IEEE Transactions on Power Systems最新文献_第7页

A Three-Phase Power Flow Method Based on Hybrid Holomorphic Embedding Model for Unbalanced Radial Distribution Systems 基于混合全纯嵌入模型的不平衡径向配电系统三相潮流方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-03 DOI: 10.1109/TPWRS.2026.3670160

Yi Zhang;Weijie Cai;Chuandong Li;Tian Lan;Zhiyu Lin

{"title":"A Three-Phase Power Flow Method Based on Hybrid Holomorphic Embedding Model for Unbalanced Radial Distribution Systems","authors":"Yi Zhang;Weijie Cai;Chuandong Li;Tian Lan;Zhiyu Lin","doi":"10.1109/TPWRS.2026.3670160","DOIUrl":"10.1109/TPWRS.2026.3670160","url":null,"abstract":"The Holomorphic Embedding Load-Flow Method (HELM) suffers from poor convergence in large-scale, heavily loaded three-phase unbalanced distribution networks, while the fast and flexible HELM (FFHELM) may converge to non-physical solutions. To address these limitations, this paper proposes a hybrid three-phase power flow method termed HELMH, which combines HELM and FFHELM through an adaptive restart mechanism. HELMH first employs HELM to obtain a reliable high-voltage initial solution, then switches to FFHELM to accelerate the solution process. The three-phase formulation of FFHELM is also derived in this work. To handle slow convergence, stagnation, and divergence during the recursive process, an adaptive restart mechanism is proposed to accommodate various systems and convergence scenarios. The proposed method is validated on modified IEEE 13-, 34-, 123-, and 8500-node three-phase unbalanced test systems. Comparative studies against Newton-Raphson, HELM, and FFHELM demonstrate that HELMH achieves robust convergence and computational efficiency under heavy loading conditions.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2630-2642"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350324","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

Control of an HVDC Transmission System With Virtual Synchronous Machines Providing Inertia 虚拟同步电机提供惯性的高压直流输电系统控制

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.2026.3653951

Florian Reißner;George Weiss

{"title":"Control of an HVDC Transmission System With Virtual Synchronous Machines Providing Inertia","authors":"Florian Reißner;George Weiss","doi":"10.1109/TPWRS.2026.3653951","DOIUrl":"10.1109/TPWRS.2026.3653951","url":null,"abstract":"This paper proposes a <italic>virtual synchronous machine (VSM)-based control scheme of a <italic>high voltage direct current (HVDC) system to provide inertial frequency support without a dedicated energy reservoir, based on the energy stored in the submodule capacitors of the <italic>modular multilevel converters (MMCs) and the HVDC line itself. In order to achieve this, we introduce a <italic>direct current (DC)-voltage control scheme consisting of a slow and a very fast controller that allow the cell voltages and the DC-voltages to drop or rise by up to 10% in order to provide an energy reserve for inertia emulation, while protecting the system from over- and undervoltages. We investigate this control in a setup similar to the German Suedlink project, with 4 MMC converters in a <italic>rigid bipolar (RBP) configuration with a <inline-formula><tex-math>$pm 525$</tex-math></inline-formula> kV DC-line. Simulations show the performance of the system to provide inertia when the frequency in the power grid drops. The protection scheme is activated only when the DC-voltage drops below (or rises above) predefined thresholds, and is able to prevent the DC-voltage from leaving the allowed range. The control scheme is validated in simulations and compared to a more standard control scheme, where a fast DC-voltage controller is employed at one terminal.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2924-2936"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972039","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

Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization 利用贝叶斯优化选择配电网采用DER的关键场景

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-19 DOI: 10.1109/TPWRS.2026.3655693

Olivier Mulkin;Miguel Heleno;Mike Ludkovski

引用次数: 0

Missing Data Recovery for Electric Load Curves Based on Adaptive Curve Grafting and Noise Decomposition 基于自适应曲线嫁接和噪声分解的电力负荷曲线缺失数据恢复

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-20 DOI: 10.1109/TPWRS.2026.3655678

Nuo Xu;Lijun Fu;Xiaofei Wang;Zhenzhi Lin

{"title":"Missing Data Recovery for Electric Load Curves Based on Adaptive Curve Grafting and Noise Decomposition","authors":"Nuo Xu;Lijun Fu;Xiaofei Wang;Zhenzhi Lin","doi":"10.1109/TPWRS.2026.3655678","DOIUrl":"10.1109/TPWRS.2026.3655678","url":null,"abstract":"The development of smart and digital power systems relies on high-quality load data resources. However, data missing issues often arise during actual data collection due to various interferences. Thus, a missing load data recovery method for electric load curves based on bidirectional gated recurrent unit-driven load curve grafting and noise decomposition (BiGRU-LCG-ND) is proposed. Firstly, the load curve grafting method based on dynamic time warping (DTW), which accounts for the periodicity of load data, is proposed. Secondly, considering the uniqueness of load noise, a load noise decomposition method based on variational mode decomposition (VMD) and permutation entropy (PE) is presented for load noise reconstruction. Then, a hybrid interpolation method incorporating data preprocessing based on BiGRU and linear interpolation, load curve grafting, and noise decomposition is proposed to achieve missing load recovery, in which the method is conducted by the inherent periodicity, continuity, and uniqueness of load, enabling all components to work collaboratively to adapt to variable missing data scenarios. Finally, the case studies on the actual data from Zhejiang province, China are conducted to verify the effectiveness of the proposed method, and the results demonstrate that the proposed method outperforms other time-series interpolation methods in terms of error evaluation metrics and goodness-of-fit.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2826-2837"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042725","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

Asynchronous Distributed Scheduling of Active Distribution Network and Thermostatically Controlled Loads With MPC-Based Aggregation 基于mpc聚合的有源配电网异步分布式调度与恒温控制负荷

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.2026.3670270

Kaizhe Zhang;Jie Zhu;Yinliang Xu;Nengling Tai;Yurong Xie;Qiangyu Wen;Hongbin Sun

{"title":"Asynchronous Distributed Scheduling of Active Distribution Network and Thermostatically Controlled Loads With MPC-Based Aggregation","authors":"Kaizhe Zhang;Jie Zhu;Yinliang Xu;Nengling Tai;Yurong Xie;Qiangyu Wen;Hongbin Sun","doi":"10.1109/TPWRS.2026.3670270","DOIUrl":"10.1109/TPWRS.2026.3670270","url":null,"abstract":"The efficient aggregation, reliable scheduling and privacy protection can improve dispatching capacities of thermostatically controlled loads (TCLs). This paper proposes a statistically feasible chance-constrained programming (CCP) model for the active distribution network (ADN) with multiple TCL aggregators in a distributed manner. The distribution system operator (DSO) minimizes the operation cost of ADN under net load uncertainties. We construct the data-driven uncertainty set from samples based on an optimal shape approximation method and reformulate joint CCP into the tractable robust optimization. For the TCL dispatching, a model predictive control (MPC) based aggregation method is proposed to build TCL aggregators and optimize the operation of TCLs under ambient uncertainties. Furthermore, an asynchronous distributed algorithm is designed to solve the coordination problem between the ADN and TCLs as well as preserving participants’ privacy. Case studies demonstrate the effectiveness and reliability of the proposed model and algorithm for improving the economy of system participants under various uncertainties compared with other methods.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3134-3148"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361042","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

Toward Efficient Robust Dynamic Dispatch: A Two- Stage Model With Tight Upper Bound Guarantees 面向高效鲁棒动态调度：一个具有紧上界保证的两阶段模型

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-30 DOI: 10.1109/TPWRS.2026.3678790

Xin Zeng;Xiaodong Zheng;Haoyong Chen;Dipti Srinivasan

引用次数: 0

Coordinated Distribution Network Reconfiguration and Power Flow Optimization Based on Optimal Policy Tree and Constraint Learning 基于最优策略树和约束学习的配电网协同重构与潮流优化

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-02-06 DOI: 10.1109/TPWRS.2026.3661279

Jianfeng Zeng;Dundun Liu;Hongcai Zhang

{"title":"Coordinated Distribution Network Reconfiguration and Power Flow Optimization Based on Optimal Policy Tree and Constraint Learning","authors":"Jianfeng Zeng;Dundun Liu;Hongcai Zhang","doi":"10.1109/TPWRS.2026.3661279","DOIUrl":"10.1109/TPWRS.2026.3661279","url":null,"abstract":"Distribution network reconfiguration can help enhance grid flexibility and promote integration of distributed renewable generation. However, achieving rapid and accurate solutions for distribution network reconfiguration remains challenging due to the combinatorial complexity introduced by numerous integer variables. This paper proposes a learning-based two-stage method for coordinated distribution network reconfiguration and power flow optimization. The method decomposes the problem into two sequential stages: distribution network reconfiguration and power flow optimization. In the distribution network reconfiguration stage, an optimal policy tree model incorporating hyperplane splits is proposed, transforming the optimization problem into a classification task based on historical operational data. The proposed model guarantees a globally optimal structure by formulating the tree construction process as a mixed-integer program. Based on this structure, topology strategies can be efficiently and reliably identified. In the subsequent power flow optimization stage, three neural network-based constraint learning models are employed to train surrogate models for power flow constraints. These surrogate models are then linearized and embedded into the power flow optimization model, removing the dependency on exact topology information. Simulation results on the IEEE 33-bus, 119-bus, and 301-bus systems demonstrate that the proposed method guarantees topology optimality in 88.3%–96.6% of scenarios, achieves an optimality gap below 5.7%, and delivers solutions within 36 seconds, without requiring precise topology and line parameter information.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3172-3185"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134834","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

Distributed Voltage Unbalance Mitigation in Distribution Systems With Grid-Forming Control 基于成网控制的配电系统分布式电压不平衡缓解

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-20 DOI: 10.1109/TPWRS.2026.3656052

Shahin S. Nudehi;Dominic Groß

引用次数: 0

Stability Analysis in Large-Scale Centralized Bidirectional Inverter-Based Stations Connected to Bulk Power Systems Through AC and DC Connections 大型集中式双向逆变器站与大容量电力系统交直流连接的稳定性分析

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-28 DOI: 10.1109/TPWRS.2026.3658810

Qiang Fu;Wenjuan Du;Siqi Bu;Haifeng Wang

{"title":"Stability Analysis in Large-Scale Centralized Bidirectional Inverter-Based Stations Connected to Bulk Power Systems Through AC and DC Connections","authors":"Qiang Fu;Wenjuan Du;Siqi Bu;Haifeng Wang","doi":"10.1109/TPWRS.2026.3658810","DOIUrl":"10.1109/TPWRS.2026.3658810","url":null,"abstract":"Massive controlled DC resources (CDCRs), such as battery energy storage systems, are connected to AC power systems through bidirectional inverters for power balance requirements. This study investigates converter-driven stability (CDS) issues in the sub-synchronous frequency range caused by large-scale bidirectional inverter-based stations (IBSs). The impacts of the AC and DC connections of IBSs on subsynchronous oscillations (SSOs) are compared by examining three factors: the number of CDCRs, power flow direction, and control parameters of the inverters. For AC connections, IBSs may induce instability as the number of CDCRs increases, regardless of the power flow direction. To maintain stability, the maximum power amplitude of the IBS is calculated. It is found that switching to DC connections can reduce these instability risks if the DC line resistance is much less than the AC line reactance. Moreover, the method of tuning control parameters is demonstrated to be more effective in improving power-related critical stability under DC connections. Therefore, The DC-IBS is preferred for high-voltage transmission. Finally, the conclusions are validated in power systems connected with both AC- and DC-IBSs under various network topologies and system scales.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2590-2603"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070279","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

Beyond SCR: A Comprehensive Approach to System Strength Assessment in IBR-Rich Networks 超越SCR：富ibr网络系统强度评估的综合方法

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.2026.3690326

Sudipta Ghosh;Surour Alaraifi

引用次数: 0