2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)最新文献_第4页

Optimal Configuration for Power Electronic Transformer Ports Considering the Optimization of Transfer Paths 考虑传输路径优化的电力电子变压器端口优化配置

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/ei250167.2020.9347219

H. Yin, You-bo Liu, Qiang Li, Xianglong Liu, Hongjun Gao, Junyong Liu

引用次数: 0

Research on Clustering Algorithm of Load Decomposition Considering Harmonic Characteristics in Power Safety Monitoring 电力安全监测中考虑谐波特性的负荷分解聚类算法研究

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9347257

Wei Liu, Baifeng Ning, Gangfeng Yan, Keng Xu

{"title":"Research on Clustering Algorithm of Load Decomposition Considering Harmonic Characteristics in Power Safety Monitoring","authors":"Wei Liu, Baifeng Ning, Gangfeng Yan, Keng Xu","doi":"10.1109/EI250167.2020.9347257","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347257","url":null,"abstract":"With the development of smart grid, power grid security monitoring is becoming more and more important. Non-intrusive load monitoring is helpful to understand the operating status of electrical equipment and is of great significance to the economic and safe operation of the power grid.This paper provide a non-intrusive load safety monitoring method for smart grid based on clustering algorithm. Based on improved generalized likelihood ratio detection, this paper introduces the voting window to establish an event detector model, and introduces event detection metrics to determine the value of related parameters and obtain the best event detector. In view of the difficulty in distinguishing electrical appliances with similar power in load decomposition, this paper uses DFT to extract the harmonic characteristics of bus current signals, and establishes a load feature library combined with active power. Then affinity propagation clustering algorithm is used to establish the load feature library to realize the load decomposition. Finally, the effectiveness of the proposed method is verified on REDD data sets.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129939443","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 Robust Two-stage Dispatching Model With Wind Power Correlation and Multiple Uncertainties 具有风电相关和多不确定性的鲁棒两阶段调度模型

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346633

Mingyang Zhang, Yikai Sun, Hanyan Huang, Jiting Gu, Ming Zhou, Gengyin Li

{"title":"A Robust Two-stage Dispatching Model With Wind Power Correlation and Multiple Uncertainties","authors":"Mingyang Zhang, Yikai Sun, Hanyan Huang, Jiting Gu, Ming Zhou, Gengyin Li","doi":"10.1109/EI250167.2020.9346633","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346633","url":null,"abstract":"Due to the deepening penetration of renewables, the increasing level of uncertainty puts forward new requirements for power system operations: sufficient flexible ramp capacities (FRC) need to be reserved in short-term operations to ensure flexibility, however, which is not well integrated in existing security and network-constrained economic dispatch (S&NCED). In this paper, a robust-based model of two-stage S&NCED considering FRC adequacy and multiple uncertainties is developed. In order to facilitate the analysis of the quantitative relationship between operating reserve and uncertainty level, the flexible regulating reserve for continuous uncertainties and the contingency reserve for discrete uncertainties are determined separately. Moreover, the spatial smoothing effect and the time correlation of wind power are comprehensively considered. In the proposed model, the energy and two types of reserves are optimized iteratively with the aid of Benders decomposition, then the acceptable netload disturbance region of each bus can be obtained correspondingly. The numerical results demonstrate the merits of the proposed methodology in promoting the wind power accommodation.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452448","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

Prediction of Photovoltaic Power Based on Entropy Weight Combination Forecasting Method 基于熵权组合预测法的光伏发电预测

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9347267

Huan Liu, Hong-Nian Wang, Lin Lin, Lingling Yao, Weiyu He, Yaqun Zhou

{"title":"Prediction of Photovoltaic Power Based on Entropy Weight Combination Forecasting Method","authors":"Huan Liu, Hong-Nian Wang, Lin Lin, Lingling Yao, Weiyu He, Yaqun Zhou","doi":"10.1109/EI250167.2020.9347267","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347267","url":null,"abstract":"Photovoltaic (PV) power prediction is an effective way to ensure the safe operation of the grid connected photovoltaic power station, and the prediction accuracy is very important as well as difficult. In order to improve the prediction accuracy, a combination prediction model based on entropy weight and traditional prediction methods is demonstrated. The combination prediction model used entropy weight to combine three traditional prediction methods which are persistence method, support vector machine (SVM) and prediction method based on similar data. And the entropy weight of each single prediction method is got by evaluating the amount of information of each method objectively. The prediction accuracy of entropy weight combination prediction model and these three single prediction methods are compared by simulation. Case study results show that the combination model based on entropy weight can get proper combination weights for these traditional methods. As a result, the prediction accuracy of entropy weight combination prediction model is much higher than that of single traditional prediction method for all weather types.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128719594","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

Impact Suppression Method for PV Power Generation Grid-reconnection Based on DC Voltage Control 基于直流电压控制的光伏发电并网冲击抑制方法

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346878

Jiangbo Ren, Shuai Jiang, Zhongqing Li, Yifeng Yuan, J. Ouyang

{"title":"Impact Suppression Method for PV Power Generation Grid-reconnection Based on DC Voltage Control","authors":"Jiangbo Ren, Shuai Jiang, Zhongqing Li, Yifeng Yuan, J. Ouyang","doi":"10.1109/EI250167.2020.9346878","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346878","url":null,"abstract":"Photovoltaic(PV) power system plays an important role in emergency control as well as fault restoration of power systems by its fast power control capability. Nevertheless, despite a lot of methods for low-voltage ride-through(LVRT) of PV power system, the disconnection of PV under certain degrees of failure and duration cannot be avoided due to the limitation of impact resistance of power electronic devices. In order to avoid the deterioration of the operating status of power grid and give full play to the control ability of PV, PV should be quickly reconnected to the grid after the grid impact is eliminated. Since there is a certain delay in restoring the power output after the shutdown of PV, the shutdown should be avoided after PV is grid-disconnected. Whereas, the operating status of the disconnected and non-stop PV changes continuously with the output of the PV panels, the control of the inverter, and the duration of grid disconnection. Its output may fluctuate greatly after reconnecting to the grid, causing an impact on the power grid. At present, the impact of PV reconnection and the measures to address it have not received much attention. Therefore, the disconnection and reconnection process of PV power system is theoretically analyzed in this paper. The mechanism and influencing factors of current impact caused by PV reconnection are studied. An impact suppression method for PV reconnection based on DC voltage control is proposed. The simulation results are used to verify the effectiveness of the proposed method. The proposed method realizes the stable restoration of power after PV reconnection by suppressing the DC voltage of PV during disconnection, and effectively avoids the current impact of PV reconnection.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128257412","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

Optimal Dispatching of Regional Integrated Energy System Based on SMPC 基于SMPC的区域综合能源系统优化调度

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346607

Ying Zhang, Yuejin Ji, Ming Wu, Baodi Ding, Hui Yu, L. Kou

引用次数: 1

Short-term Tie-line Power Prediction Based on CNN-LSTM 基于CNN-LSTM的短期联络线功率预测

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/ei250167.2020.9346998

He Huang, Yaming Lv

引用次数: 1

New Energy Power Performance Evaluation Research Based on ITMD-FM Model 基于ITMD-FM模型的新能源电力性能评价研究

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346809

Jianbin Wu, Z. Gu, W. Wen

引用次数: 0

Denoising of Partial Discharge Signal by Common Factor Method and Wavelet Thresholding 基于共因子法和小波阈值法的局部放电信号去噪

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346639

Xu Yang, Yuru Cai, Jing Zhang, Lin Cheng, Fenghua Wang

引用次数: 4

A Multi-objective Optimization Charging Strategy for Lithium Ion Battery Based on Lithium-plating Inhibited Model 基于锂电镀抑制模型的锂离子电池多目标优化充电策略

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI: 10.1109/EI250167.2020.9346748

Jiawei Liu, Changlong Li, N. Cui

引用次数: 2