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IEEE Transactions on Power Systems最新文献

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Transient Stability Analysis of the CIG-Embedded Power Systems Considering Multiple Stable Equilibrium Points 考虑多个稳定平衡点的 CIG 嵌入式电力系统暂态稳定性分析
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-08 DOI: 10.1109/tpwrs.2024.3440342
Yiming Wang, Shiyun Xu, Huadong Sun, Chen Shen, Tiankai Lan
{"title":"Transient Stability Analysis of the CIG-Embedded Power Systems Considering Multiple Stable Equilibrium Points","authors":"Yiming Wang, Shiyun Xu, Huadong Sun, Chen Shen, Tiankai Lan","doi":"10.1109/tpwrs.2024.3440342","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3440342","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908989","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
Voltage Unbalance Factor Reduction Method for Inverter-Based Resources Considering Active Power Constraint 考虑有功功率约束的逆变器型资源的电压不平衡因数降低方法
IF 6.5 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-07 DOI: 10.1109/TPWRS.2024.3439988
Yukun Qiu;Zhen He;Heng Nian;Chen Zhao;Dan Sun;Bin Hu;Yuming Liao
{"title":"Voltage Unbalance Factor Reduction Method for Inverter-Based Resources Considering Active Power Constraint","authors":"Yukun Qiu;Zhen He;Heng Nian;Chen Zhao;Dan Sun;Bin Hu;Yuming Liao","doi":"10.1109/TPWRS.2024.3439988","DOIUrl":"10.1109/TPWRS.2024.3439988","url":null,"abstract":"Unbalanced voltages have a significant impact on power system security. Inverter-based resources (IBRs) show great potentials in managing the unbalanced voltages. However, the mitigation of voltage unbalance factor (VUF) through IBRs is challenged by the nonlinearity stemming from the product of voltage and current, and square root operation considering active power constraints. In this letter, a VUF reduction model considering active power constraint is established and solved analytically by the Karush–Kuhn–Tucker (KKT) conditions. Compared with the existing unbalance optimal methods, the proposed method shows a better performance in VUF reduction. Moreover, the solution of the proposed method is no iteration required.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141904486","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 Risk-Sharing Bi-Level Framework for Multi-Area Electricity Markets against Extreme Events 多地区电力市场应对极端事件的双层风险分担框架
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-06 DOI: 10.1109/tpwrs.2024.3439313
Jianing Lin, Minglei Bao, Yanqiu Hou, Yi Ding, Zhenglin Yang
{"title":"A Risk-Sharing Bi-Level Framework for Multi-Area Electricity Markets against Extreme Events","authors":"Jianing Lin, Minglei Bao, Yanqiu Hou, Yi Ding, Zhenglin Yang","doi":"10.1109/tpwrs.2024.3439313","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3439313","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899808","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
User Equilibrium Analysis of Aggregative Game in Demand Response 需求响应中聚合博弈的用户均衡分析
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-05 DOI: 10.1109/tpwrs.2024.3438540
Fengyuan Jin, Chengcheng Shao, Ke Li, Xin Jin, Mohammad Shahidehpour, Xifan Wang
{"title":"User Equilibrium Analysis of Aggregative Game in Demand Response","authors":"Fengyuan Jin, Chengcheng Shao, Ke Li, Xin Jin, Mohammad Shahidehpour, Xifan Wang","doi":"10.1109/tpwrs.2024.3438540","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3438540","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895683","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
Optimality-Guaranteed Acceleration of Unit Commitment Calculation via Few-shot Solution Prediction 通过少数几个解决方案预测实现有保证的最优化加速机组承诺计算
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-05 DOI: 10.1109/tpwrs.2024.3438769
Qian Gao, Zhifang Yang, Wenyuan Li, Juan Yu
{"title":"Optimality-Guaranteed Acceleration of Unit Commitment Calculation via Few-shot Solution Prediction","authors":"Qian Gao, Zhifang Yang, Wenyuan Li, Juan Yu","doi":"10.1109/tpwrs.2024.3438769","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3438769","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895614","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
Estimating the Basin of Attraction for the Power Flow Equations in Power Distribution Networks 估算配电网络中电力流方程的吸引力盆地
IF 6.5 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-02 DOI: 10.1109/TPWRS.2024.3437649
Alejandro Garcés-Ruiz
{"title":"Estimating the Basin of Attraction for the Power Flow Equations in Power Distribution Networks","authors":"Alejandro Garcés-Ruiz","doi":"10.1109/TPWRS.2024.3437649","DOIUrl":"10.1109/TPWRS.2024.3437649","url":null,"abstract":"This letter presents an inner and outer estimation for the basin of attraction of the power flow in power distribution networks. The proposed methodology can be used to define the convergence region of the power flow algorithm and to estimate the minimum and maximum voltage of the grid without explicitly solving the power flow equations. Numerical experiments in the three-phase unbalanced IEEE 906 nodes test system show the use of the proposed methodology. Results include convergence analysis as well as a quasi-dynamic simulation considering 1440 different scenarios of load and renewable power generation.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141880147","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
Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent Abilities 用于大规模电力系统分析的扩展图神经网络：新兴能力的经验法则
IF 6.5 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-08-02 DOI: 10.1109/TPWRS.2024.3437651
Yuhong Zhu;Yongzhi Zhou;Lei Yan;Zuyi Li;Huanhai Xin;Wei Wei
{"title":"Scaling Graph Neural Networks for Large-Scale Power Systems Analysis: Empirical Laws for Emergent Abilities","authors":"Yuhong Zhu;Yongzhi Zhou;Lei Yan;Zuyi Li;Huanhai Xin;Wei Wei","doi":"10.1109/TPWRS.2024.3437651","DOIUrl":"10.1109/TPWRS.2024.3437651","url":null,"abstract":"The scale-up of AI models for analyzing large-scale power systems necessitates a thorough understanding of their scaling properties. Existing studies on these properties provide only partial insights, showing predictable decreases in loss function with increased model scales; yet no scaling law for power system AI models has been established, resulting in unpredictable performance. This letter introduces and explores the concept of “emergent abilities” in graph neural networks (GNN) used for analyzing large-scale power systems–a phenomenon where model performance improves dramatically once its scale exceeds a threshold. We further introduce an empirical power-law formula to quantify the relationship between this threshold and the power system size. Our theory precisely predicts the threshold for the emergence of these abilities in large-scale power systems, including both a synthetic 10,000-bus and a real-world 19,402-bus system.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141880139","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
An Online Approach for Dimensioning Fast Frequency Response Reserve in a Low Inertia Power System 低惯性电力系统快速频率响应储备尺寸在线计算方法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-31 DOI: 10.1109/tpwrs.2024.3434485
Akhilesh Panwar, Zakir Hussain Rather, Ariel Liebman, Roger Dargaville, Suryanarayana Doolla
{"title":"An Online Approach for Dimensioning Fast Frequency Response Reserve in a Low Inertia Power System","authors":"Akhilesh Panwar, Zakir Hussain Rather, Ariel Liebman, Roger Dargaville, Suryanarayana Doolla","doi":"10.1109/tpwrs.2024.3434485","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3434485","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862124","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 Projected Gradient Descent-Based Distributed Optimal Control Method of Medium-Voltage DC Distribution System Considering Line Loss 考虑线路损耗的基于投影梯度下降的中压直流配电系统分布式优化控制方法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-30 DOI: 10.1109/tpwrs.2024.3435789
Wenbiao Lu, Qian Xiao, Hongjie Jia, Yu Jin, Yunfei Mu, Jiebei Zhu, Chen Shen, Remus Teodorescu, Josep M. Guerrero
{"title":"A Projected Gradient Descent-Based Distributed Optimal Control Method of Medium-Voltage DC Distribution System Considering Line Loss","authors":"Wenbiao Lu, Qian Xiao, Hongjie Jia, Yu Jin, Yunfei Mu, Jiebei Zhu, Chen Shen, Remus Teodorescu, Josep M. Guerrero","doi":"10.1109/tpwrs.2024.3435789","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3435789","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141857657","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
Scalable Risk Assessment of Rare Events in Power Systems with Uncertain Wind Generation and Loads 具有不确定风力发电和负载的电力系统中罕见事件的可扩展风险评估
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-30 DOI: 10.1109/tpwrs.2024.3435490
Bendong Tan, Junbo Zhao, Yousu Chen
{"title":"Scalable Risk Assessment of Rare Events in Power Systems with Uncertain Wind Generation and Loads","authors":"Bendong Tan, Junbo Zhao, Yousu Chen","doi":"10.1109/tpwrs.2024.3435490","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3435490","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141857893","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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