2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)最新文献_第5页

Reliability Evaluation of Hybrid Energy Storage System Considering Flexible Resources of Source, Network and Load 考虑源、网、负荷灵活资源的混合储能系统可靠性评估

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116756

Dajun Si, Zhanwen Tang, Lingfang Li, Yiming Yao, Peng Sun, Bo Hu, K. Xie

引用次数: 0

Aggregated Load Assessment of Air-Conditioning Clusters Considering the Heterogeneity of User Identity and Travel Behavior 考虑用户身份和出行行为异质性的空调集群综合负荷评估

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117444

L. Li, Chaoliang Wang, Songsong Chen

{"title":"Aggregated Load Assessment of Air-Conditioning Clusters Considering the Heterogeneity of User Identity and Travel Behavior","authors":"L. Li, Chaoliang Wang, Songsong Chen","doi":"10.1109/EI256261.2022.10117444","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117444","url":null,"abstract":"The diversification of user needs and the heterogeneity and uncertainty of response behaviors affect the rational use of demand-side resources. In order to more accurately evaluate the demand response behavior of different users and more accurately evaluate the aggregate load of air-conditioning clusters, this paper proposes an air-conditioning cluster load evaluation based on user feature classification considering the uncertainty of user behavior. First, the equivalent thermal parameter (ETP) model of the room is given in combination with the operation mode of the inverter air conditioner and the thermal insulation performance of the house, On the basis of this model, the load model of a single inverter air conditioner is given in combination with the electrical quantity relationship of the inverter air conditioner. Secondly, consider user classification and travel behavior combined with user thermal comfort in the family as a unit, and establish a temperature decision model for different family members at different times. Thirdly, the income level and environmental protection participation of different households are introduced to combine the temperature decision-making model to obtain a 24-hour daily household air-conditioning temperature decision-making model. Combined with the air-conditioning load model, an accurate air-conditioning load aggregation model is obtained. Finally, it is verified that the accuracy of this model is better than the traditional model in the past.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"26 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":"115970225","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

Study on the Compatibility of Typical Materials in GIT with C4F7N/CO2 Gas Mixture 典型材料与C4F7N/CO2混合气的相容性研究

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116364

Long Li, Qiang Yao, Peng Wu, Baojia Deng, Yin Zhang, Shiling Zhang, Yongxu Yan, Qing Yang

引用次数: 0

A Composite Line Protection Scheme for Flexible HVDC Transmission Systems with Outward-shifted Current Limiting Reactors 外移限流电抗器柔性直流输电系统的复合线路保护方案

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116481

Dai Feiyang, Z. Zexin, W. Xingguo, Guo Yarong, Liu Jiaqi, Wang Shuyang

{"title":"A Composite Line Protection Scheme for Flexible HVDC Transmission Systems with Outward-shifted Current Limiting Reactors","authors":"Dai Feiyang, Z. Zexin, W. Xingguo, Guo Yarong, Liu Jiaqi, Wang Shuyang","doi":"10.1109/EI256261.2022.10116481","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116481","url":null,"abstract":"Based on the practical needs of efficiency-improving and cost reduction in the construction, operation, and maintenance process of flexible DC transmission systems, the optimization of DC system topology has attracted more attention in the industry, among which the optimal design of converter installation location, structure, and parameters of such systems has the most trend of popularization and application. However, the such proposal will directly change the path and propagation characteristics of the fault traveling wave (TW) when the DC transmission system fails, significantly change the fault characteristics, and seriously reduce the operation performance and adaptability of any applied relay protection schemes. Based on a comprehensive RTDS model of real system parameters, this paper quantitatively analyzed the occurrence and development law of fault characteristics in the optimized topology, through which the influence of fault attributes on the steepness and subsequent development trend of TWs is widely utilized, and a principle of using difference development sum of local measurements to realize detection, identification and rough location of faults is proposed. The composite of it and a bilateral current direction criterion can effectively improve the anti-interference ability and reliability of the overall protection scheme.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"73 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":"130209988","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

Control of Magnetic Sensor for Tunable Measure Range 磁传感器的可调量程控制

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116539

B. Tian, Bofeng Luo, Zhong Liu, Q. Lv, Zejie Tan, Zhiming Wang, Zhenheng Xu, Renze Chen

引用次数: 0

Transmission Expansion Planning Based on Light Robust Optimization Modelling Considering Microgrid Capacity Expansion 考虑微电网扩容的基于轻鲁棒优化模型的输电扩容规划

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116843

Weikang Ni, Fan Li, Zhen Wang, Yikai Sun, Shuyi Shen

{"title":"Transmission Expansion Planning Based on Light Robust Optimization Modelling Considering Microgrid Capacity Expansion","authors":"Weikang Ni, Fan Li, Zhen Wang, Yikai Sun, Shuyi Shen","doi":"10.1109/EI256261.2022.10116843","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116843","url":null,"abstract":"This paper proposed a 20-year transmission expansion planning (TEP) in a hybrid power system with microgrid (MG) integration based on light robustness optimization modeling considering microgrid capacity expansion (MGCE). The proposed light robust optimization model (LRO) can coordinate the economy and robustness of the TEP problem, and alleviate the over-conservative issue compared with the standard robustness optimization model (RO). Firstly, TEP considering MGCE without uncertainty is selected as the standard method to achieve a standard planning scheme. Then, the MG power uncertainty represented by some interval uncertainty set is considered and an LRO-based TEP model is constructed, in which a cost tolerance parameter is introduced to relax the total investment s to balance the TEP scheme's economy and robustness. The proposed LRO model is solved using the Matlab YALMIP/GUROBI optimization toolbox. An 18-bus test system is used to validate the feasibility and effectiveness of the proposed model. In addition, a critical solution for LRO can be determined by investigating the relationship between cost tolerance and the infeasible objective.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"24 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":"133948653","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

Application and Prospect of Reinforcement Learning in Power Prediction on Source and Load Sides 强化学习在源侧和负载侧功率预测中的应用与展望

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116618

Ming Pei, Lin Ye, Jiazheng Lu, Xunjian Xu, S. Pan, Zhenrong Wu, Haohan Liao

{"title":"Application and Prospect of Reinforcement Learning in Power Prediction on Source and Load Sides","authors":"Ming Pei, Lin Ye, Jiazheng Lu, Xunjian Xu, S. Pan, Zhenrong Wu, Haohan Liao","doi":"10.1109/EI256261.2022.10116618","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116618","url":null,"abstract":"With the large-scale access of a high proportion of new energy sources, there is a high degree of uncertainty on both sides of the source and load, which brings huge challenges to the optimal dispatch of the power system. Therefore, accurate power prediction information of the source and load can provide important decision support for the dispatch of the new power system. In recent years, with the development of artificial intelligence technology, reinforcement learning (RL) has been gradually used in uncertain power supply power prediction, load prediction, etc., so as to support the stable and safe operation of power grid under the uncertainty of source and load. Therefore, reinforcement learning has a great application prospect in the new power system dominated by new energy. Based on this, this paper will conduct a research review on the application of reinforcement learning technology to wind power forecasting, photovoltaic power forecasting, load power forecasting, and source-load power forecasting under extreme weather. Besides, the reinforcement learning algorithm is used to predict the distributed power supply of a wind farm in Jilin Province, China and its region, which is used as the support of the calculation example. Finally, the development direction of reinforcement learning applied to source-load power prediction is prospected and analyzed.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"32 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":"134172452","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

Why GloVe Shows Negative Effects in Malware Classification 为什么GloVe在恶意软件分类中表现出负面影响

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116082

Bingchu Jin, Zesheng Hu, Jianhua Wang, Monong Wei, Yawei Zhao, Chao Xue

引用次数: 0

Short Term Load Forecasting Model for Process Industry Based on Hybrid RNN-LSTM Algorithm: A Case Study of Textile Enterprises 基于混合RNN-LSTM算法的流程工业短期负荷预测模型——以纺织企业为例

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116418

Taorong Gong, Songsong Chen, Liye Zhao, Zhaoxiang Li, Shiming Tian, Feixiang Gong

引用次数: 0

A Multi-time Scale Rolling Coordinated Scheduling Model for the Wind-Photovoltaic-Hydro Generation System with Cascade Hydropower 具有梯级水力发电的风电-光伏-水电系统多时间尺度滚动协调调度模型

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117252

Xinyi Zhao, Jun Xie, Qiuyan Zhang, Mingtao Liu, Cuiyu Zhou, Yongtian Jin

{"title":"A Multi-time Scale Rolling Coordinated Scheduling Model for the Wind-Photovoltaic-Hydro Generation System with Cascade Hydropower","authors":"Xinyi Zhao, Jun Xie, Qiuyan Zhang, Mingtao Liu, Cuiyu Zhou, Yongtian Jin","doi":"10.1109/EI256261.2022.10117252","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117252","url":null,"abstract":"Addressing the uncertainties caused by high proportion of new energy connected to the grid as well as improving the level of new energy accommodation has become an urgent problem under the background of new power system. Therefore, aiming at the characteristics that the prediction accuracy of wind, photovoltaic power, and load demand (WPL) is improved with reduced time scales, a multi-time scale rolling coordinated scheduling model for the wind-photovoltaic-hydro (WPH) generation system with cascade hydropower is established. Through the coordination of the day-ahead 24-hour scheduling, the intraday 1-hour scheduling and the real-time 15-minute scheduling, the WPH output can be guaranteed to track the load and promote the accommodation level of new energy. Numerical example shows that the new energy accommodation level is greatly affected by the inflow of cascade hydropower. The proposed multi-time scale rolling coordinated dispatching model can effectively suppress the fluctuation of wind and photovoltaic output and reduce their curtailment, realizing the optimal allocation and full utilization of clean renewable energy consequently.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"604 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":"131626904","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