IEEE Transactions on Power Systems最新文献_第8页

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

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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.2026.3700000

引用次数: 0

Distributed Stochastic Optimal Dispatching Strategy for the Energy Storage-Integrated Soft Open Points in Distribution Networks 配电网储能集成软开放点的分布式随机最优调度策略

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.2026.3653979

Changhee Han;Sungyoon Song

{"title":"Distributed Stochastic Optimal Dispatching Strategy for the Energy Storage-Integrated Soft Open Points in Distribution Networks","authors":"Changhee Han;Sungyoon Song","doi":"10.1109/TPWRS.2026.3653979","DOIUrl":"10.1109/TPWRS.2026.3653979","url":null,"abstract":"In this study, we propose a distributed energy management strategy for multi-terminal energy storage-integrated soft open points (ES-SOPs) to enable the flexible and coordinated operation of interconnected distribution networks (DNs) with high renewable penetration. We designed a bi-level distributed optimization framework to decompose the overall coordination problem into local DN operations and global ES-SOP management. The operational cost of each DN is minimized under relaxed reliability constraints using a distributionally robust chance-constrained (DRCC) formulation. The coordination layer minimizes the converter and battery losses and ensures a power balance between the battery and soft open points (SOPs). The DRCC approach addresses the PV and load forecast uncertainties without assuming specific distributions. The optimization problem is implemented using an analytical target cascading approach that ensures scalable convergence and preserves the DN independence. We conducted case studies to validate the effectiveness of the proposed method in balancing the operational cost of the DNs and power grid reliability by varying the key parameters in the DRCC framework (i.e., ambiguity set radius and risk parameters).","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2910-2923"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961936","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

Geometric Operational Security Region of Renewable Energy Generation: A Simplex Rotating Hyperpyramid Method 可再生能源发电的几何运行安全区域：一种单纯形旋转超金字塔方法

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.2026.3655792

Xuejun Hu;Can Wan;Chong Wang;Rongcan Xiao;Ping Ju

{"title":"Geometric Operational Security Region of Renewable Energy Generation: A Simplex Rotating Hyperpyramid Method","authors":"Xuejun Hu;Can Wan;Chong Wang;Rongcan Xiao;Ping Ju","doi":"10.1109/TPWRS.2026.3655792","DOIUrl":"10.1109/TPWRS.2026.3655792","url":null,"abstract":"High penetration of renewable energy generation (REG) presents severe uncertainties for power system operation. It is critical to quantify the accommodation level of REG in the nonlinear system operation model by calculating the geometry of the security region projection. This paper proposes a novel simplex rotating hyperpyramid (SRH) method to effectively obtain the geometric operational security region of REG based on the AC optimal power flow model. As a generalized convex geometry projection method, affine subspaces-based matrix operations are defined to simplify complex cross-dimensional geometric operations. Then, a rotating hyperpyramid is established as the basis tool of convex projection, which is conveniently constructed from a standard simplex. Based on the generated rotating hyperpyramid, a localized geometry construction method is proposed to achieve basic approximation components of the convex nonlinear region. Next, a dynamic global approximation iteration algorithm is developed to rapidly obtain the global geometric operational security region of REG. Comprehensive case studies demonstrate the effectiveness and superiority of the SRH method.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2967-2980"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001016","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

Integrated Primary-Secondary Distribution System State Estimation With Bimodal Error Distribution 基于双峰误差分布的综合主次配电系统状态估计

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-02-24 DOI: 10.1109/TPWRS.2026.3667487

Surendra Bajagain;Anamika Dubey

{"title":"Integrated Primary-Secondary Distribution System State Estimation With Bimodal Error Distribution","authors":"Surendra Bajagain;Anamika Dubey","doi":"10.1109/TPWRS.2026.3667487","DOIUrl":"10.1109/TPWRS.2026.3667487","url":null,"abstract":"Traditionally, measurement errors are assumed to follow Gaussian distribution in the state estimation process. However, statistical analysis of field measurements has shown that measurement errors can have multimodal and skewed distribution. This work aims to develop a static power distribution system state estimator that can capture skewed bimodal measurement error distribution and enable a joint medium-voltage (MV) primary feeders and low-voltage (LV) secondary feeders state estimation. A distributed primary-secondary (MV-LV) state estimation algorithm is proposed and iteratively executed until convergence at the MV-LV boundary. The primary state estimator is formulated as an equality-constrained maximum likelihood estimation problem and the secondary state estimator is formulated as a forward-backward sweep power flow problem. The proposed algorithm is demonstrated using the IEEE 123 bus distribution test feeder modified to include secondary network extensions at 47 different nodes. The simulation results show that the state estimation results are improved by considering skewed bimodal distribution for measurement errors, the performance of the state estimator with the approximate secondary model is highly sensitive to unbalanced loadings of the split-phase customer and the convergence speed of the joint MV-LV state estimation process is improved by collecting all the legs active and reactive power demands of the split-phase customer in LV feeders.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2655-2666"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147279080","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

Multi-Area Frequency Dynamic Constrained Unit Commitment Based on Bernstein Polynomial Approximation 基于Bernstein多项式近似的多区域频率动态约束单元承诺

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-06 DOI: 10.1109/TPWRS.2026.3670816

Chao Qin;Xu Hu;Yuan Zeng;Junzhi Ren

{"title":"Multi-Area Frequency Dynamic Constrained Unit Commitment Based on Bernstein Polynomial Approximation","authors":"Chao Qin;Xu Hu;Yuan Zeng;Junzhi Ren","doi":"10.1109/TPWRS.2026.3670816","DOIUrl":"10.1109/TPWRS.2026.3670816","url":null,"abstract":"The escalating integration of renewable energy sources into modern power systems has significantly reduced system inertia, intensifying frequency stability risks. Conventional frequency-constrained unit-commitment models inadequately capture inter-area frequency disparities and consequently misrepresent regional frequency dynamics, which is a critical shortcoming in multi-area power systems with nonuniform inertia distribution. This paper proposes a multi-area frequency-constrained unit commitment (MAFCUC) model that rigorously embeds regional frequency security constraints. Bernstein polynomial approximations are used to transcribe the differential–algebraic equations describing multi-area frequency response into tractable algebraic constraints. The proposed MAFCUC is formulated as a mixed-integer linear programming model, and an adaptive bi-level decomposition algorithm is developed to improve the solution efficiency, which dynamically estimates frequency nadir timing to streamline solution processes. The tightness and effectiveness of the proposed model in ensuring multi-area frequency security are validated across multiple test systems of different scales. Compared to conventional center-of-inertia-based methods, the MAFCUC model accurately captures regional frequency oscillations and improves frequency stability.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2717-2729"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147371358","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

Robust Deep Reinforcement Learning Based Coordinated Wide-Area Damping Control for Multimode Inter-Area Oscillations With Randomly Delayed PMU Measurements 基于鲁棒深度强化学习的PMU测量随机延迟多模区间振荡协调广域阻尼控制

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-06 DOI: 10.1109/TPWRS.2026.3670916

Qingyang Li;Shichao Liu;Chunsheng Yang;Hicham Chaoui;Abdulmotaleb El Saddik

{"title":"Robust Deep Reinforcement Learning Based Coordinated Wide-Area Damping Control for Multimode Inter-Area Oscillations With Randomly Delayed PMU Measurements","authors":"Qingyang Li;Shichao Liu;Chunsheng Yang;Hicham Chaoui;Abdulmotaleb El Saddik","doi":"10.1109/TPWRS.2026.3670916","DOIUrl":"10.1109/TPWRS.2026.3670916","url":null,"abstract":"Although the integration of phasor measurement units (PMUs) and wide-area transmission systems improves the system stability by transmitting the remote control signals to dampen inter-area low-frequency oscillations (LFOs), the reliance on communication networks for signal transmission induced time delays, significantly degrading wide-area damping control (WADC) performance. This paper proposes a coordinated WADC scheme to damp multi-mode LFOs. For LFO modes with small disturbances, this work designs a deep reinforcement learning (DRL) based WADC with a long short-term memory (LSTM) delay compensator. DRL agent adapts to the unknown power systems by designing an optimal stabilization voltage action set. For LFOs with large disturbances, this paper proposed robust DRL-based WADC to stabilize power systems with severe LFOs with online training for a continuous optimal action set. The minimax DRL algorithm optimizes the worst-case performance of the proposed policy and therefore provides robustness to uncertainties. The cyber layer metric (time delay) and the physical system metrics (phase angle and speed) are uniquely combined into the state set and provide sufficient cyber-physical information for the DRL agent. Extensive comparisons on two large IEEE systems under multimode LFOs demonstrate that the proposed coordinated WADCs can improve 20<inline-formula><tex-math>$%$</tex-math></inline-formula> to 35<inline-formula><tex-math>$%$</tex-math></inline-formula> of the stabilization effectiveness and save 50<inline-formula><tex-math>$%$</tex-math></inline-formula> of the training costs.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2468-2481"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147371359","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

Multi-Parametric Nonlinear Programming for Lossy LMP Sensitivity Analysis Using Outer Progressive Cuts 基于外部渐进切割的有损LMP灵敏度分析多参数非线性规划

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-06 DOI: 10.1109/TPWRS.2026.3670782

Yuhan Huang;Tao Ding;Chenggang Mu;Rui Bo;Pengwei Du

引用次数: 0