuan
{"title":"Distributed Optimal Dispatch Method for Smart Community Demand Response Based on Machine Learning","authors":"Xingyan Liu, Nan Ning, Guohong Wang, Donghang Liu, Keyang Chen, Jie Yuan","doi":"10.1109/CEEPE51765.2021.9475821","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475821","url":null,"abstract":"With the development of power system, accurate demand response business is developing towards diversification, which requires higher reliability and accuracy of demand response. In recent years, machine learning has been a hot topic in the academic field. If the ability of machine learning to learn from the environment and make optimal decisions is applied to the demand response, the demand response business can have a deep understanding of users behavior and make accurate predictions. Combining with the concept of smart community, this paper proposes a distributed optimal dispatch method of demand response based on LSTM and Q-learning algorithm. In this paper, the algorithm is applied to the demand response business planning of an smart community in a city with tropical monsoon climate. The simulation results show that the algorithm is consistent with the facts and has high accuracy.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122800274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Research on the Influence of Summer Temperature on Electricity Demand 夏季气温对电力需求的影响研究
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475693
Qing Liu, Jiangtao Li, X. Tan, Yuelong Jia, Yu Zhang, Guoqiang Ji
{"title":"Research on the Influence of Summer Temperature on Electricity Demand","authors":"Qing Liu, Jiangtao Li, X. Tan, Yuelong Jia, Yu Zhang, Guoqiang Ji","doi":"10.1109/CEEPE51765.2021.9475693","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475693","url":null,"abstract":"The cooling load is the main driving force for the continuous increase of the load during the summer peak period of the power grid. Carrying out the analysis of the impact of summer temperature on electricity consumption is of great significance for ensuring the safe operation of the power grid and scientifically studying the supply and demand situation. Establish an analysis model for the influence of summer temperature on electricity consumption, analyze the sensitivity of temperature and cooling load, and calculate the main factors affecting the increase in summer electricity consumption. The results show that when the maximum temperature and the average temperature increase by 1°C, the cooling load will increase by 2637 and 32.47 million kilowatts respectively; the high temperature in June and August of 2020 will drive the growth of electricity consumption, and the low temperature in July will drag down the growth of electricity consumption.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123060301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An Adaptive Series Active Damper for Stabilizing Grid-Connected System Under Weak Grid 弱电网下稳定并网系统的自适应串联主动阻尼器
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475704
Zhaohui Ni, Yujie Cheng, Jianhua Xu, Hai-xin Cheng, Jianjun Zhou, Song Bai
{"title":"An Adaptive Series Active Damper for Stabilizing Grid-Connected System Under Weak Grid","authors":"Zhaohui Ni, Yujie Cheng, Jianhua Xu, Hai-xin Cheng, Jianjun Zhou, Song Bai","doi":"10.1109/CEEPE51765.2021.9475704","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475704","url":null,"abstract":"With the increasing scale of the distributed power generation, the grid which inverter connected to gradually turns out to be a weak grid. The adaptability of the grid-connected inverter can be improved by adding a series active damper (SAD). The equivalent impedance model is first established based on the proposed topology and control strategy. In order to further enhance the damping capacity, an adaptive tuning method of the virtual impedance is put forward on the basis of utilizing the self-impedance of SAD. Experimental results finally validate the effectiveness of the proposed control scheme of SAD.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Thermal Analysis of Permanent Magnet Synchronous In-Wheel Motor Based on Thermal Network Method 基于热网络法的永磁同步轮内电机热分析
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475562
Guoqing Hu, Z. Wei, Xi Chen, Yakun Zhou
{"title":"The Thermal Analysis of Permanent Magnet Synchronous In-Wheel Motor Based on Thermal Network Method","authors":"Guoqing Hu, Z. Wei, Xi Chen, Yakun Zhou","doi":"10.1109/CEEPE51765.2021.9475562","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475562","url":null,"abstract":"Because of its ultra-high energy efficiency and low emissions, new energy vehicles have become the best technological way to achieve low carbon emissions and high efficiency in the automobile industry. But the permanent magnet synchronous in-wheel motor is directly installed in the wheel hub, so that its temperature rise is higher than other vehicle drive motors. In this paper, the permanent magnet synchronous in-wheel motor was simulated based on the thermal network method in Motor-CAD, the heating situation of the permanent magnet synchronous in-wheel motor was analysed, and the best cooling system was selected based on Taguchi method. Finally, the optimum scheme is determined as follows: the channel type is circumferential C-shape, the cooling medium is water, and the coolant flow rate is 14L/min.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123326626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal Dynamic Topology Evolution of Distribution Network With High Penetration of Renewable Energy 可再生能源高渗透配电网最优动态拓扑演化
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475829
Yuqi Wang, Jinfu Chen, D. Shi, Li Wang, Shaofan Zhang, Cong Wang
{"title":"Optimal Dynamic Topology Evolution of Distribution Network With High Penetration of Renewable Energy","authors":"Yuqi Wang, Jinfu Chen, D. Shi, Li Wang, Shaofan Zhang, Cong Wang","doi":"10.1109/CEEPE51765.2021.9475829","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475829","url":null,"abstract":"The goal of optimal dynamic topology evolution is to establish a distribution network which accommodates a high penetration of renewable energy with least cost. In this paper, the evolution process is formulated as a bi-level optimization model. The upper-level model optimizes the location and size of renewable distributed generation (RDG) as well as flexible resources and aims to minimize the total cost of evolution. Besides, out of simplification, the upper-level model discretizes the continues evolution process into several stages and becomes an integer programming solved by an improved genetic algorithm (GA). The lower-level model is a linear programming after the linearization of nonconvex constraints and minimizes the operation cost of the distribution system. In order to handle the uncertainty in distribution system, an hourly simulation is performed in the lower-level model which is solved by SeDuMi. Finally, the model is applied to a 13-bus distribution network to show its effectiveness.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probabilistic Energy Flow of Integrated Electricity and Heat Systems with Quantile-based Quasi Monte Carlo Simulation 基于分位数的准蒙特卡罗模拟的综合电、热系统的概率能量流
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475726
Yunyi Li, C. Wan, Dawei Chen, Yuqi Xu, Lebing Zhao
{"title":"Probabilistic Energy Flow of Integrated Electricity and Heat Systems with Quantile-based Quasi Monte Carlo Simulation","authors":"Yunyi Li, C. Wan, Dawei Chen, Yuqi Xu, Lebing Zhao","doi":"10.1109/CEEPE51765.2021.9475726","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475726","url":null,"abstract":"The strong uncertainty in both supply and demand poses acute challenge to the secure and economic operation of the integrated energy system, which requires a probabilistic energy flow (PEF) method with high accuracy to support various decision-making problems. However, nonparametric probabilistic forecasting of load and renewable energy generation has not been fully studied in the PEF problem. In this paper, an improved PEF method based on quasi Monte Carlo simulation (QMCS) and quantiles obtained from nonparametric probabilistic forecasting is proposed to enhance the accuracy and computational efficiency. The proposed method makes full use of the distribution information provided by quantiles of random variables including renewable energy generation and multi-energy demand, and significantly reduces the computational burden with low discrepancy sequences. Comprehensive numerical results on the integrated electricity and heat system demonstrate the superiority of the proposed method.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133715585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of Duty Cycle and Junction Temperature on Dynamic Threshold Drift of SiC MOSFET 占空比和结温对SiC MOSFET动态阈值漂移的影响
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475706
Chao Xu, Xiaohan Zhong, Huaping Jiang, Guanqun Qiu, Lei Tang, L. Ran
{"title":"Impact of Duty Cycle and Junction Temperature on Dynamic Threshold Drift of SiC MOSFET","authors":"Chao Xu, Xiaohan Zhong, Huaping Jiang, Guanqun Qiu, Lei Tang, L. Ran","doi":"10.1109/CEEPE51765.2021.9475706","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475706","url":null,"abstract":"Silicon carbide (SiC) power MOSFETs are gradually being put into the market due to their superior performance, and their threshold voltage instability issues during long-term operation attract electrical engineer’s attention. In this conference, the threshold voltage drift caused by the long-term dynamic gate stress at room temperature and high temperature is investigated. Besides, the effects of dynamic gate stress with different duty cycles on the threshold voltage drift are experimentally studied. It is found that a more negative threshold voltage drift is observed at high temperatures compared with the drift at room temperature. Moreover, the duty cycle only affects the dynamic threshold voltage drift in the range of 0 to 5% and 95% to 100%. These results help to understand the causes and characteristics of the dynamic threshold voltage drift.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132616368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Research on Transmission Line Vibration Condition Monitoring System and Energy Management Scheme Based on Micro Energy Harvesting 基于微能量采集的输电线路振动状态监测系统及能量管理方案研究
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475557
Liu Chunlong, H. Hui, Liang Yun, Liu Hongjing, Ye Kuan, Liu Kewen
{"title":"Research on Transmission Line Vibration Condition Monitoring System and Energy Management Scheme Based on Micro Energy Harvesting","authors":"Liu Chunlong, H. Hui, Liang Yun, Liu Hongjing, Ye Kuan, Liu Kewen","doi":"10.1109/CEEPE51765.2021.9475557","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475557","url":null,"abstract":"In view of the problem that the current transformer is mainly used in the existing transmission line vibration condition monitoring system, which is easily affected by the line load and has the problem of missing report, this paper proposes a new design scheme of transmission line vibration condition monitoring system based on micro energy collection. In this scheme, the vibration energy of transmission line is collected to obtain electric energy, and then a micro energy management circuit based on logic device is used to control the accumulation of weak energy and the power supply to the load. Finally, the sensor node can start to work when the line vibrates, so as to avoid the influence of line load on the condition monitoring system, avoid the omission of vibration data, and improve the system reliability. The experimental results show that the system can realize the condition monitoring of transmission line when the vibration frequency is 100Hz and the vibration intensity is 0.5g, 0.8g and 1g. The sampling interval is 21s, 17s and continuous sampling respectively.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132624888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis of the Influence of Deep Peak Shaving on the Operation Characteristics of Thermal Power Generator 深调峰对火电机组运行特性的影响分析
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475563
B. Jie, Zhang Yaowen, Wang Lei, Zhao Jun
{"title":"Analysis of the Influence of Deep Peak Shaving on the Operation Characteristics of Thermal Power Generator","authors":"B. Jie, Zhang Yaowen, Wang Lei, Zhao Jun","doi":"10.1109/CEEPE51765.2021.9475563","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475563","url":null,"abstract":"With the development of the power system, the peak-to-valley difference of the operating load is increasing. It leads to higher amplitude of peak shaving and much more difficulty for improving this situation. At present, the installed capacity and power generation capability of thermal power units still play an important role in the whole power system. Thus, depending on deep peak-shaving of large thermal power units is the fundamental way to solve the problem. However, deep peak shaving devices will inevitably have a wide range of rapid changes on loads, which will cause a series of issues, such as efficiency of power generation decreasing and vibration increasing. In this article, combined with the typical accident case of the strand break of the power generation transformer, the influence of the local stress concentration caused by the alternating vibration load and deep peak shaving on the power generation transformer is analyzed. Meantime, in order to satisfy the requirements of rapid changes in large-scale deep peak shaving, the operation precautions and optimization directions of the transformer are proposed.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132895241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Field Uniformity Simulation of Generator Rotor Reverberation Chamber in High Frequency 发电机转子混响室高频场均匀性仿真
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2021-04-23 DOI: 10.1109/CEEPE51765.2021.9475673
Haonan Guo, Jun Zhao, Dapeng Xu, J. Bai, Yaowen Zhang, Jiayu Zhang
{"title":"Field Uniformity Simulation of Generator Rotor Reverberation Chamber in High Frequency","authors":"Haonan Guo, Jun Zhao, Dapeng Xu, J. Bai, Yaowen Zhang, Jiayu Zhang","doi":"10.1109/CEEPE51765.2021.9475673","DOIUrl":"https://doi.org/10.1109/CEEPE51765.2021.9475673","url":null,"abstract":"A reverberation chamber field uniformity simulation designed for generator rotor is introduced in this paper. With electric magnetic simulation software CST STUDIO, a model of reverberation chamber is created, and field uniformity simulation is taken in the frequency channel from 1 GHz to 1.2 GHz. The standard deviation of field uniformity is computed by means of simulating electric field strength in 9 test positions of the workplace. The results present that the performance of this reverberation chamber conforms to the request of RTCA/DO-160G and have promising further usage in generator rotor simulation.","PeriodicalId":308213,"journal":{"name":"2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133116199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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