IEEE Transactions on Power Systems最新文献_第5页

Power System Robust State Estimation As a Layer: An Optimization-embedded End-to-end Learning Approach 电力系统鲁棒状态估计作为一层：一种嵌入优化的端到端学习方法

IF 6.6 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-08-17 DOI: 10.1109/tpwrs.2026.3724243

Yibo Ding, Wenzhuo Shi, Mengzhao Duan, Yuhong Zhao, Jiaqi Ruan, Jian Zhao, Zhao Xu

引用次数: 0

Co-Planning of Multi-Type Switches and Tie Lines in Flexible Interconnected Distribution Networks Integrating Explicit Reliability Assessment 基于显式可靠性评估的柔性互联配电网多类型交换机和配线协同规划

IF 6.6 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-08-17 DOI: 10.1109/tpwrs.2026.3724720

Moyuan Yang, Shenxi Zhang, Keyan Liu, Yichen Shen, Haozhong Cheng

引用次数: 0

Accelerating Multi-Contingency Simulation Through Physics-Data-Hybrid Mode Decomposition 通过物理-数据混合模式分解加速多事件模拟

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-14 DOI: 10.1109/TPWRS.2026.3654033

Yao Xiao;Yifan Zhou

{"title":"Accelerating Multi-Contingency Simulation Through Physics-Data-Hybrid Mode Decomposition","authors":"Yao Xiao;Yifan Zhou","doi":"10.1109/TPWRS.2026.3654033","DOIUrl":"10.1109/TPWRS.2026.3654033","url":null,"abstract":"Fast simulation of power grid dynamics under multi-contingency (e.g., <inline-formula><tex-math>$N{-}k$</tex-math></inline-formula> events and cascading failures) is crucial for identifying vulnerabilities and supporting real-time decision-making. However, conducting multi-contingency simulations is notably challenging, as conventional numerical integrations are computationally intensive, while learning-based methods struggle to accommodate the extensive variability in topology, parameters, and human or automated operations. This paper develops a Physics-Data-Hybrid Mode Decomposition (HyMoD) approach for fast dynamical simulation under multiple contingencies. Contributions are fourfold: (1) An hybrid automaton-based simulation architecture is developed to depict the multi-contingency process, serving as the foundation for integrating HyMoD with multi-contingency simulation; (2) A HyMoD framework is devised to enable the iteration-free multi-contingency simulation, where physical operators respond to discrete events and the Mori–Zwanzig formalism linearly represents continuous-time dynamics via memory terms; (3) Data-free physical operators are derived, along with a physics-guided correction method that update the HyMoD operator to track the evolving dynamics; (4) On-the-fly updating and monitoring techniques are introduced to update HyMoD operators with high efficiency using incremental data and evaluate the simulation accuracy in real time. Numerical studies on real-scale systems with both synchronous generators and inverter-based resources validate the efficacy of HyMoD under diverse multi-contingency and cascading scenarios. The accuracy, efficiency, and reliability of HyMoD are demonstrated.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2981-2993"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972041","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

Sequential Convex Approximation Approach for Chance-Constrained AC Optimal Power Flow Under Arbitrary Random Distribution With Mild Conditions 温和条件下任意随机分布下机会约束交流最优潮流的序贯凸逼近方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-04 DOI: 10.1109/TPWRS.2026.3670499

Jiajun Chen;Jianquan Zhu;Haixin Liu;Tao Jiang;Yuhao Luo;Mingbo Liu

{"title":"Sequential Convex Approximation Approach for Chance-Constrained AC Optimal Power Flow Under Arbitrary Random Distribution With Mild Conditions","authors":"Jiajun Chen;Jianquan Zhu;Haixin Liu;Tao Jiang;Yuhao Luo;Mingbo Liu","doi":"10.1109/TPWRS.2026.3670499","DOIUrl":"10.1109/TPWRS.2026.3670499","url":null,"abstract":"In this paper, a sequential convex approximation (SCA) approach is proposed for solving the chance-constrained AC optimal power flow (CC-ACOPF) under arbitrary random distribution with mild conditions. Unlike traditional approaches that are only theoretically applicable to transforming chance constraints to some tractable constraints under Gaussian distributions, SCA can complete the same task while not restricted by the forms of random distributions. This makes more sense because the uncertainties of power systems usually follow non-Gaussian distributions. However, the proposed SCA approach is time-consuming, since it needs to sample massive scenarios to simulate the random variables’ distributions existing in chance constraints. To this end, a distribution projection (DP) technique is further proposed to directly describe these random distributions in the Bernstein polynomial space. In this way, the repeated calculations in massive sampling scenarios can be omitted, thereby improving the computation efficiency of the SCA approach significantly. Case studies in several test systems validate the effectiveness of the proposed approach.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2533-2546"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361043","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

Instantaneous Complex Phase and Frequency: Conceptual Clarification and Equivalence Between Formulations 瞬时复相与频率：公式之间的概念澄清与等价

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-04-27 DOI: 10.1109/TPWRS.2026.3688072

César García-Veloso;Mario Paolone;Federico Milano

引用次数: 0

Exploring the Inexactness of Second-Order Cone Relaxations for Calculating Operating Envelopes 探索计算操作包络的二阶锥松弛的不精确性

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-26 DOI: 10.1109/TPWRS.2026.3657755

Hannah Moring;Daniel K. Molzahn;Johanna L. Mathieu

{"title":"Exploring the Inexactness of Second-Order Cone Relaxations for Calculating Operating Envelopes","authors":"Hannah Moring;Daniel K. Molzahn;Johanna L. Mathieu","doi":"10.1109/TPWRS.2026.3657755","DOIUrl":"10.1109/TPWRS.2026.3657755","url":null,"abstract":"Rapidly growing deployments of distributed energy resources like rooftop solar and electric vehicles have disrupted the status quo of distribution network operations. Power export/import limits that change as network conditions change, also known as operating envelopes, have been proposed as a means of safely operating distribution networks containing distributed energy resources. This paper analyzes the impacts of using convex relaxations, specifically the second-order cone relaxation, for determining the limits required for safe operation. Building on prior work, we illustrate the inadequacy of operating envelopes calculated using a second-order cone relaxation for ensuring network safety. Then we illustrate the complexity in the relationship between the relaxation, the nonlinear formulation, and the network parameters using a simple 2-bus example. For the case of purely resistive, radial networks and the case of purely reactive, radial networks, we prove that the second-order cone relaxation is inexact and exact, respectively, for the operating envelope problem. This work illustrates that while using a second-order cone relaxation to determine operating envelopes will not always result in overly large bounds, it often will, potentially leading to over- and under-voltages.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3108-3120"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056610","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

IEEE Transactions on Power Systems Information for Authors IEEE电力系统信息汇刊

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-06-24 DOI: 10.1109/TPWRS.2026.3699998

引用次数: 0

Unit Commitment of Integrated Electric-Natural Gas-Hydrogen Systems Including FCR Services 包括FCR服务在内的电力-天然气-氢一体化系统的单位承诺

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-13 DOI: 10.1109/TPWRS.2026.3653968

Sheng Chen;Lei Zhu;Antonio J. Conejo;Zhinong Wei

引用次数: 0

Machine Learning–Enhanced Quantum–Classical Benders Decomposition for Stochastic Unit Commitment 随机单元承诺的机器学习增强量子经典Benders分解

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-14 DOI: 10.1109/TPWRS.2026.3653867

Reza Mahroo;Amin Kargarian

引用次数: 0

Digital Real-Time Simulation Advancing Education and Training on Power and Energy Systems 数字实时仿真促进电力和能源系统的教育和培训

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-02-03 DOI: 10.1109/TPWRS.2026.3660662

Panos Kotsampopoulos;Alexandros Paspatis;Nikos Hatziargyriou;Masoud Davari;Georgios Konstantinou;Ahmed F. Zobaa;Shady H. E. Abdel Aleem;Mazheruddin Syed;Peter Palensky;Ian Cowan;Hani Saad;Jean Patric da Costa;Ron Brandl;Xiaoyu Wang;Danielle Sami Nasrallah;Georg Lauss;Kai Strunz;Ilka Jahn;Rafael Peña Alzola;Rad Stanev;Antonello Monti;Anurag K. Srivastava;Thomas I. Strasser;Manuel Barragán-Villarejo;Paul Forsyth;Md Omar Faruque

{"title":"Digital Real-Time Simulation Advancing Education and Training on Power and Energy Systems","authors":"Panos Kotsampopoulos;Alexandros Paspatis;Nikos Hatziargyriou;Masoud Davari;Georgios Konstantinou;Ahmed F. Zobaa;Shady H. E. Abdel Aleem;Mazheruddin Syed;Peter Palensky;Ian Cowan;Hani Saad;Jean Patric da Costa;Ron Brandl;Xiaoyu Wang;Danielle Sami Nasrallah;Georg Lauss;Kai Strunz;Ilka Jahn;Rafael Peña Alzola;Rad Stanev;Antonello Monti;Anurag K. Srivastava;Thomas I. Strasser;Manuel Barragán-Villarejo;Paul Forsyth;Md Omar Faruque","doi":"10.1109/TPWRS.2026.3660662","DOIUrl":"10.1109/TPWRS.2026.3660662","url":null,"abstract":"Tackling the challenges of the energy transition requires a skilled workforce and advanced educational and training tools. During the previous years, a relatively large number of institutions have acquired Real-Time Simulators, in both academia and industry. However, this is mainly used for practical studies and research, while the use of real-time Hardware-In-the-Loop (HIL) simulation for education and training is rather limited at the moment. In this framework, this work investigates the potential of using HIL simulation for education and training purposes on power and energy topics in both academia and industry. Selected reference experiences of the Task Force members are presented along with learners’ feedback to substantiate the effectiveness of the approaches. Particular attention is given to training and education at industrial level, which has not been adequately addressed in the literature, so far. The use of remote laboratories and safety concerns are also addressed.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3202-3213"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110322","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