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IEEE Transactions on Power Systems最新文献

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Unifying Load Disaggregation and Prediction for Buildings with Behind-the-Meter Solar 统一表后太阳能建筑的负荷分解和预测
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-22 DOI: 10.1109/tpwrs.2024.3431952
Yating Zhou, Meng Wang
{"title":"Unifying Load Disaggregation and Prediction for Buildings with Behind-the-Meter Solar","authors":"Yating Zhou, Meng Wang","doi":"10.1109/tpwrs.2024.3431952","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3431952","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141755006","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 Unifying Framework for Short-Term Load Forecasting via EM-CCGPBOATT Methodology 通过 EM-CCGPBOATT 方法进行短期负荷预测的统一框架
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-22 DOI: 10.1109/tpwrs.2024.3431880
Juan Xing, Jia Su, Yixun Xue, Xinyue Chang, Zening Li, Hongbin Sun
{"title":"A Unifying Framework for Short-Term Load Forecasting via EM-CCGPBOATT Methodology","authors":"Juan Xing, Jia Su, Yixun Xue, Xinyue Chang, Zening Li, Hongbin Sun","doi":"10.1109/tpwrs.2024.3431880","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3431880","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141754955","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
Chance Constrained MDP Formulation and Bayesian Advantage Policy Optimization for Stochastic Dynamic Optimal Power Flow 随机动态优化电力流的机会约束 MDP 计算和贝叶斯优势策略优化
IF 6.5 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-18 DOI: 10.1109/TPWRS.2024.3430650
Yizhi Wu;Yujian Ye;Jianxiong Hu;Peilin Zhao;Liu Liu;Goran Strbac;Chongqing Kang
{"title":"Chance Constrained MDP Formulation and Bayesian Advantage Policy Optimization for Stochastic Dynamic Optimal Power Flow","authors":"Yizhi Wu;Yujian Ye;Jianxiong Hu;Peilin Zhao;Liu Liu;Goran Strbac;Chongqing Kang","doi":"10.1109/TPWRS.2024.3430650","DOIUrl":"10.1109/TPWRS.2024.3430650","url":null,"abstract":"Although deep reinforcement learning based on Markov Decision Process (MDP) constitutes a well-suited method for real-time control under uncertainties, its application to stochastic dynamic optimal power flow (SDOPF) problem is still challenging in the presence of increasing proliferation of various distributed energy resources, driven by its limitations on constraints satisfaction under uncertainties. While pioneering research explored Constrained MDP and Risk-Aware MDP formulations of SDOPF pursuing cumulative constraint violation minimization, they both struggle with satisfaction of state-wise safety constraints. This letter proposes a Chance Constrained MDP formulation of SDOPF and a Bayesian advantage policy optimization solution method. Bayesian neural networks are used to construct the probability distributions of state- and trajectory-wise constraint violations, and a novel advantage function is incorporated to improve both the policy's quality and safety. Case studies validated the cost-efficiency and comprehensive safety performance of the proposed method against the state-of-the-art.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141725967","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 Virtual Graph Constrained Learning Method for Power Flow Calculation 用于电力流计算的虚拟图约束学习法
IF 6.5 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-17 DOI: 10.1109/TPWRS.2024.3429782
Jianping Yang;Yue Xiang
{"title":"A Virtual Graph Constrained Learning Method for Power Flow Calculation","authors":"Jianping Yang;Yue Xiang","doi":"10.1109/TPWRS.2024.3429782","DOIUrl":"10.1109/TPWRS.2024.3429782","url":null,"abstract":"To enhance the practical consistency and interpretability of deep learning approaches in power flow (PF) calculation, this letter proposes a virtual graph constrained message passing neural network (VGC-MPNN) for PF analysis, which defines a virtual graph from the mathematical expression of variables to enhance the binding force of power flow equations. Different from the existing methods that simply adopt the form of penalty function to learn the physical constraints, the proposed method empowers the mathematical expression into the feedforward process of the neural network to ensure a consistent solution, which performs internal solution logic instead of fitting the labeled output of the Newton-Raphson solver. Numerical analysis shows that the proposed VGC-MPNN could guarantee the physical consistency of original PFEs and improve the sensitivity of physical non-convergence, while the topological adaptability is also proved by considering network variations.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141725970","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
Estimation of Area Frequency Response in Island Operation Mode by Utilizing Interconnected Power System Measurements 利用互联电力系统测量估算孤岛运行模式下的区域频率响应
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-17 DOI: 10.1109/tpwrs.2024.3430085
Tomislav Baškarad, Ninoslav Holjevac, Igor Kuzle, Janne Seppänen
{"title":"Estimation of Area Frequency Response in Island Operation Mode by Utilizing Interconnected Power System Measurements","authors":"Tomislav Baškarad, Ninoslav Holjevac, Igor Kuzle, Janne Seppänen","doi":"10.1109/tpwrs.2024.3430085","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3430085","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141725971","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
Instability Pattern-guided Model Updating Method for Data-driven Transient Stability Assessment 数据驱动瞬态稳定性评估的不稳定性模式引导模型更新法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-16 DOI: 10.1109/tpwrs.2024.3429339
Huaiyuan Wang, Fajun Gao, Qifan Chen, Siqi Bu, Chao Lei
{"title":"Instability Pattern-guided Model Updating Method for Data-driven Transient Stability Assessment","authors":"Huaiyuan Wang, Fajun Gao, Qifan Chen, Siqi Bu, Chao Lei","doi":"10.1109/tpwrs.2024.3429339","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3429339","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631580","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
Uncovering Load-Altering Attacks Against $N-1$ Secure Power Grids: A Rare-Event Sampling Approach 揭示针对 $N-1$ 安全电网的负载调整攻击：罕见事件采样法
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-11 DOI: 10.1109/tpwrs.2024.3419725
Maldon Patrice Goodridge, Subhash Lakshminarayana, Alessandro Zocca
{"title":"Uncovering Load-Altering Attacks Against $N-1$ Secure Power Grids: A Rare-Event Sampling Approach","authors":"Maldon Patrice Goodridge, Subhash Lakshminarayana, Alessandro Zocca","doi":"10.1109/tpwrs.2024.3419725","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3419725","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597674","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
Interpretable Deep Reinforcement Learning with Imitative Expert Experience for Smart Charging of Electric Vehicles 利用模仿专家经验的可解释深度强化学习为电动汽车智能充电
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-10 DOI: 10.1109/tpwrs.2024.3425843
Shuangqi Li, Alexis Pengfei Zhao, Chenghong Gu, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng
{"title":"Interpretable Deep Reinforcement Learning with Imitative Expert Experience for Smart Charging of Electric Vehicles","authors":"Shuangqi Li, Alexis Pengfei Zhao, Chenghong Gu, Siqi Bu, Edward Chung, Zhongbei Tian, Jianwei Li, Shuang Cheng","doi":"10.1109/tpwrs.2024.3425843","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3425843","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584147","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
First Order Accelerated Robust Dual Dynamic Programming for Robust Economic Dispatch 用于稳健经济调度的一阶加速稳健双动态程序设计
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-10 DOI: 10.1109/tpwrs.2024.3425790
Yu Lan, Qiaozhu Zhai, Xiaoming Liu, Xiaohong Guan
{"title":"First Order Accelerated Robust Dual Dynamic Programming for Robust Economic Dispatch","authors":"Yu Lan, Qiaozhu Zhai, Xiaoming Liu, Xiaohong Guan","doi":"10.1109/tpwrs.2024.3425790","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3425790","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584148","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
Utilizing Demand Response in Load Modelling for Voltage and Reactive Power Control Studies 利用负载建模中的需求响应进行电压和无功功率控制研究
IF 6.6 1区 工程技术
IEEE Transactions on Power Systems Pub Date : 2024-07-09 DOI: 10.1109/tpwrs.2024.3425157
Imre Drovtar, Madis Leinakse, Kaur Tuttelberg, Jako Kilter
{"title":"Utilizing Demand Response in Load Modelling for Voltage and Reactive Power Control Studies","authors":"Imre Drovtar, Madis Leinakse, Kaur Tuttelberg, Jako Kilter","doi":"10.1109/tpwrs.2024.3425157","DOIUrl":"https://doi.org/10.1109/tpwrs.2024.3425157","url":null,"abstract":"","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566126","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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