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2022 IEEE 5th International Electrical and Energy Conference (CIEEC)最新文献

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Future Demand and Innovative Development of Advanced UHV Power Transmission technology in the Scenarios of Global Energy Interconnection 全球能源互联场景下先进特高压输电技术的未来需求与创新发展
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846684
Zhao Xiaoling, Xia Jinyu, L. Yao, Wu Jiawei, Xu Zheng, Yu Zheyang
{"title":"Future Demand and Innovative Development of Advanced UHV Power Transmission technology in the Scenarios of Global Energy Interconnection","authors":"Zhao Xiaoling, Xia Jinyu, L. Yao, Wu Jiawei, Xu Zheng, Yu Zheyang","doi":"10.1109/CIEEC54735.2022.9846684","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846684","url":null,"abstract":"Under the demand of clean and low-carbon power consumption, the construction of energy interconnection poses new challenges to clean energy power access and transmission technologies, which needs to solve key technical problems in complex scenarios such as the access of different clean energies, the interconnection of strong and weak power systems, and the operation control of complex network topology, in order to improve the system reliability and power quality, as well as transmission capacity and operational stability of large-scale AC-DC hybrid power grids. This paper sorts out various power transmission scenarios under Global Energy Interconnection (GEI), summarizes the needs of advanced transmission technologies, and proposes the key technologies including IGCT-based UHV VSC DC transmission, storage-based active DC power transmission, and wide DC grid. Europe is taken as an example to make a DC power grid simulation model research to verify the feasibility and applicability of the above advanced transmission technologies.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132660469","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
Design and Application of an Argon-fed 1 A-class Plasma Bridge Neutralizer 充氩1a级等离子体桥式中和器的设计与应用
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846530
Lin-Mao Ren, Yanan Wang, Zihao Yang, W. Ding
{"title":"Design and Application of an Argon-fed 1 A-class Plasma Bridge Neutralizer","authors":"Lin-Mao Ren, Yanan Wang, Zihao Yang, W. Ding","doi":"10.1109/CIEEC54735.2022.9846530","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846530","url":null,"abstract":"The plasma bridge neutralizer (PBN) is one type of electron source. Due to its simple structure and easy operation, PBNs have been used in industrial and electric propulsion fields. However, the range of applications of PBNs is limited by its short service life and low emission current capacity. In this paper, a new ring-tip magnetically confined PBN (RCM-PBN) was designed and tested. The structure optimization of ring-tip magnetic field and orifice plate electrical insulation are adopted, and the anode current was increased to 1200 mA. The effects of mass flow, heating power and anode voltage on anode current have been studied experimentally. It was found that the formation process of the anode spot was related to the increase of anode current with the anode voltage. In addition, the RCM-PBN was used to successfully ignite an external discharge hall thruster (EDHT) with 1.6 sccm mass flow rate and 35 W heater power. A bright and stable plasma discharge was formed near the anode of the XDHT.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131859340","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 Triple-Voltage-Vector Model-Free Predictive Current Control Scheme for Voltage Source Inverters 电压源逆变器的三电压矢量无模型预测电流控制方案
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846005
Zheng Yin, Cungang Hu, T. Rui, Zhuangzhuang Feng
{"title":"A Triple-Voltage-Vector Model-Free Predictive Current Control Scheme for Voltage Source Inverters","authors":"Zheng Yin, Cungang Hu, T. Rui, Zhuangzhuang Feng","doi":"10.1109/CIEEC54735.2022.9846005","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846005","url":null,"abstract":"Model-free predictive current control (MFPCC) method is a promising method to enhance the robustness of model predictive current control. However, conventional MFPCC methods apply only a voltage vector per control period, resulting in a large output ripple. They also have updating stagnation issue which affects the accuracy of current gradient and degrades the performance of voltage source inverters (VSIs). This paper proposes a triple-voltage-vector (TVV) MFPCC strategy for VSIs based on an advanced current gradient updating method. In the proposed strategy, a TVV-MFPCC is developed to improve current performance and enhance parameter robustness. Furthermore, an advanced current gradient updating method is proposed to eliminate stagnation effect of current gradient by considering the relationship between current gradient of different VVs. Simulation and experimental comparisons on a VSI assess the performance of the proposed TVV-MFPCC scheme.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115375153","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: 2
An Electric Vehicle Cluster Model Considering Multiple Uncertainties and Response Costs 考虑多不确定性和响应成本的电动汽车集群模型
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846634
Mingshen Wang, Xiaodong Yuan, Wenfei Yi, Lei Gao, Zheng Zhang, Li-Na Cui
{"title":"An Electric Vehicle Cluster Model Considering Multiple Uncertainties and Response Costs","authors":"Mingshen Wang, Xiaodong Yuan, Wenfei Yi, Lei Gao, Zheng Zhang, Li-Na Cui","doi":"10.1109/CIEEC54735.2022.9846634","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846634","url":null,"abstract":"The large-scale integration of electric vehicles (EVs) brings challenges to the power grid. Due to the response potential of the EVs for up and down regulation, the EV cluster provides considerable response capacity to the power grid. Existing evaluation methods for the response capacity of EV cluster failed to comprehensively consider the diverse requirements of users, and ignored the impact of battery loss and incentive compensation on users. To solve above problems, the existing cluster modeling methods are improved, including considering user requirements and battery loss factors. Firstly, the diverse requirements of EV users that affect the uncertainty of EV are analyzed. A model for the uncertainty of the single EV’s operation area after grid integration is proposed, and the short-term and long-term scale response capacities of single EV are analyzed. Then, the influence of discharge rate, discharge depth and initial SOC value on battery loss is analyzed. A refined battery loss model was established. Then, the response of EV users under the influence of time-of-use price and incentive compensation price is analyzed. A response cost model is built, and propose an EV cluster response capacity evaluation method. Finally, study results validate the effectiveness of the proposed modeling method for EV cluster.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115639080","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
Identification and Correction Method of Bad Data of Renewable Energy Plants with Deep Learning 基于深度学习的可再生能源电厂不良数据识别与校正方法
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846060
Weiwen Qi, Jun Zhang, Wei-kang Ru, Qiang Fan, Fengming Zhang, Zhen Liu, Haoming Liu
{"title":"Identification and Correction Method of Bad Data of Renewable Energy Plants with Deep Learning","authors":"Weiwen Qi, Jun Zhang, Wei-kang Ru, Qiang Fan, Fengming Zhang, Zhen Liu, Haoming Liu","doi":"10.1109/CIEEC54735.2022.9846060","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846060","url":null,"abstract":"Given the problem of real-time data acquisition errors in renewable energy plants, the data of the renewable energy plants have the characteristics of mass and mutually coupled characteristics, a deep learning-based method for identifying and correcting bad data from renewable energy plants is proposed. Firstly, a deep neural network identification model is constructed to identify the real-time bad data, and the bad data of the real-time identification was obtained. Secondly, the BP neural network correction model was constructed to correct the bad data of the identification, and the reliable data of the operation of the renewable energy station is obtained. Finally, the accuracy and effectiveness of the proposed method are verified through the analysis of the real historical data of a typical wind farm.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115687360","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 Aggressive Level-based Offering Method for Hybrid PV Plants 基于最优进取水平的混合光伏电站供给方法
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846641
Xiaoge Huang, Ziang Zhang, Zhenhuan Ding, Zhao Liu
{"title":"Optimal Aggressive Level-based Offering Method for Hybrid PV Plants","authors":"Xiaoge Huang, Ziang Zhang, Zhenhuan Ding, Zhao Liu","doi":"10.1109/CIEEC54735.2022.9846641","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846641","url":null,"abstract":"Over the past few years, the penetration of solar power plants increased dramatically. Unlike traditional power plants, the uncertainty of Photovoltaic (PV) generation makes the offering process very challenging for PV plant operators. The uncertainty can be addressed by using the worst-case-based robust optimization. However, the solution to this method may be overly conservative. On the other hand, the battery energy storage system (BESS) is commonly used in PV plants, which can be used to reduce the uncertainty of PV generation. In this paper, a day-ahead offering method for the PV plant operator is proposed. As part of the proposed method, the optimal aggressive level of the offering decision is calculated by a data-driven method. Two scenarios that include a PV-only plant and a hybrid PV+BESS plant have been considered in our study. This paper also analyzed the potential advantage of pairing a BESS to a PV plant in the offering process. We found that the BESS can generate more revenue while reducing the risk of paying an under-generation charge under some conditions.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115689141","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
Microgrid Pre-dispatch Considering Battery Low-temperature Characteristics 考虑电池低温特性的微电网预调度
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846019
Jiayun Ding, Zai-jun Wu, Qinran Hu
{"title":"Microgrid Pre-dispatch Considering Battery Low-temperature Characteristics","authors":"Jiayun Ding, Zai-jun Wu, Qinran Hu","doi":"10.1109/CIEEC54735.2022.9846019","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846019","url":null,"abstract":"The use of storage batteries helps to reduce peak load and improve microgrid economics. Its safe and steady operation is critical for the microgrid’s proper dispatching of distributed power generation. However, the battery’s available capacity and charge-discharge efficiency are considerably lowered at low temperatures. It will be difficult to calculate the energy storage system’s daily operation cost accurately, and batteries will risk overcharging without considering battery’s low-temperature characteristics in microgrid pre-dispatch. This paper proposes a microgrid pre-dispatch model considering battery low-temperature characteristics. The case study demonstrates that the suggested method has a good optimization effect by enhancing the dispatching scheme’s security and economy.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115708339","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
Economic dispatch of multi-agent network systems based on distributed finite-step consensus algorithm 基于分布式有限步共识算法的多智能体网络系统经济调度
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846528
Xiaopeng Wu, Ping He, Jie Dong
{"title":"Economic dispatch of multi-agent network systems based on distributed finite-step consensus algorithm","authors":"Xiaopeng Wu, Ping He, Jie Dong","doi":"10.1109/CIEEC54735.2022.9846528","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846528","url":null,"abstract":"In this paper, the economic dispatch problem of multi-agent network systems is investigated based on distributed finite-step consensus iteration algorithm. In the proposed consensus strategy, the finite iteration steps can be decided based on the numbers of distinct nonzero eigenvalues of constructed Laplacian matrix, and different network topologies own the same results once given the same initial values. Besides, the power constraints of each generator node are considered to ensure the demand-supply balance of the whole multi-agents network systems. Finally, several case studies with different multi-agents network topologies are provided to verify the validity and correctness of the proposed iteration algorithm.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861948","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
The installation of the island divertor coils on the J–TEXT tokamak J-TEXT托卡马克上岛型导流器线圈的安装
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846665
Haojie Chen, B. Rao, Song Zhou, Yunfeng Liang, Yangbo Li, Zhengkang Ren, Feiyue Mao, Chuanxu Zhao, Shuhao Li, Bo Hu, Nengchao Wang, Yonghua Ding, Y. Pan
{"title":"The installation of the island divertor coils on the J–TEXT tokamak","authors":"Haojie Chen, B. Rao, Song Zhou, Yunfeng Liang, Yangbo Li, Zhengkang Ren, Feiyue Mao, Chuanxu Zhao, Shuhao Li, Bo Hu, Nengchao Wang, Yonghua Ding, Y. Pan","doi":"10.1109/CIEEC54735.2022.9846665","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846665","url":null,"abstract":"In order to investigate the effect of island divertor on the peak heat load reduction in a tokamak, a new island divertor was developed and installed in J-TEXT tokamak. The engineering design takes into account the complexity of the device based on the physical design, and also needs to ensure the insulation performance of the coil. Before installing the coil, electromagnetic forces on conductors and thermal conditions were simulated, the electromagnetic force on the magnetic island divertor coil will not cause damage to the coil, and there will be no thermal failure behavior.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093026","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
Non-Intrusive Load Decomposition Based on Graph Convolutional Network 基于图卷积网络的非侵入式负荷分解
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) Pub Date : 2022-05-27 DOI: 10.1109/CIEEC54735.2022.9846663
Yuan Jie, Qiu Yajuan, Wang Lihui, Liu Yu
{"title":"Non-Intrusive Load Decomposition Based on Graph Convolutional Network","authors":"Yuan Jie, Qiu Yajuan, Wang Lihui, Liu Yu","doi":"10.1109/CIEEC54735.2022.9846663","DOIUrl":"https://doi.org/10.1109/CIEEC54735.2022.9846663","url":null,"abstract":"Demand-side power management and energy efficiency analysis are crucial to reducing energy consumption and improving power efficiency. Non-intrusive load decomposition is one of the important links to improve demand-side power management and energy efficiency analysis. In view of the fact that most of the current non-intrusive load decomposition methods focus on the analysis of traditional load characteristics and the optimization of algorithms, and lack of sufficient mining of user’s electricity behavior habits, a nonintrusive load decomposition model based on graph convolutional network (GCN) is proposed. The model firstly constructs the power sequence into graph data as network input based on the spectral graph theory, using the time characteristics extracted from the user’s electricity behavior habits. Then, based on the graph convolutional neural network, the power attribute features of each electrical appliance and its time-related structural features are extracted to achieve non-intrusive load decomposition. Specifically, it has a total of five layers of structure, including four layers of graph convolution layer and one layer of graph pooling layer. The ReLu activation function is used to improve the nonlinear expression, the dropout and L2 regularization measures are used to alleviate overfitting, and the bath size is used to improve the training speed. AMPds2 dataset is used for experimental testing. The experimental results show that the proposed decomposition model can accurately detect the switches of electrical appliances, and achieve better decomposition and effective tracking of the power of each electrical appliance.","PeriodicalId":416229,"journal":{"name":"2022 IEEE 5th International Electrical and Energy Conference (CIEEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124154567","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
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