IEEE Transactions on Power Systems最新文献_第10页

Distributed Consensus-Based Model Predictive Control of Inverter Air Conditioners for Voltage Regulation in Distribution Systems 基于分布式共识的配电系统逆变空调调压模型预测控制

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-02-17 DOI: 10.1109/TPWRS.2026.3665716

Lunshu Chen;Hongxun Hui;Yonghua Song;Ye Chen;Wei Feng

{"title":"Distributed Consensus-Based Model Predictive Control of Inverter Air Conditioners for Voltage Regulation in Distribution Systems","authors":"Lunshu Chen;Hongxun Hui;Yonghua Song;Ye Chen;Wei Feng","doi":"10.1109/TPWRS.2026.3665716","DOIUrl":"10.1109/TPWRS.2026.3665716","url":null,"abstract":"Distribution system voltage violation problems are receiving more attention due to the high penetration of fluctuating distributed renewable energies. With the development of Internet of Things technologies, demand response is becoming promising to stabilize the distribution system voltage with local demand-side resources. Inverter air conditioners (IACs) account for a large share in demand-side power consumption, which has been widely considered as appropriate resources to provide voltage regulation services for the distribution system by temporally adjusting the power consumption. However, it remains a challenge to schedule large-scale distributed IACs to participate in voltage regulation services considering their complex operation characteristics with both active and reactive powers. To address this problem, this paper proposes a distributed consensus-based model predictive control (DCMPC) algorithm to coordinate the active and reactive power of IACs to participate in voltage regulation. Distributed consensus-based processing allows the IACs to be appropriately scheduled to respond to the regulation signals. The proposed DCMPC algorithm is validated by the realistic IACs aggregated regulation system and hardware-in-the-loop experiments. The experimental results show that the DCMPC algorithm can effectively schedule IACs to keep the voltage operating within the security range and achieve good thermal comfort for customers during voltage regulation.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2441-2453"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146208645","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

Alternating Refined Constraint Method: A Multi-Objective Solution Approach for Energy Systems Optimization 交替精细约束法：能源系统优化的多目标求解方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-04-09 DOI: 10.1109/TPWRS.2026.3682532

Yingzhao Tang;Shixing Ding;Zhigang Lu;Wei Gu;Chongqing Kang;Yijun Xu;Ershun Du

引用次数: 0

An Entropy-Preserving Sparse Approximation Method for Voltage Security Regions Based on Information Theory 基于信息论的电压安全区域保熵稀疏逼近方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-06 DOI: 10.1109/TPWRS.2026.3670864

Kehuai Zhao;Tao Niu;Sidun Fang;Guanhong Chen

{"title":"An Entropy-Preserving Sparse Approximation Method for Voltage Security Regions Based on Information Theory","authors":"Kehuai Zhao;Tao Niu;Sidun Fang;Guanhong Chen","doi":"10.1109/TPWRS.2026.3670864","DOIUrl":"10.1109/TPWRS.2026.3670864","url":null,"abstract":"Owing to the relatively weak grid structure and insufficient control capabilities of power systems with high proportions of renewable energy, traditional analysis approaches for voltage-related faults, such as voltage security regions (VSRs), nearly all have the disadvantages associated with large scales, complex dynamics and high dimensions. Therefore, considering the perspective of information in systems with low-dimensional projections and high-dimensional spaces, an information-theory-based method for the entropy-preserving sparse approximation (EPSA) of VSRs that can dramatically accelerate the computation while ensuring accuracy was used in this study. First, a bus information quantity (BIQ) index was established to identify the bus set with the most information. Then, in the reduced-dimensional space, a parallel algorithm of boundary fitting and clustering was proposed to acquire source data with low-dimensional projection. Furthermore, a multisource channel model of the VSR was established, obtaining the sparse polynomial bases of the VSR while preserving entropy from source data and sparsely approximating the VSR via hyperplane reconstruction theory. Finally, the proposed EPSA-VSR method was verified on modified IEEE 39-bus, 118-bus, and 300-bus systems, revealing the advantages of fast computation and high accuracy.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3186-3201"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147371360","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 Identification and Correction of Multiple Parameter Errors in Power Networks Using a Relaxation-Regularization Method 基于松弛-正则化方法的电网多参数误差鲁棒识别与校正

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-05 DOI: 10.1109/TPWRS.2026.3650784

Dong Liang;Bingze Zhang;Lin Zeng;Hsiao-Dong Chiang;Wei Tian

{"title":"Robust Identification and Correction of Multiple Parameter Errors in Power Networks Using a Relaxation-Regularization Method","authors":"Dong Liang;Bingze Zhang;Lin Zeng;Hsiao-Dong Chiang;Wei Tian","doi":"10.1109/TPWRS.2026.3650784","DOIUrl":"10.1109/TPWRS.2026.3650784","url":null,"abstract":"Accurate line and transformer parameters are essential for all application functions in the energy management system. Assessment and decision results will be distorted if parameter errors exist. This paper proposes a novel robust method for simultaneous identification and correction of multiple parameter errors in power networks using a relaxation-regularization technique. The parameter error identification problem is first formulated as a regularized multi-snapshot weighted least squares problem with adjustable constraints on parameter ranges. Erroneous parameters are identified by solving the regularized problem multiple times with increasing regularization parameters. Analytical justification is provided that, by penalizing the parameter ranges through the regularization term, the ranges of correct parameters will rapidly shrink while the shrinkage of erroneous parameters’ ranges is much slower. The model is then converted into a robust Huber M-estimation formulation with inequality constraints, which rejects bad measurements automatically. The effectiveness of the proposed method is verified using a large number of erroneous parameter combinations under different measurement noise levels, measurement redundancies and scenarios containing bad measurements with promising results.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2482-2493"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903443","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

Comparison of Positive-Sequence Analysis With EMT Analysis for Integrated Transmission and DER-Rich Distribution Systems 综合输电与富der配电系统正序分析与EMT分析的比较

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-12 DOI: 10.1109/TPWRS.2026.3652811

Giritharan Vijay Iswaran;Vijay Vittal;Mojdeh Khorsand;Deepak Ramasubramanian;Parag Mitra;Jens C. Boemer

{"title":"Comparison of Positive-Sequence Analysis With EMT Analysis for Integrated Transmission and DER-Rich Distribution Systems","authors":"Giritharan Vijay Iswaran;Vijay Vittal;Mojdeh Khorsand;Deepak Ramasubramanian;Parag Mitra;Jens C. Boemer","doi":"10.1109/TPWRS.2026.3652811","DOIUrl":"10.1109/TPWRS.2026.3652811","url":null,"abstract":"With increased penetration of residential distributed energy resources, the need to analyze the sufficiency of positive-sequence analysis in emulating the electromagnetic transient (EMT) study results is vital for conducting grid planning studies. One of the approaches to evaluate the efficacy of positive-sequence simulations includes EMT analysis-based parameterization of positive-sequence models. Consequently, this work provides a detailed approach to parameterize the positive-sequence models with reference to results from utility benchmarked EMT data. With such benchmarked models incorporated in an integrated transmission-distribution system, fault studies are carried out to understand and examine the capabilities of positive-sequence simulations. The proposed study is carried out on a modified IEEE 9-Bus system developed in DIgSILENT PowerFactory. This paper finds that positive-sequence simulation cannot accurately capture the stalling of single-phase induction motors. Besides, this work recommends that the readers reparametrize the positive-sequence models for cases with fractional tripping of distributed energy resources and different fault characteristics to accurately coincide with the inferences of the EMT results.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2812-2825"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955423","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

Mid-Term Load Forecasting With Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models 基于最小数据的中期负荷预测：使用大型语言模型的上下文学习感知方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-15 DOI: 10.1109/TPWRS.2026.3654059

Yating Zhou;Shuai Zhang;Meng Wang

{"title":"Mid-Term Load Forecasting With Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models","authors":"Yating Zhou;Shuai Zhang;Meng Wang","doi":"10.1109/TPWRS.2026.3654059","DOIUrl":"10.1109/TPWRS.2026.3654059","url":null,"abstract":"Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require large amounts of historical data for training, which may be unavailable in practice. Existing solutions typically rely on transfer learning, which requires extensive data from source domains and task-specific fine-tuning. These approaches are unsuited for mid-term forecasting, where long-range historical data is often limited. To address these challenges, this paper proposes Load-Context, a novel mid-term load forecasting method that leverages the in-context learning (ICL) capability of pre-trained large language models (LLMs). Load-Context consists of a frozen LLM backbone and a lightweight, trainable ICL-aware adapter, enabling effective few-shot and zero-shot forecasting without the need for fine-tuning. We further design a prompt construction strategy that captures spatial correlations among buildings and periodic load patterns. Once pre-trained, the proposed method can generalize to a wide range of target tasks through prompt-based adaptation. Experiments on real-world datasets demonstrate that Load-Context achieves high forecasting accuracy with minimal data.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2866-2878"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972044","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

Bidirectional Synthetic Inertia of a High-Voltage Direct-Current Transmission System With Battery Energy Storage Support 基于电池储能的高压直流输电系统的双向综合惯性

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.2026.3655961

Héctor Levis;Miguel A. Torres;Claudio Burgos-Mellado;Diego Muñoz-Carpintero;Carlos R. Baier

{"title":"Bidirectional Synthetic Inertia of a High-Voltage Direct-Current Transmission System With Battery Energy Storage Support","authors":"Héctor Levis;Miguel A. Torres;Claudio Burgos-Mellado;Diego Muñoz-Carpintero;Carlos R. Baier","doi":"10.1109/TPWRS.2026.3655961","DOIUrl":"10.1109/TPWRS.2026.3655961","url":null,"abstract":"The proliferation of renewable energy sources and high-voltage direct-current (HVDC) transmission is creating low-inertia scenarios in power systems, compromising stability and causing severe frequency excursions and high rates of change of frequency (ROCOF) during disturbances. Existing HVDC control strategies offer limited inertia emulation through DC voltage variation and lack efficient coordination for simultaneous frequency support in the interconnected AC grids. We propose a coordinated control strategy deploying bidirectional synthetic inertia using the HVDC link's DC capacitors, complemented by battery energy storage systems (BESS). The inertia contribution in each AC grid is dynamically decomposed into a weighted sum of active power from the local BESS, local DC capacitors, and the remote AC grid. This approach respects BESS state of charge (SOC) constraints to extend lifespan and mitigates DC voltage oscillations by incorporating remote AC grid support when voltage or SOC limits are exceeded. The strategy was experimentally evaluated using the control hardware-in-the-loop methodology. The results demonstrate, in general, satisfactory performance in maintaining a stable voltage in the HVDC link while reducing frequency transients in both AC grids. The evaluation of the overall bidirectional performance indicates that the strategy achieves an average reduction in maximum frequency excursion of 29% and maximum ROCOF of 32.5%, compared to the base case without inertial support. The overall performance is confirmed to improve significantly as the BESS resource becomes more available, validating the advantages of the proposed coordination.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3045-3057"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001018","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

Dynamic Analysis of Centralized Energy Storage Systems—A Comparison Between Grid-Following and Grid-Forming Controls 集中式储能系统的动态分析——随网控制与成网控制的比较

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.2026.3660711

Qiang Fu;Siqi Bu;Yang Wang;Mingyu Yan

{"title":"Dynamic Analysis of Centralized Energy Storage Systems—A Comparison Between Grid-Following and Grid-Forming Controls","authors":"Qiang Fu;Siqi Bu;Yang Wang;Mingyu Yan","doi":"10.1109/TPWRS.2026.3660711","DOIUrl":"10.1109/TPWRS.2026.3660711","url":null,"abstract":"This study investigates the small-signal stability of centralized energy storage systems (CESSs) using grid-following (GFL) and grid-forming (GFM) controls, particularly focusing on bidirectional power flow and multiple energy storage systems (ESSs). To address the issue of complex dynamics in CESSs when comprehensive GFL and GFM control loops are considered, high-order dynamics are simplified using the virtual damping method by focusing on the dominant oscillation mode. Damping analysis verifies that CESSs using a single-type control (either GFL or GFM) have dynamic superimposition characteristics. Specifically, as ESS number increases, the damping of GFM-CESSs improves but that of GFL-CESSs decreases. The damping sensitivity shows that the damping of GFM-CESSs is more sensitive to bidirectional power flow and all control loops, whereas that of GFL-CESSs is more sensitive to <italic>d</i>-axis control loop. Consequently, GFM-CESSs are preferred for large-scale integration but are limited in scenarios with significant power reversal. If GFL and GFM controls are hybridized in CESSs, the ratio of GFM-CESSs should be constrained to avoid instability from modal resonance between GFL-CESSs and GFM-CESSs. This highlights that implementing GFM-CESSs necessitates considering scenario limitations rather than pursuing maximal integration under hybrid integration conditions. The conclusions are validated through modal analysis and time-domain simulations.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3058-3073"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110903","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

Tight MIP Formulations for Optimal Operation and Investment of Storage Including Reserves 包括储备在内的储库最优运行和投资的紧密MIP公式

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.2026.3669407

Maaike B. Elgersma;Germán Morales-España;Karen I. Aardal;Niina Helistö;Juha Kiviluoma;Mathijs M. de Weerdt

{"title":"Tight MIP Formulations for Optimal Operation and Investment of Storage Including Reserves","authors":"Maaike B. Elgersma;Germán Morales-España;Karen I. Aardal;Niina Helistö;Juha Kiviluoma;Mathijs M. de Weerdt","doi":"10.1109/TPWRS.2026.3669407","DOIUrl":"10.1109/TPWRS.2026.3669407","url":null,"abstract":"Fast and accurate large-scale energy system models are needed to investigate the potential of storage to complement the fluctuating energy production of renewable energy systems. However, standard Mixed-Integer Programming (MIP) models that describe optimal investment and operation of these storage units, including the optional capacity to provide up/down reserves, do not scale well. To improve scalability, the integrality constraints are often relaxed, resulting in Linear Programming (LP) relaxations that allow simultaneous charging and discharging, while this is not feasible in practice. To address this, we derive the convex hull of the solutions for the optimal operation of storage for one time period, as well as for problems including investments and reserves, guaranteeing that no tighter MIP formulation or better LP approximation exists for one time period. When incorporating this convex hull into a multi-period formulation and including it in large-scale energy system models, the improved LP relaxations can better prevent simultaneous charging and discharging, and the tighter MIP could positively affect the solving time. We demonstrate this with illustrative case studies of a unit commitment problem and a transmission expansion planning problem.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2428-2440"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11419843","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability Assessment of Power System Based on the Dichotomy Method 基于二分法的电力系统可靠性评估

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.2026.3670147

Wenjie Wan;Han Hu;Feiyu Chen;Xiaoyu Liu;Kequan Zhao

{"title":"Reliability Assessment of Power System Based on the Dichotomy Method","authors":"Wenjie Wan;Han Hu;Feiyu Chen;Xiaoyu Liu;Kequan Zhao","doi":"10.1109/TPWRS.2026.3670147","DOIUrl":"10.1109/TPWRS.2026.3670147","url":null,"abstract":"With a sustainable increase in the scale of power system, the number of states in the state space grows exponentially, and the reliability assessment of the power system faces enormous challenges. Traditional assessment methods, such as state enumeration (SE) and Monte Carlo simulation (MCS) methods, have encountered performance bottlenecks in terms of efficiency and accuracy. In this paper, the lattice theory of the state space was studied, and a dichotomy method was proposed to efficiently partition the state space into some disjoint sub-lattices with a small number of optimal power flow (OPF) operations. Based on dichotomy method, the reliability indices of the entire space can be calculated lattice-by-lattice. Alone with the partitioning procedure, the calculated loss of load probability (LOLP) monotonically increases and rapidly tends to the analytic value. Moreover, we designed a customized Monte Carlo sampling method in lattices of interest to compute expected energy not supply (EENS). The experiments are conducted on the RBTS and RTS-79 systems. The results show that the proposed method achieves the analytic LOLP of the RBTS system after 578 of OPF operations, which is 1,673 of times faster than traditional SE methods, and the designed Monte Carlo sampling method converged after 6,578 of OPF operations on test systems which is 268 of times faster than MCS methods. In the RTS system, the proposed method achieves higher computational efficiency while improving accuracy, with speed improvements of 153 and 14 times compared to SE and MCS, respectively.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2617-2629"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350317","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