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

筛选
英文 中文
Creative Model of Community Public Health Service Based on Power Big Data 基于电力大数据的社区公共卫生服务创新模式
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116505
Zeyang Tang, Yibo Cui, Jie Xing, Jie Huang, Jing Jin, Yu-Tao Tang, Feng Wu
{"title":"Creative Model of Community Public Health Service Based on Power Big Data","authors":"Zeyang Tang, Yibo Cui, Jie Xing, Jie Huang, Jing Jin, Yu-Tao Tang, Feng Wu","doi":"10.1109/EI256261.2022.10116505","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116505","url":null,"abstract":"The traditional community public health service faces the problems of various work categories, intensive workload, untimely service, and memory offset, etc. There are rich application scenarios for power big data, which has the advantages of timely, accurate, effective and privacy protection of public health services such as indoor activities and health protection. The framework of public health service model based on power big data was described from the topics of epidemic normalization prevention and control, analysis of home status of home health observers, care for the elderly living alone and the disabled people, and people staying up late. Through power big data analysis, models can be established to analyze the characteristics of residents' indoor activity consumption, to provide data basis for the development of public health related work and improve the accuracy and efficiency of public health services. Therefore, the application of power big data in public health related fields of disease control should be explored and deepened.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"120 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":"116355460","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 of Secondary Market Trading on Customer Side with Participation of Multiple Types of Load Resources 多种负荷资源参与下客户端的二级市场交易研究
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117273
Beibei Sun, Yi Ming Xue, Li Xia Zhou, Jie Wang
{"title":"Study of Secondary Market Trading on Customer Side with Participation of Multiple Types of Load Resources","authors":"Beibei Sun, Yi Ming Xue, Li Xia Zhou, Jie Wang","doi":"10.1109/EI256261.2022.10117273","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117273","url":null,"abstract":"In order to promote the high efficiency operation of the new power system \"source-load interaction\" mode, it is needed to fully explore the regulation potential of the adjustable load on the user side. At this stage, the mining of user-side resources is mostly focused on the primary regulation market directly participated by some of the large users and load aggregators, while the trading potential of users within aggregators in the secondary market is less examined. Therefore, in this paper, we study the secondary market trading on the customer side agented by load aggregators, hoping to enhance the load regulation potential while also promoting the consumption of new energy and reducing the deviation of user-side electricity consumption. Finally, the paper concludes with the example analysis to verify the effectiveness of the trading.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"7 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":"121491877","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
Electrothermal Simulation and Insulation Condition Evaluation of Converter Transformer Valve Side Bushing 换流变压器阀侧套管的电热仿真及绝缘状态评价
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116210
Guowei Zhou, Xin Chen, Jie Yang, Hui Zou, Jialei Xing, Lintao Sun, Yuefan Guo
{"title":"Electrothermal Simulation and Insulation Condition Evaluation of Converter Transformer Valve Side Bushing","authors":"Guowei Zhou, Xin Chen, Jie Yang, Hui Zou, Jialei Xing, Lintao Sun, Yuefan Guo","doi":"10.1109/EI256261.2022.10116210","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116210","url":null,"abstract":"Due to the laborious heat dissipation structure of the bushings, along with the continuously growing capacity of HVDC transmission projects and the corresponding converter transformers, the intertwined thermal-insulation issue has become the bottleneck for the safe and reliable operation of the valve side bushings. In this paper, the physical model of coupled thermal-electric field in the frequency domain is established considering the wideband harmonics generated by the HVDC converter. On this basis, an insulation condition assessment method is proposed. In order to solve the physics coupling model, this paper proposes a corresponding iterative solution process based on COMSOL Multiphysics. Using the above model and method, this paper analyzes the fields distribution of a bushing model and conducts an insulation evaluation. In the process of designing and maintaining the insulating part, more attention should be paid to the distribution of the electric field. Significantly increased areas and locations will be the weak link in insulation, but the temperature will still be a need-ism factor.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"95 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":"114817545","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 Inter-Turn Short Circuit Fault of Dry-Type Air-Core Shunt Reactor Under Low Voltage with Low Frequency 低压低频干式空芯并联电抗器匝间短路故障研究
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116776
Yumin Peng, Man Zhang, Ying Liu, Shi Jing, Qixing Huang
{"title":"Study on Inter-Turn Short Circuit Fault of Dry-Type Air-Core Shunt Reactor Under Low Voltage with Low Frequency","authors":"Yumin Peng, Man Zhang, Ying Liu, Shi Jing, Qixing Huang","doi":"10.1109/EI256261.2022.10116776","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116776","url":null,"abstract":"When the inter-turn short circuit fault occurs in the dry-type air-core shunt reactor (DASR), the short circuit loop will consume a large amount of active power, which will cause the equipment temperature to rise in a short time and damage the equipment. Therefore, it is very important to detect the fault in the early stage of the inter-turn short circuit fault. This paper presents a method to detect the number of inter-turn short circuit fault turns of the DASR based on modified active power (Pm) and modified reactive power (Qm), at low voltage with low frequency. The formulas for Pm and Qm are obtained by adding correction factors to the formulas for active power and reactive power respectively. Their correction factors are obtained by using genetic algorithm. The variations of Pm and Qm under normal condition and short circuit condition with different turns are studied. The inter-turn short circuit fault with different frequency and different fault location is simulated. It provides a feasible method for detecting the inter-turn short circuit fault of the DASR and determining the number of short circuit turns.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"100 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":"124118224","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
Wind Speed Forecasting Method Based on Nondominated Sorting Genetic Algorithm and Machine Learning 基于非支配排序遗传算法和机器学习的风速预测方法
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116798
Xiaoyu Shen, Xue Kong, Leyi Yu, Yinghui Han, Feng Gao, Xiaokun Wu, Yagang Zhang
{"title":"Wind Speed Forecasting Method Based on Nondominated Sorting Genetic Algorithm and Machine Learning","authors":"Xiaoyu Shen, Xue Kong, Leyi Yu, Yinghui Han, Feng Gao, Xiaokun Wu, Yagang Zhang","doi":"10.1109/EI256261.2022.10116798","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116798","url":null,"abstract":"As a result of technical advances and cost reduction efforts, wind power has become prevalent as a competitive alternative energy sources. Due to the strong volatility of wind speed, it the extensive wasting of resources on wind power is not uncommon. Improving the accuracy of wind speed prediction can avoid this situation and improve the economic efficiency and utilization rate of wind power generation. Therefore, this paper proposes a hybrid predictive model that combines multiple optimization algorithms. Firstly, based on the envelope entropy, the particle swarm optimization improved by NSGA-II is used to select the parameter of variational modal decomposition. Then, in order to improve the machine learning model’s structure, the sparrow search algorithm is used to determine the optimal parameters of the deep extreme learning machine. Finally, use SSA-DELM to predict each decomposed component to obtain forecasting results with higher accuracy. The example analysis shows that this method has good performance.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"6 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":"127603189","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
Using Energy Storage Systems in Fast Frequency Regulation: Case Study of Xinjiang Power Grid 储能系统在快速调频中的应用——以新疆电网为例
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117092
Heng Wang, Yiqian Sun, Ke Ding, Xinyan Zhang, Xiaolong Guo, Jianfeng Guo
{"title":"Using Energy Storage Systems in Fast Frequency Regulation: Case Study of Xinjiang Power Grid","authors":"Heng Wang, Yiqian Sun, Ke Ding, Xinyan Zhang, Xiaolong Guo, Jianfeng Guo","doi":"10.1109/EI256261.2022.10117092","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117092","url":null,"abstract":"The increase of renewable penetration and load fluctuation level has brought new challenges to power system frequency regulation. With the advantage of fast response, energy storage system (ESS) can be used to improve dynamic frequency response of power system. When large frequency disturbance occurs in the power grid, ESS can participate in the fast frequency regulation of the power grid and provide support for the system frequency. For the sending-end power grid where renewable energy accounts for a relatively high proportion and a large amount of power is sent out through multiple high-voltage direct current (HVDC) lines, it puts forward higher requirement on frequency performance. In this paper, a comprehensive case study is performed to benchmark a number of fast frequency support control methods based on a practical test case from Xinjiang power grid under two typical disturbances. The results of the case study indicate model-free control need less capacity usage of ESS and has better adaptability to different operating scenarios.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"57 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":"126213676","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
Optimal Power Consumption Strategy for Residential Users Based on Time Series Analysis of Electricity Load 基于电力负荷时间序列分析的住宅用户最优用电策略
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116788
Shuang Ma, Jinhe Liu, Yajing Zhang
{"title":"Optimal Power Consumption Strategy for Residential Users Based on Time Series Analysis of Electricity Load","authors":"Shuang Ma, Jinhe Liu, Yajing Zhang","doi":"10.1109/EI256261.2022.10116788","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116788","url":null,"abstract":"With the rapid development of smart grid technology, load regulation on the demand side has become a flexible approach for load peak shaving and renewable energy accommodation. In this paper, an optimal wind power consumption strategy is proposed based on the time series analysis of electricity load. In view of the periodicity of residential load on both working days and non-working days, the double seasonal ARIMA model is applied to predict users’ behavior and the adjustable electricity load for wind power consumption. In addition, the difference between residential load and wind power generation is taken as the objective function for optimal power consumption. The problem of wind energy consumption is solved by prioritizing residential load according to the correlation between the load series and wind power series in each time slot. Experimental results demonstrated the reliability and accuracy of the proposed algorithm.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"22 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":"126275920","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
Spatial-Temporal Scheduling of Commercial EVs for System Restoration of a Damaged Power-Transportation Coupled Network 电力-运输耦合网络损坏后商用电动汽车系统恢复的时空调度
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117220
Lingming Kong, Hongcai Zhang, Ningyi Dai
{"title":"Spatial-Temporal Scheduling of Commercial EVs for System Restoration of a Damaged Power-Transportation Coupled Network","authors":"Lingming Kong, Hongcai Zhang, Ningyi Dai","doi":"10.1109/EI256261.2022.10117220","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117220","url":null,"abstract":"With large passenger and battery capacity, commercial electric vehicles (CEVs), such as electric buses and electric trucks can act as both urgent transports in transportation networks and energy backup units in power networks after natural disasters cause damages to the power-transportation coupled network. To enhance the system resilience, it is necessary to properly optimize the operation of CEVs to satisfy both the trip demand and restoration requirements of the system. This paper proposes a scheduling strategy for the CEV fleet in a power-transportation coupled network. By scheduling the plug-in locations, charging/discharging profiles, and the navigation paths of the CEV fleet, the model provides energy support for the damaged power network, maximizes the revenue of urgent trip service, and minimizes the energy consumption cost. The coupled power and transportation constraints are explicitly described in the model, which are formulated into a mixed-integer second-order cone program and efficiently solved by off-the-shelf solvers. Numerical experiments are conducted to validate the superiority of the proposed method based on the IEEE 69-bus distribution network and the Sioux Falls transportation network.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"15 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":"125652544","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
Game Iterative Robust Optimization Strategy for AC / DC Distribution Systems Considering Source Load Uncertainty 考虑源负荷不确定性的交直流配电系统博弈迭代鲁棒优化策略
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116719
Qi Li, Ronghao Zhang, Shuting Li, Haibo Zhao, Liang Tian, Ende Hu, Yu Li, Zhi Zhang, Hui Duan
{"title":"Game Iterative Robust Optimization Strategy for AC / DC Distribution Systems Considering Source Load Uncertainty","authors":"Qi Li, Ronghao Zhang, Shuting Li, Haibo Zhao, Liang Tian, Ende Hu, Yu Li, Zhi Zhang, Hui Duan","doi":"10.1109/EI256261.2022.10116719","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116719","url":null,"abstract":"With the wide access of distributed generation and diversified loads in AC / DC distribution system and the uncertainty fluctuation of source load, it will bring great challenges to the planning, control and operation of AC / DC distribution network. Based on this, this paper proposes a game iterative robust optimization strategy for AC / DC distribution system considering the source load uncertainty. The game between power grid dispatcher and nature realizes the robust optimization under the condition of distributed generation random output, minimizes the standard deviation of network loss and the number of possible safety limit excesses of the system, avoids the extreme adverse effects caused by the uncertainty of distributed generation, and ensures the operation safety of the system. It provides a reference for the optimal operation scheduling of AC / DC distribution system.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"52 11 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":"125986150","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
Discussion on Security and Stability Control Technology Adapted to New Power System 适应新型电力系统的安全稳定控制技术探讨
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116502
Xia Haifeng, Lai Yening, Yan Yunsong, Liu Qiang, L. Mingying, Jiang Zhe
{"title":"Discussion on Security and Stability Control Technology Adapted to New Power System","authors":"Xia Haifeng, Lai Yening, Yan Yunsong, Liu Qiang, L. Mingying, Jiang Zhe","doi":"10.1109/EI256261.2022.10116502","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116502","url":null,"abstract":"Building a new electric power system that is based on new energy sources is an important measure for peaking carbon emissions and achieving carbon neutrality. It is also the development direction of China's power system transformation and upgrading. The large-scale integration of new energy into the grid will lead to a significant increase in the fluctuations on both sides of the source and load, which will bring major challenges to the balance adjustment and flexible operation of the power system. The stability characteristics, security control and production mode of the power system will be fundamentally changed, and the security operation of the power grid will face greater risks. Starting from the status quo of power system security and stability control technology, this paper introduces the characteristics and challenges of the new power system, analyzes the new requirements for the operation control of the new power system, and focuses on the online refresh technology of the stability control strategy, the precise load control technology, and the adaptation to \"active\". The low-frequency and low-voltage load shedding technology of power distribution network and the broadband oscillation emergency control technology of power electronic power grid are four aspects. And proposes the development direction of the new power system security and stability control technology.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"133 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":"121729775","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信