2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)最新文献_第4页

Evaluation of GIC Thermal Capability of Power Transformers - Part II: Shell Form Transformers 电力变压器GIC热性能的评价。第2部分:壳型变压器

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816984

R. Girgis, M. Bernesjo, Marco Espindola

{"title":"Evaluation of GIC Thermal Capability of Power Transformers - Part II: Shell Form Transformers","authors":"R. Girgis, M. Bernesjo, Marco Espindola","doi":"10.1109/td43745.2022.9816984","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816984","url":null,"abstract":"As stated in Part I of this paper, this Part II of the paper deals with evaluation of GIC Thermal Capability of Shell form Transformers. This evaluation is based on thermal impact of GIC on the transformer tank because, in these transformers, the tank is the structural part that experiences the highest temperature increase when the transformer is subjected to GIC. Again, in this part of the paper, it is demonstrated that the GIC Thermal Capability of a transformer is an even stronger function of the design of that transformer, especially the winding arrangements used in the design. This is because heating of the tank under GIC is caused by a combination of both the AC leakage flux and the DC flux that impinge on the tank when the core is saturated due to GIC. It was found that the GIC Thermal Capability of some Shell form transformer designs can be considerably low and that it is not practical to decide on a GIC limiting criteria for Shell form transformers unless detailed magnetic and thermal design modeling is performed. Additionally, the paper presents impact of Load and duration of GIC pulses on the GIC Thermal Capability of Shell form transformers.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130123863","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

Estimation of the Inertia Constant of Demand in European Regions Considering Daily and Seasonal Variations Based on Statistical Information 基于统计信息的考虑日和季节变化的欧洲地区需求惯性常数估算

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816890

D. Stenzel, R. Witzmann

引用次数: 0

Benchmarking of Deep Learning Algorithms for Compressor Air Leak Prediction in a Gas Turbine 燃气轮机压缩机空气泄漏预测的深度学习算法标杆测试

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816854

Diego I. Nogueras-Rivera, Harry Bonilla-Alvarado, Julio A. Reyes-Munoz, Alex D. Santiago-Vargas, Luis M. Traverso-Aviles, Diego A. Aponte-Roa

{"title":"Benchmarking of Deep Learning Algorithms for Compressor Air Leak Prediction in a Gas Turbine","authors":"Diego I. Nogueras-Rivera, Harry Bonilla-Alvarado, Julio A. Reyes-Munoz, Alex D. Santiago-Vargas, Luis M. Traverso-Aviles, Diego A. Aponte-Roa","doi":"10.1109/td43745.2022.9816854","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816854","url":null,"abstract":"In today's electrical grid, power plants are required to continuously monitor performance by combining sensors with advanced data analytics to provide reliable and efficient energy. This study compares the performance of various state-of-the-art deep learning (DL) algorithms for detecting anomalies on time-series data collected from multiple experiments conducted at the U.S. Department of Energy's National Energy Technology Laboratory (NETL) Hybrid Performance (Hyper) Facility; equipped with a 120-kW modified gas turbine system designed for hybrid configuration. The experiments consisted of a series of electrical load changes with an emulated compressor leak, which was reproduced by modulating the compressor bleed air valve. Nine different DL architectures were evaluated for a binary classification problem. The performance of the algorithms was compared by observing the average Matthews Correlation Coefficient (MCC) metric score and stability with the results over a series of tests. Each algorithm was trained to predict the label of the first future time-step and later the tenth time-step to understand how the algorithm's predictive performance was affected when predicting time steps further from the present time-step. Results suggest that, for predicting the first future time-step, the most feasible algorithms were the hybrid GRULSTM and parallel CNN-LSTM, with average MCC scores of approximately 71% and 70% respectively. Further, the most stable algorithms, while maintaining acceptable performance, were the sequential CNN-LSTM and Bi-LSTM with 69% and 68% MCC scores, respectively. On the other hand, with the tenth future time-step case, results suggest that the best algorithm was the TCN-FF, with an average MCC score of 75%. An alternative algorithm to explore, for this case, would be the sequential CNNLSTM with an average MCC score of 66% and great stability.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125054140","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

Increase cross-border capacity to reduce market splitting of day-ahead electricity markets - A dynamic line rating approach 增加跨境容量以减少日前电力市场的市场分裂——动态线路评级方法

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816949

H. Algarvio, A. Couto, J. Duque, A. Estanqueiro, R. Pestana, J. Esteves, Cao Yang

引用次数: 0

Increasing the Effectiveness of Interface MW Limits for Maintaining Voltage Security 提高接口毫瓦限值对维护电压安全的有效性

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9817004

S. Greene, M. Glavic

引用次数: 0

Dynamic Condition Assessment of Substation Equipment through an Asset Performance Management System 基于资产绩效管理系统的变电站设备动态状态评估

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816992

A. Jahromi, Pranav Pattabi, Shanon Lo, Robert Otal

{"title":"Dynamic Condition Assessment of Substation Equipment through an Asset Performance Management System","authors":"A. Jahromi, Pranav Pattabi, Shanon Lo, Robert Otal","doi":"10.1109/td43745.2022.9816992","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816992","url":null,"abstract":"In recent years, there has been a push towards substation asset digitization with an increase in the availability of intelligent electronic devices (IEDs) in the market. Utilities and industrial establishments are considering a transition from traditional time-based maintenance (TBM) to condition-based maintenance (CBM) based on real-time asset monitoring and condition assessment. In this background, the development of an Asset Performance Management (APM) system comprising of equipment sensors, a data pipeline, intelligent models, and a human-machine interface (HMI) allows for relevant planning and real-time results to be organized and visualized across a centralized platform. This paper presents the framework for dynamic monitoring and condition assessment of station equipment, such as power transformers, power cables, circuit breakers, and switchgear, to respond in advance to potential emerging risks and avoid catastrophic failures. Within the scope of this study, the implementation of an APM system, specific to power transformers, has also been demonstrated.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129651243","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

Fault Tracking in Underground Distribution Systems: A Study Case 地下配电系统的故障跟踪:一个研究案例

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9817001

S. V. Fernandes, D. P. Dias, M. A. Martins, B. B. Cardoso, A. F. Macedo, K. Martins

引用次数: 0

Demonstration of Quasi-Static Time-Series Power Flow Studies for Islanded Three-Phase Microgrids 孤岛三相微电网准静态时序潮流研究的实证

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816996

Vinícius C. Cunha, Taehyung Kim, Nicholas G. Barry, S. Santoso, W. Freitas

引用次数: 0

Simulating Impacts of Extreme Events on Grids with High Penetrations of Wind Power Resources 极端事件对风电资源高穿透电网的影响模拟

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816884

Ignas Šatkauskas, Jonathan Maack, M. Reynolds, D. Sigler, Kinshuk Panda, Wesley B. Jones

引用次数: 5

Testing and Verification of an Intelligent Sensor Platform for Distribution System Monitoring and Control 一种用于配电系统监控的智能传感器平台的测试与验证

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2022-04-25 DOI: 10.1109/td43745.2022.9816865

Niroj Gurung, M. Lelic, P. Pabst, Aleksi Paaso

{"title":"Testing and Verification of an Intelligent Sensor Platform for Distribution System Monitoring and Control","authors":"Niroj Gurung, M. Lelic, P. Pabst, Aleksi Paaso","doi":"10.1109/td43745.2022.9816865","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816865","url":null,"abstract":"With the continued integration of grid-edge devices, grid architecture for monitoring and control requires transformation as well. Large scale deployment of intermittent distributed energy resources (DERs) has introduced new challenges in planning and operation of distribution systems. High-fidelity monitoring and distributed intelligence allow for full utilization of benefits with high penetration of DERs. Availability of high-resolution voltage and current measurements with an enhanced accuracy level across the distribution system is a prerequisite for high-fidelity monitoring of DERs. This paper presents field installation and demonstration of an intelligent measurement platform called SIMPLE (Sensors with Intelligent Measurement Platform and Low-cost Equipment). The objective of the project is to demonstrate distributed monitoring and control capabilities and peer-to-peer communication between distributed nodes outside the substation. The SIMPLE platform can facilitate both high-fidelity monitoring of DERs and distributed intelligent control in operation of electric distribution systems.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255506","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