2022 IEEE Industry Applications Society Annual Meeting (IAS)最新文献_第2页

Loss Distribution in Stator End Region of Turbo-generators During Asynchronous Operation after Loss of Field 汽轮发电机失磁后异步运行时定子端区的损耗分布

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939730

Guorui Xu, Linge Wang, Y. Zhan, Haisen Zhao

{"title":"Loss Distribution in Stator End Region of Turbo-generators During Asynchronous Operation after Loss of Field","authors":"Guorui Xu, Linge Wang, Y. Zhan, Haisen Zhao","doi":"10.1109/IAS54023.2022.9939730","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939730","url":null,"abstract":"The asynchronous operation of a turbo-generator after the loss of field can avoid large-scale blackout and improve the reliability of the power systems. However, the turbo-generator would absorb large reactive power during asynchronous operation, and the increased stator currents can result in the increase of the leakage flux and loss in the end region of the turbo-generator. In order to study the losses of the end structural components during asynchronous operation, this paper presents a method combining the 2-D field-circuit coupled time-stepping finite element model (FCCTSFEM) with the 3-D transient electromagnetic field in the end region of the turbo-generator. The dynamic responses of the turbo-generator after loss of field are calculated by FCCTSFEM, and 3-D transient electromagnetic field and the losses in the end region of the turbo-generator are calculated based on the results of the dynamic response. From the detailed performance evaluations by the 3-D finite-element analysis, the flux density and loss distributions of the end structural components are compared. The regions with the maximum loss in the end structural components are found. The losses of the end structural components affected by the different materials of the metal shield are studied. The results could provide a theoretical basis for improving the asynchronous operating ability of the turbo-generator.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121959257","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

Predictive Set Point Modulation Control for Onboard Supercapacitors of Catenary-Free Trams 无接触网有轨电车车载超级电容器的预测设定点调制控制

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939798

Heng Li, Yu Zhang, Dianzhu Gao, Xiaokang Dai, Zhiwu Huang, Jun Peng

引用次数: 0

Resilience-Oriented Energy Management for All-Electric Ships Considering Safe Return 考虑安全返回的全电动船舶弹性能源管理

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939914

Anni Lin, S. Wen, Miao Zhu, Zhaohao Ding, Tao Ding

{"title":"Resilience-Oriented Energy Management for All-Electric Ships Considering Safe Return","authors":"Anni Lin, S. Wen, Miao Zhu, Zhaohao Ding, Tao Ding","doi":"10.1109/IAS54023.2022.9939914","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939914","url":null,"abstract":"Marine power systems are isolated from external grids, making them more vulnerable than land-based power system. Additionally, different from fixed terrestrial microgrids, all-electric ships are mobile transportation vehicles, complying with the regulation of safe return to port. In order to enhance the resilience and improve energy efficiency of mobile microgrid, this study proposes a two-stage economic and resilient optimization framework for an all-electric ship (AES), taking into account the impact of navigation. In the first stage, a joint voyage and power scheduling of the AES is developed to reduce the operation costs and greenhouse gas emissions for normal operation mode. In the second stage, resilience-oriented optimization is proposed to defend the extreme contingency by optimizing the navigation speed and load shedding. Furthermore, resistance during the whole AES navigation is also considered. To verify the proposed algorithm, several cases are compared to demonstrate the resilience and economy of the shipboard power system and the necessity of addressing the effect of sailing resistance on the AES voyage.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132124753","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

Influence of Rotor Damping Bars on Rotor Temperature Rise of Synchronous Condenser after Single-Phase Short-Circuit Fault 单相短路故障后转子阻尼棒对同步冷凝器转子温升的影响

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940097

Guorui Xu, Zeyu Yuan, Peidong Hu, Wenmao Liu, Weili Li, Y. Zhan, Haisen Zhao

{"title":"Influence of Rotor Damping Bars on Rotor Temperature Rise of Synchronous Condenser after Single-Phase Short-Circuit Fault","authors":"Guorui Xu, Zeyu Yuan, Peidong Hu, Wenmao Liu, Weili Li, Y. Zhan, Haisen Zhao","doi":"10.1109/IAS54023.2022.9940097","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9940097","url":null,"abstract":"The main function of a synchronous condenser (SC) is to provide continuous and transient reactive power for the Ultra High Voltage Direct Current (UHVDC) converter station or the new energy power grid. However, the temperature rise of the rotor large teeth is the main factor which limits the transient operation ability of the synchronous condenser (SC). In this paper, a rotor structure of the SC with the rotor damping bars made of different materials in the rotor large teeth is proposed to reduce the temperature rise of the rotor large teeth. In order to obtain the influence of the damping bars on the temperature rise, the rotor loss and temperature distribution of a 300-MVar SC under the single-phase short-circuit fault are calculated by coupling the electromagnetic field, loss and temperature field models of the SC with the models of the power grid. For the damping bars made of the copper, aluminum and stainless steel, the rotor maximum temperature rises are calculated and compared. According to the maximum permissible temperature of the rotor core, the effect of the damping bars on the large teeth on the operating ability of the SC is obtained. This study can provide the theoretic basis for improving the operating ability of the SC under the single-phase short-circuit fault.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"5 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134573730","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

Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach 基于深度强化学习的配电网络弹性增强重构方法

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939854

Mukesh Gautam, Michael Abdelmalak, Mohammad MansourLakouraj, M. Benidris, H. Livani

{"title":"Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach","authors":"Mukesh Gautam, Michael Abdelmalak, Mohammad MansourLakouraj, M. Benidris, H. Livani","doi":"10.1109/IAS54023.2022.9939854","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939854","url":null,"abstract":"This paper proposes a deep reinforcement learning (DRL)-based approach for optimal Reconfiguration of Distribution Networks to improve their Resilience (R-DNR) against extreme events and multiple line outages. The objective of the proposed framework is to minimize the amount of critical load curtailments. The distribution network is represented as a graph network, and the optimal network configuration is obtained by searching for the optimal spanning forest. The constraints to the optimization problem are the radial topology constraint and the power balance constraints. Unlike existing analytical and population-based approaches, which require the entire analysis and computation to be repeated to find the optimal network configuration for each system operating state, DRL-based R-DNR, once properly trained, can quickly determine optimal or near-optimal configuration even when system states change. The proposed R-DNR forms microgrids with distributed energy resources to reduce the critical load curtailment when multiple line outages occur in the system because of extreme events. The proposed DRL-based model learns the action-value function utilizing Q-learning, which is a model-free reinforcement learning technique. A case study on a 33-node distribution test system demonstrates the effectiveness and efficacy of the proposed approach for R-DNR.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826395","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

Control Techniques for Grid Forming Inverters: A Comparative Analysis 网格成形逆变器控制技术:比较分析

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939796

Cameron Smith, A. Gargoom, M. Arif, M. Haque

{"title":"Control Techniques for Grid Forming Inverters: A Comparative Analysis","authors":"Cameron Smith, A. Gargoom, M. Arif, M. Haque","doi":"10.1109/IAS54023.2022.9939796","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939796","url":null,"abstract":"As renewable power generation is increasingly integrated with the grid, challenges arising from the removal of synchronous generation are being highlighted in research and in practice. The reduction of grid inertia due to large scale integration of inverter-based resources (IBR) has impacts on system strength and grid stability during transient events. Grid-Forming (GFM) inverters are gaining popularity for their ability to replicate the dynamics of synchronous generation. Serving as a voltage source coupled through a reactance, GFM inverters can regulate the voltage and frequency in a similar fashion to a bulk synchronous generator and are able to complete black start operations as well as operate independently, setting the grid frequency and voltage. There are several GFM control methods, three of which are implemented and analysed in this paper; droop control, dispatchable virtual oscillator (dVOC) and matching control. The MATLAB simulation results of each control method under steady state, and dynamic conditions under grid disturbances and faults in the DC and AC side of the converter is presented together with their comparative analysis.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133620133","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

Power Factor Relevance on Arc Flash A.C 电弧闪络交流的功率因数相关性

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939759

G. Parise, P. Scarpino

{"title":"Power Factor Relevance on Arc Flash A.C","authors":"G. Parise, P. Scarpino","doi":"10.1109/IAS54023.2022.9939759","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939759","url":null,"abstract":"This paper upgrades a method, proposed to calculate the incident energy and the arc-flash boundary in a previous paper, and introduces a simplified calculation of the arc fault current. The approximated method, proposed as complementary to the method of the IEEE 1584–2018 guide, aims to have a physical understanding of the phenomenon and adopts factors to analyze singularly the various parameters of influence related to the effective value of the bolted short-circuit current, the nominal voltage of the electrical system, the configuration and gap of the electrodes. The results obtained with the proposed approximate calculation are completely comparable with the results obtained with the IEEE 1584–2018 guide, confirming the validity of introduced factors and equations. This paper deals particularly with the relevance of the power factor of the bolted short circuit current in the characterization of the arc fault, the arc voltage value, the arc current and its behavior, continuous or pulsating. Therefore, the knowledge of the arc fault current and of the power factor, which the IEEE 1584 guide does not consider, allows to easily evaluate the operational value of the arc resistance.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214214","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

Digital Twin Driven Reconfiguration of Li-ion Batteries with Capacity Delivery Maximization 容量交付最大化的数字孪生驱动锂离子电池重构

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940121

Xiaoyong Zhang, Jiaxuan Lei, Heng Li, Zi Yu, Zhiwu Huang, Jun Peng

引用次数: 0

NWP Feature Selection and GCN-based Ultra-short-term Wind Farm Cluster Power Forecasting Method NWP特征选择及基于gcn的超短期风电场集群功率预测方法

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940051

Honglai Xu, Z. Zhen, Fei Wang

{"title":"NWP Feature Selection and GCN-based Ultra-short-term Wind Farm Cluster Power Forecasting Method","authors":"Honglai Xu, Z. Zhen, Fei Wang","doi":"10.1109/IAS54023.2022.9940051","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9940051","url":null,"abstract":"Cluster-level wind power forecasting is of great significance for the centralized integration of wind power into the grid. Studies have shown that adjacent wind farms have high spatial correlation, from whose power and numerical weather prediction (NWP) data the graph convolutional neural network (GCN) can well extract spatio-temporal features. However, existing GCN-based methods for wind power forecasting have not considered the redundant information and noisy data contained in NWPs which may also be extracted by GCN, thus leading to many problems such as high model complexity and computational cost, suboptimal model training results and decrease in prediction accuracy. Focusing on this problem, this paper selects the optimal feature subsets from the available NWPs of wind farm cluster using maximum relevance minimum redundancy (MRMR) algorithm based on mutual information (MI) theory. Cross-validation is applied to ensure that the selected features maximize the valuable information of the NWPs while minimizing the redundant information and noisy data contained. The simulation results show that selecting fewer features can make errors smaller than the state-of-the-art deep learning models and reduce the computational cost under the premise of ensuring the prediction accuracy.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115191644","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

360-degree Personal Glassless 3D Display using Retroreflection and Narrow-angle Diffusion 使用反向反射和窄角扩散的360度个人无玻璃3D显示

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940011

H. Takada

引用次数: 0