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2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)最新文献

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SPIES 2021 Title Page 间谍2021
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/spies52282.2021.9633805
{"title":"SPIES 2021 Title Page","authors":"","doi":"10.1109/spies52282.2021.9633805","DOIUrl":"https://doi.org/10.1109/spies52282.2021.9633805","url":null,"abstract":"","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124491412","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
Winding Temperature Rise Field Synergy Analysis of Nano-two-phase Magnetic Fluid Transformer 纳米两相磁流体变压器绕组温升场协同分析
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633897
Yongteng Jing, Jinglin Cao, Yan Li, Dongxue Li, Q. Ma
{"title":"Winding Temperature Rise Field Synergy Analysis of Nano-two-phase Magnetic Fluid Transformer","authors":"Yongteng Jing, Jinglin Cao, Yan Li, Dongxue Li, Q. Ma","doi":"10.1109/SPIES52282.2021.9633897","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633897","url":null,"abstract":"Due to the high thermal conductivity of nanometer two-phase magnetic fluid, the transmission and overload operation capacity of transformer products can be greatly improved. Heat transfer characteristics and application of nanometer two-phase magnetic fluid with high stability in alternating magnetic field is an interdisciplinary subject involving electromagnetism, fluid mechanics, heat transfer and nanotechnology. However, scholars at home and abroad are still in the experimental stage, and it is difficult to produce research techniques for single-phase, low-power samples. Therefore, this paper takes a 50MVA, 110kV transformer as an example to design a variety of winding cooling structures. The mechanism of improving the heat dissipation performance of the system is studied by using the method of multi-field cooperative analysis. The temperature rise distribution before and after the application of nanometer two-phase magnetic fluid in winding cooling medium is numerically calculated and analyzed. The design theory of the new cooling structure is established.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820612","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
Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios 基于LHS-kmeans方法的电力系统未来负荷演化规划
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633902
Zesen Wang, Xin Li, Ye Xia, Tianqi Zhao, X. Xia, Yu Li
{"title":"Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios","authors":"Zesen Wang, Xin Li, Ye Xia, Tianqi Zhao, X. Xia, Yu Li","doi":"10.1109/SPIES52282.2021.9633902","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633902","url":null,"abstract":"Due to load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329870","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
EV Charging Load Forecasting Considering Urban Traffic Road Network and User Psychology under Multi-time Scenarios 多时间场景下考虑城市交通路网和用户心理的电动汽车充电负荷预测
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633880
Meixia Zhang, Zijing Wu, Qianqian Zhang, Xiu Yang
{"title":"EV Charging Load Forecasting Considering Urban Traffic Road Network and User Psychology under Multi-time Scenarios","authors":"Meixia Zhang, Zijing Wu, Qianqian Zhang, Xiu Yang","doi":"10.1109/SPIES52282.2021.9633880","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633880","url":null,"abstract":"Aiming at the problem of space-time transfer and charging decision-making of household electric vehicles (EVs) and taxis under complex road networks in different scenarios, a space-time forecasting model of EV charging load considering urban traffic road network and user psychology is proposed. First, the space-time transfer model of household EV trip is established based on the national family trip survey data and the trip chain theory. The taxi trip rules are simulated according to the trip order data and origin-destination (OD) analysis method, and the Markov dynamic decision model based on optimal policy is used to choose the path. Second, the influence of user psychology on charging decisions is analyzed through the anchoring effect, and the charging decision model is established. Third, according to the measured data of temperature and real-time traffic conditions, the EV trip energy consumption model is built. Simulation results show that complex traffic conditions and extreme temperature will lead to a continuous increase of charging load demand, the random charging behavior influenced by users’ psychology will lead to significant differences in charging loads in the spatial and temporal distribution.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983525","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: 3
LISA: A Transferable Light-weight Multi-Head Self-Attention Neural Network Model for Lithium-Ion Batteries State-of-Charge Estimation 一个可转移的轻型多头自关注神经网络模型，用于锂离子电池的充电状态估计
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633780
Ruizhi Hun, Song Zhang, Gurjeet Singh, Jian Qian, Yun Chen, Patrick Chiang
{"title":"LISA: A Transferable Light-weight Multi-Head Self-Attention Neural Network Model for Lithium-Ion Batteries State-of-Charge Estimation","authors":"Ruizhi Hun, Song Zhang, Gurjeet Singh, Jian Qian, Yun Chen, Patrick Chiang","doi":"10.1109/SPIES52282.2021.9633780","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633780","url":null,"abstract":"Deep learning has drawn wide attention in state-of-charge (SOC) estimation for batteries in electric vehicles, owning to its model-free feature and powerful ability of nonlinear regression. However, previous studies focused on improving estimation accuracy, with less research devoted to computational efficiency and hardware implementation. This paper proposes a light-weight multi-head self-attention neural network with only 298 trainable parameters and 1.18K floating point operations (FLOPs), while achieving 2.10% RMSE at all conditions. This proposed self-attention and simple Recurrent Neural Networks (RNN) can operate independently in the battery model, and can be greatly accelerated by on-chip parallel execution. Furthermore, a transfer learning (TL) method was applied to the proposed model. The proposed model with transfer learning performs significantly better on small training subsets and stopped with fewer epochs using an early stopping strategy. To the best of our knowledge, it is the first model using Transformer and self-attention for SOC estimation.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123320757","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
Prediction of Micrometeorological Parameters Based on LSTM for DLR of 500kV Transmission Line 基于LSTM的500kV输电线路DLR微气象参数预测
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633938
Zhicheng Liu, Xiangming Dong, Hao Yan, Qunshan Li, Kefan Zhu, B. Yi
{"title":"Prediction of Micrometeorological Parameters Based on LSTM for DLR of 500kV Transmission Line","authors":"Zhicheng Liu, Xiangming Dong, Hao Yan, Qunshan Li, Kefan Zhu, B. Yi","doi":"10.1109/SPIES52282.2021.9633938","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633938","url":null,"abstract":"In order to fully tap the transmission potential of transmission lines, it is necessary to use the Dynamic Line Rating (DLR) of transmission lines. Due to the timeliness of power grid decision-making, EMD-BiLSTM-BO model and Recursive multi-step forecast strategy are combined to complete the day ahead forecast of micro meteorology. Considering the cumulative error from recursive multi-step forecast strategy, the Gauss Distribution model is established based on the forecast error, which used to conservative micrometeorological parameters. Furthermore, the Arrhenius-Weibull model is established to simulate the aging damage of wire due to long-term working in high temperature environment. A case result of XIANMENG II 500kV transmission line in Central China show that, power grid managers can use DLR proposed in this paper to dynamically adjust transmission line current to greatly tap the transmission potential of existing transmission lines on the premise of ensuring safety and reliability.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122710994","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
Recommending Electricity Plan: A Significant Nearest Neighbors Collaborative Filtering Method 推荐电力计划:一种重要的最近邻协同过滤方法
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633771
Ye Ning, Gao Xiying, Guan Yan
{"title":"Recommending Electricity Plan: A Significant Nearest Neighbors Collaborative Filtering Method","authors":"Ye Ning, Gao Xiying, Guan Yan","doi":"10.1109/SPIES52282.2021.9633771","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633771","url":null,"abstract":"With the development of electricity market trading, building owners will possess the freedom to choose their preferred electricity retailers. This paper inspects the application of recommender system. Different from the traditional KNN (K-nearest neighbors)-based collaborative filtering method, we chooses the SNN (significant nearest neighbors)-based collaborative filtering method. The users with top relative similarity index values with respect to the target user are called SNN. This method effectively reduces the computational cost and improves the performance of the personalized recommendation system. By using weekly operation duration times of some typical electrical appliance data, the recommendation system will rate a large number of different plans, so that the homeowner can choose a more suitable electricity package. Different tests can evaluate the performance of the method. The instructions of the proposed method on electricity retailer helps to improve the competitive operation.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125179844","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
Speed Control Method of Permanent Magnet Synchronous Motor optimized by Artificial Bee Colony Algorithm 基于人工蜂群算法优化的永磁同步电机速度控制方法
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633806
Yichen Wang, E. Kang, Jian-jun He
{"title":"Speed Control Method of Permanent Magnet Synchronous Motor optimized by Artificial Bee Colony Algorithm","authors":"Yichen Wang, E. Kang, Jian-jun He","doi":"10.1109/SPIES52282.2021.9633806","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633806","url":null,"abstract":"This paper proposes a speed controller designed based on the principle of model predictive control, and uses an improved artificial bee colony method to adjust the controller parameters. Adding an improved artificial bee colony algorithm to the controller can avoid the tedious parameter tuning process and further improve the robustness of the controller. The controller completes the output of the control quantity in each control cycle, and uses an improved artificial bee colony algorithm to re-adjust the parameters, so that the controller's parameters are optimal under any working conditions. Simulations and experiments have proved the effectiveness of the algorithm and controller.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179206","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
A Soft Switching of the Three-level Neutral Point Clamp Isolation Bidirectional Converter 三电平中性点钳位隔离型双向变换器的软开关
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633820
Gao Chongwei, Wang Chongwu, Zhao Yangyang, Chen Junfeng, Duan Caishuai
{"title":"A Soft Switching of the Three-level Neutral Point Clamp Isolation Bidirectional Converter","authors":"Gao Chongwei, Wang Chongwu, Zhao Yangyang, Chen Junfeng, Duan Caishuai","doi":"10.1109/SPIES52282.2021.9633820","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633820","url":null,"abstract":"This paper proposes a new type of three-level neutral point clamp isolated bidirectional Dc-Dc converter (3L-NPC IBDC). The proposed converter can significantly improve the power factor, and can achieve a high-voltage and high-efficiency as well. In this work, a detailed analysis the relationship between the phase and duty cycle of the transmission power and output voltage of the presented 3L-NPC IBDC converter. Furthermore, the operating range of the zero-voltage switching (ZVS) is emphatically investigated for both modes. An improved efficiency of 3L-NPC IBDC is accordingly achieved by reducing the switching loss with ZVS. A corresponding simulation model and experimental platform are then set up to demonstrate the corrections of the presented theoretical analyses, and the simulated and experimental results explicitly verify the performance predicted by the theoretical analyses.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142814","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
General Synergic and Distributed Planning Models of Natural Gas and Electricity Systems and Integrated Energy Systems 天然气和电力系统及综合能源系统的一般协同和分布式规划模型
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633811
A. Xuan, Jing Xiao, Puming Xu
{"title":"General Synergic and Distributed Planning Models of Natural Gas and Electricity Systems and Integrated Energy Systems","authors":"A. Xuan, Jing Xiao, Puming Xu","doi":"10.1109/SPIES52282.2021.9633811","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633811","url":null,"abstract":"Integrated energy system coupling with multi-energy devices, energy storage systems, and renewable energy systems is regarded as one of the most promising solutions for future energy systems. A general synergic planning model considering expansion of electricity system, natural gas system, and interior structure and site selection of integrated energy systems is proposed in this paper. Moreover, the joint planning model is decomposed into three planning sub-problems to represent different ownerships of the three agents, and the alternating direction method of multipliers (ADMM) is adopted to solve the tripartite distributed planning problem. Finally, the effectiveness of the planning method is verified on the updated version of IEEE RTS 24-bus electric system, Belgian 20-node natural gas system, and two assumed integrated energy systems.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126856995","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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