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IEEE Transactions on Power Systems最新文献

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Short-term Probabilistic Forecasting for Regional PV Power based on Convolutional Graph Neural Network and Parameter Transferring 基于卷积图神经网络和参数转移的区域光伏发电短期概率预测
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-20 DOI: 10.1109/tpwrs.2024.3503288
Fan Lin, Yao Zhang, Hanting Zhao, Wei Huo, Jianxue Wang
{"title":"Short-term Probabilistic Forecasting for Regional PV Power based on Convolutional Graph Neural Network and Parameter Transferring","authors":"Fan Lin, Yao Zhang, Hanting Zhao, Wei Huo, Jianxue Wang","doi":"10.1109/tpwrs.2024.3503288","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3503288","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"96 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Flexibility of Integrated Power and Gas Systems: Gas Flow Modeling and Solution Choices Matter 综合电力和燃气系统的灵活性：气流建模和解决方案选择至关重要
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-19 DOI: 10.1109/tpwrs.2024.3502541
Enrica Raheli, Yannick Werner, Jalal Kazempour
{"title":"Flexibility of Integrated Power and Gas Systems: Gas Flow Modeling and Solution Choices Matter","authors":"Enrica Raheli, Yannick Werner, Jalal Kazempour","doi":"10.1109/tpwrs.2024.3502541","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3502541","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"15 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analytic Neural Network Gaussian Process Enabled Chance-Constrained Voltage Regulation for Active Distribution Systems with PVs, Batteries and EVs 分析型神经网络高斯过程为光伏、电池和电动汽车主动配电系统提供机会受限电压调节功能
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-19 DOI: 10.1109/tpwrs.2024.3502114
Tong Su, Junbo Zhao, Yansong Pei, Yiyun Yao, Fei Ding
{"title":"Analytic Neural Network Gaussian Process Enabled Chance-Constrained Voltage Regulation for Active Distribution Systems with PVs, Batteries and EVs","authors":"Tong Su, Junbo Zhao, Yansong Pei, Yiyun Yao, Fei Ding","doi":"10.1109/tpwrs.2024.3502114","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3502114","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"14 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Master-Slave Deep Learning Framework for Real-Time Transient Stability-Constrained Optimal Power Flow 主从式深度学习框架：实时瞬态稳定性约束下的最优电力流
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-19 DOI: 10.1109/tpwrs.2024.3502201
Yuchen Zhang, Yan Xu, Yateendra Mishra, Zhao Yang Dong
{"title":"A Master-Slave Deep Learning Framework for Real-Time Transient Stability-Constrained Optimal Power Flow","authors":"Yuchen Zhang, Yan Xu, Yateendra Mishra, Zhao Yang Dong","doi":"10.1109/tpwrs.2024.3502201","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3502201","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"57 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cost-effective Volt-VAR Control via Transactive Energy: A Data-driven Approach 通过交互式能源实现具有成本效益的电压-电压-伏特控制：数据驱动方法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-19 DOI: 10.1109/tpwrs.2024.3502409
Hongjun Gao, Jie Xu, Zhiyuan Tang, Zhaoyang Dong, Renjun Wang, Junyong Liu
{"title":"Cost-effective Volt-VAR Control via Transactive Energy: A Data-driven Approach","authors":"Hongjun Gao, Jie Xu, Zhiyuan Tang, Zhaoyang Dong, Renjun Wang, Junyong Liu","doi":"10.1109/tpwrs.2024.3502409","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3502409","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"177 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Automatic Generation Control Performance Under Uncertainty and Congestion through Detailed Transmission Modeling and Strategic Selection of Units 通过详细的输电建模和战略性机组选择，提高不确定性和拥堵情况下的自动发电控制性能
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-18 DOI: 10.1109/tpwrs.2024.3499313
Victor H. Hinojosa, Daniel Bolbaran, Esteban Gil, Guillermo Gutierrez-Alcaraz
{"title":"Enhancing Automatic Generation Control Performance Under Uncertainty and Congestion through Detailed Transmission Modeling and Strategic Selection of Units","authors":"Victor H. Hinojosa, Daniel Bolbaran, Esteban Gil, Guillermo Gutierrez-Alcaraz","doi":"10.1109/tpwrs.2024.3499313","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3499313","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"128 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Power Flow Approximations With Second-Order Sensitivity Insights 具有二阶敏感性洞察力的自适应功率流近似法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-18 DOI: 10.1109/tpwrs.2024.3499899
Paprapee Buason, Sidhant Misra, Jean-Paul Watson, Daniel K. Molzahn
{"title":"Adaptive Power Flow Approximations With Second-Order Sensitivity Insights","authors":"Paprapee Buason, Sidhant Misra, Jean-Paul Watson, Daniel K. Molzahn","doi":"10.1109/tpwrs.2024.3499899","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3499899","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"13 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Global Sensitivity Analysis for Integrated Heat and Electricity Energy System 热电综合能源系统的全球敏感性分析
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-18 DOI: 10.1109/tpwrs.2024.3500214
Yibo Li, Yijun Xu, Shuai Yao, Shuai Lu, Wei Gu, Lamine Mili, Mert Korkali
{"title":"Global Sensitivity Analysis for Integrated Heat and Electricity Energy System","authors":"Yibo Li, Yijun Xu, Shuai Yao, Shuai Lu, Wei Gu, Lamine Mili, Mert Korkali","doi":"10.1109/tpwrs.2024.3500214","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3500214","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"13 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structure-Preserving Model Order Reduction for Nonlinear DAE Models of Power Networks 电网非线性 DAE 模型的结构保持模型阶次削减
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-15 DOI: 10.1109/tpwrs.2024.3499853
Muhammad Nadeem, Ahmad F. Taha
{"title":"Structure-Preserving Model Order Reduction for Nonlinear DAE Models of Power Networks","authors":"Muhammad Nadeem, Ahmad F. Taha","doi":"10.1109/tpwrs.2024.3499853","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3499853","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"128 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Predict-and-Optimize Model for Day-Ahead Inertia Prediction Using Distributionally Robust Unit Commitment with Renewable Energy Sources 利用分布式稳健机组指令的可再生能源日前惯性预测与优化模型
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-11-15 DOI: 10.1109/tpwrs.2024.3499975
Fu Shen, Yang Cao, Mohammad Shahidehpour, Xiaoyuan Xu, Chong Wang, Jian Wang, Suwei Zhai
{"title":"Predict-and-Optimize Model for Day-Ahead Inertia Prediction Using Distributionally Robust Unit Commitment with Renewable Energy Sources","authors":"Fu Shen, Yang Cao, Mohammad Shahidehpour, Xiaoyuan Xu, Chong Wang, Jian Wang, Suwei Zhai","doi":"10.1109/tpwrs.2024.3499975","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3499975","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"25 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","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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