2022 6th International Conference on Power and Energy Engineering (ICPEE)最新文献

Hierarchical and Zonal Economic Dispatching Strategy for Flexible Load Considering Electric Vehicles 考虑电动汽车柔性负荷的分层分区经济调度策略

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050339

Hongsheng Li, Kun Li, Yang Wang, Fei Liao, F. Gao, Bowu Cai

{"title":"Hierarchical and Zonal Economic Dispatching Strategy for Flexible Load Considering Electric Vehicles","authors":"Hongsheng Li, Kun Li, Yang Wang, Fei Liao, F. Gao, Bowu Cai","doi":"10.1109/ICPEE56418.2022.10050339","DOIUrl":"https://doi.org/10.1109/ICPEE56418.2022.10050339","url":null,"abstract":"Loads of smart grids include traditional load and flexible load. The flexible load on the side of China's distribution network mainly consists of electric vehicles and air conditioning load, and the power demand changes with the price of electricity is one of its important features. One of its essential features is the power demand changes with the electricity price. This paper analyzes the characteristics of electric vehicles and air conditioning loads based on the assumption of a complete electricity market. It proposes a hierarchical zonal scheduling architecture and market interaction mechanism for controllable loads based on this. The model treats agents and controllable loads as a non-cooperative game relationship and establishes a two-layer optimization model to coordinate the interests of both parties based on the master-slave game model. The upper-layer model formulates retail electricity prices and power purchase and sales strategies in the real-time market through agents. The lower-layer model uses electric vehicles and air conditioning systems as controllable load research objects to optimize available power strategies by combining dispatchable periods and thermal inertia. Finally, simulation analysis is performed to verify that the proposed master-slave game model guarantees a win-win situation for both users and agents, and results in a 13.5% increase in agency revenue.","PeriodicalId":404319,"journal":{"name":"2022 6th International Conference on Power and Energy Engineering (ICPEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710073","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

Photovoltaic Power Prediction Method Based on Fluctuating Weather Identification 基于波动天气识别的光伏发电功率预测方法

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050299

Long Chen, Danhong Tang, Lin Chen, Zhongping Liu, Zhongyu Yan, Hui Dong, Ying Ye

引用次数: 0

Thermal Analysis of Power Cable in Tunnel Considering Different Laying Conditions 考虑不同敷设条件的隧道电力电缆热分析

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050315

H Zhao, Zhanlong Zhang, Yongye Wu, Yu Yang, Zijian Dong

{"title":"Thermal Analysis of Power Cable in Tunnel Considering Different Laying Conditions","authors":"H Zhao, Zhanlong Zhang, Yongye Wu, Yu Yang, Zijian Dong","doi":"10.1109/ICPEE56418.2022.10050315","DOIUrl":"https://doi.org/10.1109/ICPEE56418.2022.10050315","url":null,"abstract":"The thermal analysis of the power cable in the tunnel is important to evaluate ampacity, improve service life and ensure operation safety. However, the existing research mainly focuses on the influence of installation mode and installation position on the hottest cable and is less concerned about other cables. This paper establishes the temperature calculation model based on Ohm's law and thermal-flow coupling field, considering power cables laid in free air and closed space. The variation rules and influence factors of cable temperature under rated load conditions and different laying conditions are analyzed. The results show that the operation temperature is related to the proximity effect, heat radiation effect, and heat convection effect between cables and other facilities. When the cable is close to other facilities, the maximum temperature deviation is more than 7.0 K. With the increase in distance, the interaction between cables and other facilities gradually attenuates, and the temperature tends to be the condition of the single cable laid in free air. The research results provide suggestions for the modeling method selection of numerical analysis of cable temperature.","PeriodicalId":404319,"journal":{"name":"2022 6th International Conference on Power and Energy Engineering (ICPEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128374500","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

Research on Electromagnetic Performance Optimization of Tangential Magnetizing Parallel Structure Hybrid Excitation Synchronous Motor Based on Particle Swarm Optimization Algorithm 基于粒子群优化算法的切向磁化并联混合励磁同步电机电磁性能优化研究

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050269

Wendong Zhang, Liang Pang, Qingliang Yang, Chaohui Zhao

引用次数: 0

Surface Modification of Mesoporous TiO2 with Potassium ion Enhances Photo-Voltage in Perovskite Solar Cell 钾离子修饰介孔TiO2提高钙钛矿太阳能电池光电压

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050275

Jianjun Zhu, X. Zhu, Yanru Zhang, Xiaolei Qi, Zhenjiang Wang, Junjie Zhou, Minghao Li, Chao Jiang, C. Yi

引用次数: 0

Ultra-wide Band Modeling and Over-voltage Analysis of High Altitude Nuclear Electromagnetic Pulse on Transformer 高空核电磁脉冲在变压器上的超宽带建模与过电压分析

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050338

Nan Zhang, Jinhua Du

{"title":"Ultra-wide Band Modeling and Over-voltage Analysis of High Altitude Nuclear Electromagnetic Pulse on Transformer","authors":"Nan Zhang, Jinhua Du","doi":"10.1109/ICPEE56418.2022.10050338","DOIUrl":"https://doi.org/10.1109/ICPEE56418.2022.10050338","url":null,"abstract":"High altitude nuclear electromagnetic pulse (HEMP) can induce a steep pulse voltage with a peak value of up to thousands of kilovolts on an overhead power line, and the frequency is up to 100MHz, which is far beyond the amplitude and frequency range of traditional steep pulse voltage. Therefore, it is necessary to establish a ultrawide band model of the transformer to evaluate its insulation ability to HEMP. Firstly, a frequency-dependent distribution parameter model is established based on the skin effect of conductor and dielectric properties of oiled paper. Secondly, the ultra-wide band fractional multi-conductor transmission line model is established considering frequency-dependent distribution parameter model, and solved through the finite difference time domain (FDTD). Then, a simple model is taken as an example to compare the results of the electromagnetic simulation software with the model to verify the feasibility of the model. Finally, an oil-immersed transformer is modeled and calculated to obtain the law of voltage distribution. The current research on HEMP does not consider enough frequency-varying characteristics, the model can produce a more accurate database for the design of the transformer anti-HEMP system.","PeriodicalId":404319,"journal":{"name":"2022 6th International Conference on Power and Energy Engineering (ICPEE)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133946247","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

Performance of Different Structures of Artificial Neural Network Systems for Harmonic Estimation of Grid-Tied Power Conversion Systems 不同结构的人工神经网络系统在并网电力转换系统谐波估计中的性能

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050331

Thamer A. H. Alghamdi, Fatih Anayi

引用次数: 0

Phasor Measurement Unit Measurement Data Processing Method Applied to a Two-Stage Identification Algorithm for Load Model Parameters 应用于负荷模型参数两阶段识别算法的相量测量单元测量数据处理方法

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050284

Liu Zhuangzhuang, Wang Xiang, Chen Guofu, Mu Xiaobin

引用次数: 0

Evaluation of Annual Maximum Wind Power Outage Capacity Induced by Extremely Low Temperature Using Generalized Extreme Value Distribution 利用广义极值分布估算极低温引起的年最大风电停电容量

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050278

Yisha Lin, Ying Qiao, Zongxiang Lu, Jian Yang, Ziniu Xiao, Zhenyu Li

{"title":"Evaluation of Annual Maximum Wind Power Outage Capacity Induced by Extremely Low Temperature Using Generalized Extreme Value Distribution","authors":"Yisha Lin, Ying Qiao, Zongxiang Lu, Jian Yang, Ziniu Xiao, Zhenyu Li","doi":"10.1109/ICPEE56418.2022.10050278","DOIUrl":"https://doi.org/10.1109/ICPEE56418.2022.10050278","url":null,"abstract":"Severe wind turbine outage events due to the triggering of low-temperature protections greatly threatened the power supply safety. However, little is known on the occurrence pattern of such rare but extreme events, which is, however, important information for reserve planning to system operators. Focusing on annual maximum outage capacity (AMOC), this paper introduces return level and return period as key indicators to depict the consequence and the frequency respectively. A probabilistic model is necessary for calculating return level. However, the limited records challenge the distribution modeling. This paper proposes a generalized extreme value (GEV) distribution model with augmented samples as inputs. Augmented samples are obtained by combining the low-temperature protection settings of wind turbines with the spatially interpolated temperature sequences covering decades via Thiessen polygon division. The parameters of GEV distribution are inferred by Markov Chain Monte Carlo (MCMC)-based Bayes estimation method. Abundant parameter samples can be derived to facilitate the confidence interval evaluation of return levels of the AMOC, and the uncertainty in the parameter inference by small-size samples can be accounted for. Case studies based on actual data of China validate the effectiveness of the proposed method, and the findings fill the present knowledge gap.","PeriodicalId":404319,"journal":{"name":"2022 6th International Conference on Power and Energy Engineering (ICPEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127775434","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

Optimization of Interactive Demand Response Information Model for Adjustable Load Platform 可调负荷平台交互式需求响应信息模型优化

2022 6th International Conference on Power and Energy Engineering (ICPEE) Pub Date : 2022-11-25 DOI: 10.1109/ICPEE56418.2022.10050328

Xingdong Wang, Lei Ma, Jincheng Yang, Xi Yang

引用次数: 0