2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)最新文献_第2页

Integrated Power and Hydrogen Trading in Multimicrogrid Coupled with Offsite Hydrogen Refueling Stations 基于非现场加氢站的多微电网电氢一体化交易

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116080

Longyan Li, C. Ning

引用次数: 0

Modeling and Implementation of Real-Time Power Market Based on Autonomous Controllable Optimization Solver 基于自主可控优化求解器的实时电力市场建模与实现

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117298

Xu Zhang, Bike Xue, Xinhong Shi, Ziheng Wang, Yuyao Feng

{"title":"Modeling and Implementation of Real-Time Power Market Based on Autonomous Controllable Optimization Solver","authors":"Xu Zhang, Bike Xue, Xinhong Shi, Ziheng Wang, Yuyao Feng","doi":"10.1109/EI256261.2022.10117298","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117298","url":null,"abstract":"The clearing model of real-time power market is a typical linear programming problem. In the current spot market pilot areas, relevant technical support systems use foreign commercial optimization solvers such as CPLEX and GUROBI as tools for real-time power market modeling and calculation. In recent years, domestic optimization solvers have developed rapidly in linear programming. Excellent products such as Cardinal Operations COPT and Alibaba MindOpt have emerged, realizing the independent control of optimization solvers. This paper analyzes and compares the differences between the autonomous controllable optimization solver and foreign mainstream products in parameter setting, algorithm function, function interface function and use mode, and establishes a unified modeling interface suitable for multiple solvers, so as to achieve the effect that different solvers can be called at one modeling. Secondly, according to the mathematical model of real-time power market, the modeling and calculation of real-time power market clearing model are realized based on the unified modeling interface. Finally, the application of real-time solver and controllability in foreign power market is verified by the independent test of real-time solver.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459154","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 Transmission Scheme of Large-scale Renewable Energy Transmitted Through Series Hybrid DC System 串联混合直流系统大规模可再生能源传输方案研究

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116495

Y. Song, Shuangmian Yang, Hao Li

引用次数: 0

Intentional Electromagnetic Interference Attack against Infrared Thermal Imaging Sensor 针对红外热成像传感器的故意电磁干扰攻击

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116648

Haoxiang Zhang, Qinhong Jiang, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu

{"title":"Intentional Electromagnetic Interference Attack against Infrared Thermal Imaging Sensor","authors":"Haoxiang Zhang, Qinhong Jiang, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu","doi":"10.1109/EI256261.2022.10116648","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116648","url":null,"abstract":"Infrared thermal imaging camera can be used to measure the temperature of the target object or detect the existence of the object by generating the thermal image of the object, thus it is widely used in the military and civil fields, and plays a key role in human daily life. As the core module of the infrared thermal imaging camera, the infrared thermal imaging sensor is an indispensable part of the infrared thermal imaging camera. Infrared thermal imaging cameras rely on infrared thermal imaging sensors to measure temperature and perform thermal imaging. If the infrared thermal imaging sensor detects the temperature wrong, there will be serious consequences of delaying the military situation in the military, and will seriously affect the production and life of the society in the civilian field. In this work, it is demonstrated that intentional electromagnetic interference can affect the communication process of the infrared thermal imaging sensor MLX90640. The data transmission line between MLX90640 and MCU can be tampered with through intentional electromagnetic interference attacks, which eventually lead to temperature numerical errors and abnormal infrared thermal image display.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592780","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 Simplification Method for Robust Optimization of Power System Based on LMP 基于LMP的电力系统鲁棒优化简化方法

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116534

Jieming Huang, Ye Guo, Hongbin Sun, Qiuwei Wu, L. Xiao

引用次数: 0

A Tempo-Spatially Clustered Unit Commitment with Long-Cycle Storage Dispatch 具有长周期存储调度的时间空间集群单元承诺

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116870

Jingbo Wang, Ce Shang

引用次数: 0

Frequency Constrained Source-Grid-Load-Storage Coordination Dispatch 频率约束的源-网-负荷-存储协调调度

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116965

Guannan Wang, Yukang Shen, Wenchuan Wu, Jun Zhang, Bin Wang, Haitao Liu

引用次数: 0

Ensemble Learning Model of Power System Transient Stability Assessment Based on Bayesian Model Averaging Method 基于贝叶斯模型平均法的电力系统暂态稳定评估集成学习模型

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116675

Chao Wang, Xinwei Li, Junjie Sun, Xiaoheng Zhang, Yuting Li, Xin Peng, J. Liu, Z. Jiao

{"title":"Ensemble Learning Model of Power System Transient Stability Assessment Based on Bayesian Model Averaging Method","authors":"Chao Wang, Xinwei Li, Junjie Sun, Xiaoheng Zhang, Yuting Li, Xin Peng, J. Liu, Z. Jiao","doi":"10.1109/EI256261.2022.10116675","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116675","url":null,"abstract":"With the increase in the penetration of renewable energy and power electronic devices, the modern power systems will face great challenges for the traditional model-based transient stability assessment (TSA). In this study, a new ensemble learning TSA model based on Bayesian model averaging method is proposed. Firstly, the Long-short Term Memory (LSTM) network and multidimensional deep neural network (DNN) is used to establish eight independent machine learning models, according to the generator power angle, rotor speed electromagnetic power and bus voltage features. Since these sub-models can only achieve different accuracies ranging from 50%, 84.28% to 95% even for the simple test system, it can not have sufficient generalization ability for real world TSA applications. Then the pre-trained sub-models are weighted and averaged by Bayesian model averaging method to obtain the ensemble learning model. Case studies of electromechanical transient simulation are analyzed on the modified IEEE 39-bus test system to verify the effectiveness of the proposed model. The prediction accuracy of the ensemble learning model can reach a stable performance of 94.83%, which has great potential for future online TSA applications.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128318209","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

Analysis on the Reactive Power Compensation Optimization under High Integration of Renewable Energy Sources 可再生能源高集成度下无功补偿优化分析

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116148

Wei Lin, Wei Wu, Rui Zhu, Dongge Liu

引用次数: 2

Research on Fuzzy Location Method of Power Communication Network Fault Using Digital Twin Model Based on Weight Coefficient 基于权系数的数字孪生模型的电力通信网络故障模糊定位方法研究

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116230

Shengchao Yan, Ziyan Zhao, Dequan Gao, Ge Liu, Tai Zhang, Shaolei Chen

引用次数: 0