IEEE Transactions on Sustainable Energy最新文献

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IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-06-22 DOI: 10.1109/TSTE.2026.3699285
{"title":"IEEE Industry Applications Society Information","authors":"","doi":"10.1109/TSTE.2026.3699285","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3699285","url":null,"abstract":"","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"C3-C3"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11574805","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443309","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
Decentralized Coordination for Offshore Power Systems and UAV-Empowered Coastal Logistics Networks 海上电力系统与无人机沿海物流网络的分散协调
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-21 DOI: 10.1109/TSTE.2026.3656461
Yangfan Luo;Ang Xuan;Yunfei Du;Xinwei Shen
{"title":"Decentralized Coordination for Offshore Power Systems and UAV-Empowered Coastal Logistics Networks","authors":"Yangfan Luo;Ang Xuan;Yunfei Du;Xinwei Shen","doi":"10.1109/TSTE.2026.3656461","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3656461","url":null,"abstract":"The burgeoning electric-driven uncrewed aerial vehicle (UAV) technology is reshaping traditional coastal logistics dominated by cargo vessels (CVs). This revolution is catalyzing deep integration between coastal logistics networks (CLNs) and offshore power systems (OPSs) with rich marine renewable energy (MRE), ultimately evolving into sophisticated offshore power-logistics systems (OPLSs). Against such backdrop, this paper proposed a decentralized coordination framework for OPSs and UAV-empowered CLN to step towards a low-carbon and cost-saving OPLS. Firstly, a composite UAV-CV joint delivery model is developed to preciously capture energy- and logistics service-related characteristics of the CLN. Subsequently, by incorporating impacts of marine meteorological uncertainties (e.g., winds, waves and currents) on MRE generation and coastal logistics, a coordinative dispatching model for OPSs and the CLN is formulated to minimize total operational costs while complying with preset carbon emission caps. Finally, a decentralized solution procedure based on two-phase projection is designed for solving the coordination model to ensure decision independence and privacy security of OPSs and the CLN. Numerical studies confirm the effectiveness of proposed approach in MRE utilization, cost-efficiency, and decarbonization capabilities for the OPLS.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2633-2647"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148515374","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
Model Order Reduction of DFWTs Based Wind Power System With Inhomogeneous Initial Condition 非均匀初始条件下基于DFWTs的风电系统模型阶数降阶
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-12 DOI: 10.1109/TSTE.2026.3652654
Xiaohan Yu;Rui Wang;Qiuye Sun;Peng Wang
{"title":"Model Order Reduction of DFWTs Based Wind Power System With Inhomogeneous Initial Condition","authors":"Xiaohan Yu;Rui Wang;Qiuye Sun;Peng Wang","doi":"10.1109/TSTE.2026.3652654","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3652654","url":null,"abstract":"Although model order reduction based on balanced truncation (BT) has excellent performance in preserving accurate output of doubly-fed wind turbine based wind power system (DFWT-WPS), these applications are usually based on zero-initial condition. However, due to the inhomogeneous initial condition caused by soft-starting operation, the direct application of BT will lead to large response deviation. Therefore, this paper presents a method to construct the reduced order model of DFWT-WPS considering inhomogeneous initial condition, while reserving advantages of BT. Firstly, the system output is decomposed into two independent system outputs according to Duhamel principle. The first system contains zero-initial condition with input (standard BT model, SBTM) and the second system contains inhomogeneous initial condition without input. Secondly, the second system is converted into an equivalent one with dirac delta function as the input and zeroinitial condition (SBTM). Then, the two SBTMs are applied BT and the outputs are superimposed to get the reduced order response of the DFWT-WPS. One step further, the accurate upper bound of the error between the reduced order system and the original one is derived. Finally, the paper takes 20 /60 /120 DFWTs in parallel under different wind speed conditions as examples to verify the effectiveness of the proposed method with inhomogeneous initial condition.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2501-2513"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148515609","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
Model-Reference Adaptive Damping: Enhancing the Resilience of Grid-Forming Inverters Under Uncertain Grid Conditions 模型参考自适应阻尼:增强不确定电网条件下并网逆变器的弹性
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-15 DOI: 10.1109/TSTE.2026.3654431
Ali Hosseinipour;Zhongtian Zhang;Javad Khazaei
{"title":"Model-Reference Adaptive Damping: Enhancing the Resilience of Grid-Forming Inverters Under Uncertain Grid Conditions","authors":"Ali Hosseinipour;Zhongtian Zhang;Javad Khazaei","doi":"10.1109/TSTE.2026.3654431","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3654431","url":null,"abstract":"Uncertainties can present significant challenges for the resilient operation of grid-forming (GFM) inverters, particularly affecting virtual synchronous generators (VSGs) due to their inherent oscillatory behavior and vulnerability to grid contingencies and variations in grid strength. This study introduces a resilient damping method, termed model-reference adaptive damping (MRAD), designed for VSGs to effectively address these grid uncertainties. The approach dynamically shapes the VSG response by utilizing a reference model that represents the desired dynamic behavior. The influence of grid impedance on the VSG's dynamic response is examined through eigenvalue analysis, and the adaptive law for the proposed MRAD is formulated based on Lyapunov stability theory. In addition, a robust modification of the MRAD is introduced to enhance its performance under conditions of high adaptation rates. Frequency-domain analysis is performed to further validate the dynamic shaping of the VSG response across varying grid strengths. Finally, simulation results and real-time experiments confirm the effectiveness of the proposed method in dynamically shaping the VSG response under uncertain grid conditions and diverse disturbances.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2558-2570"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148515610","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
Secure Operation of a Multi-Energy Microgrid via Coordinated Preventive and Corrective Control Under Diverse Uncertainties 多不确定因素下多能微电网安全运行的协同预防与纠偏控制
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-29 DOI: 10.1109/TSTE.2026.3659119
Yan Cao;Yan Xu
{"title":"Secure Operation of a Multi-Energy Microgrid via Coordinated Preventive and Corrective Control Under Diverse Uncertainties","authors":"Yan Cao;Yan Xu","doi":"10.1109/TSTE.2026.3659119","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3659119","url":null,"abstract":"The operation of multi-energy microgrid (MEMG) is threatened by random failures and uncertainties in renewable energy sources (RESs) and loads. This paper proposes a systematic approach for secure operation of MEMG by coordinating preventive control (PC) and corrective control (CC) under diverse uncertainties. First, a day-ahead three-stage stochastic PC-CC coordinated optimization model is proposed to determine day-ahead PC measures while considering CC to address potential contingencies. Then, as uncertainties gradually unfold, an intra-day rolling PC-CC coordinated optimization model is developed to iteratively obtain intra-day PC measures accounting for potential near-term contingencies. When a contingency really occurs, the CC optimization is activated to determine CC measures. Furthermore, a contingency probability model that considers weather conditions and component aging is established. Contingency impact is quantified and embedded in optimization models. Third, a two-step sampling method is proposed for scenario generation, capturing uncertainties and temporal correlation of RESs, loads and failures. A scenario-based decomposition method employing the progressive hedging (PH) algorithm is developed to solve the day-ahead model. Simulation results demonstrate that the proposed approach reduces security control costs by 34.92%-45.90% over methods limited to PC or CC alone and improves computation efficiency by 2.20 times.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2773-2788"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148516531","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
ANTDCC: A Lightweight and Generalizable Framework for Long-Term Photovoltaic Power Forecasting via Adaptive Normalization and Dynamic Channel Clustering ANTDCC:基于自适应归一化和动态信道聚类的轻型可推广光伏长期电力预测框架
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-02-04 DOI: 10.1109/TSTE.2026.3661013
Quanwei Tan;Jiebei Zhu;Lujie Yu;Qian Xiao;Hongjie Jia;Vladimir Terzija
{"title":"ANTDCC: A Lightweight and Generalizable Framework for Long-Term Photovoltaic Power Forecasting via Adaptive Normalization and Dynamic Channel Clustering","authors":"Quanwei Tan;Jiebei Zhu;Lujie Yu;Qian Xiao;Hongjie Jia;Vladimir Terzija","doi":"10.1109/TSTE.2026.3661013","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3661013","url":null,"abstract":"The intermittency and uncertainty of photovoltaic (PV) power generation have posed significant challenges to grid stability and efficient integration of renewable energy, especially in long-term forecasting tasks where accurately modeling multi-channel temporal dependencies and adapting to dynamic distribution shifts have become critical issues. To address the limitations of existing methods in channel modeling strategies and normalization mechanisms, this paper has proposed an efficient PV power forecasting framework—ANTDCC—that integrates adaptive normalization, dynamic channel clustering, and TSMixer. First, an Attention-alike Structural Re-parameterization Dynamic tanh (ASRDyT) has been introduced to enhance the model adaptability to temporal distribution changes. Second, TSMixer has been employed as the backbone network, leveraging its linear computational complexity and efficient time-feature mixing capability to effectively capture global temporal dependencies while balancing accuracy and efficiency. Third, a Dynamic Channel Clustering Mechanism (DCCM) has been designed to excavate inter-channel synergies, improving model interpretability and parameter utilization. Finally, systematic evaluations on PV datasets from Australia and China have demonstrated that the proposed method has significantly outperformed baseline models across four forecasting horizons, exhibiting superior generalization ability, thereby providing effective support for intelligent PV plant scheduling and optimized power system operation.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2882-2897"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148516589","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
Voltage Regulation Enhanced Volt/VAR Control With Discretization-Timescale-Dependent Stability Condition in Active Distribution Networks 有功配电网离散化时标稳定条件下电压调节增强电压/无功控制
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-22 DOI: 10.1109/TSTE.2025.3646684
Qilin Hou;Qifan Yang;Xin Jin;Ningyi Dai
{"title":"Voltage Regulation Enhanced Volt/VAR Control With Discretization-Timescale-Dependent Stability Condition in Active Distribution Networks","authors":"Qilin Hou;Qifan Yang;Xin Jin;Ningyi Dai","doi":"10.1109/TSTE.2025.3646684","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3646684","url":null,"abstract":"The increasing penetration of distributed energy resources (DERs) introduces significant voltage fluctuations in distribution networks. While their inverter-based nature offers Volt/VAR control capabilities to mitigate these issues, existing frameworks typically model and operate local control at second-level timescales, overlooking millisecond-level power electronics settling dynamics. This oversight restricts the tuning of control parameters: conservative droop gains lead to limited performance, while aggressive parameters may induce instability. To address this challenge, this paper proposes a Discretization-Timescale-Dependent Volt/VAR Control (DTD-VVC) framework that explicitly incorporates inverter dynamics in local control rule design. We first derive a stability condition for the Volt/VAR controller, demonstrating that a millisecond-level discretization timescale can potentially enhance stability. These insights reveal that steeper gains can be safely accommodated under a millisecond-level discretization timescale, thereby improving voltage regulation performance while guaranteeing stability. By embedding this stability condition as a constraint, we formulate a convex optimization framework to design millisecond-level local control rules that jointly minimize power loss and voltage deviations under uncertainties. Extensive validation on an RTDS–Python co-simulation platform demonstrates that the proposed millisecond-level DTD-VVC scheme substantially outperforms in both voltage regulation performance and stability.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2319-2332"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148517184","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
Topology Informed Transformer for Cyber Attack Detection in Grid-Connected PV Systems 并网光伏系统网络攻击检测的拓扑信息变压器
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-30 DOI: 10.1109/TSTE.2025.3649415
Damilola R. Olojede;Md Joshem Uddin;Roshni Anna Jacob;Baris Coskunuzer;Jie Zhang
{"title":"Topology Informed Transformer for Cyber Attack Detection in Grid-Connected PV Systems","authors":"Damilola R. Olojede;Md Joshem Uddin;Roshni Anna Jacob;Baris Coskunuzer;Jie Zhang","doi":"10.1109/TSTE.2025.3649415","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3649415","url":null,"abstract":"The increasing penetration of photovoltaic (PV) systems into the distribution network also introduces cybersecurity risks, particularly through behind-the-meter PV inverters. This paper presents a novel topological machine learning framework for detecting cyber attacks that target grid-connected PV systems. In such attacks, adversaries manipulate the PV inverter settings and inject false data at the point of common coupling (PCC) to mislead the distribution system operator (DSO) about actual PV power injection. To address this challenge, we leverage multiparameter persistent homology, a tool in topological data analysis (TDA), to extract evolving topological signatures from dynamic graphs constructed from system-wide voltage and power flow measurements. The topological features are fed into a Transformer to detect and localize compromised PV units. The proposed model is evaluated on the IEEE 34-bus, 123-bus, and 8500-bus networks under varying levels of observability and PV penetrations. Experimental results show that our approach consistently outperforms state-of-the-art baselines across multiple attack scenarios, demonstrating superior accuracy, robustness, and scalability. This work advances intelligent, real-time cyber attack detection and localization, contributing to enhanced grid security and operational resilience.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2365-2377"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148517187","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
Uniformity Analysis of Frequency Regulation for Grid-Following and Grid-Forming Wind Turbines and Distributed Cooperative Frequency Control for Hybrid Wind Farms 随网成网风电机组频率调节均匀性分析及混合风电场分布式协同频率控制
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-12 DOI: 10.1109/TSTE.2026.3651604
Hongyu Zhou;Yongxin Xiong;Wei Yao;Cheng Wang;Gen Li;Tianshu Bi
{"title":"Uniformity Analysis of Frequency Regulation for Grid-Following and Grid-Forming Wind Turbines and Distributed Cooperative Frequency Control for Hybrid Wind Farms","authors":"Hongyu Zhou;Yongxin Xiong;Wei Yao;Cheng Wang;Gen Li;Tianshu Bi","doi":"10.1109/TSTE.2026.3651604","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3651604","url":null,"abstract":"Large numbers of grid-connected wind farms challenge frequency stability. Hybrid wind farms (HWFs) with both grid-following (GFL) and grid-forming (GFM) wind turbines (WTs) are better adapted to wide-ranging changes in grid state. However, the frequency support capability of each wind turbine in an HWF depends on factors like wind speed and control type. Current controls do not fully exploit the grid frequency support potential of each WT in different states. Hence, this paper first analyzes the frequency regulation characteristics of GFL WTs and virtual synchronous generator (VSG)-based GFM WTs, revealing the uniformity between them. Furthermore, a distributed cooperative frequency control (DCFC) for HWFs is proposed to improve grid frequency stability. DCFC uses a leaderless consistency algorithm to allocate the output active power of each wind turbine according to the state of the different WTs. Additionally, the adaptive optimisation feature of DCFC adjusts the frequency support coefficients of the wind turbines in real time as their rotor kinetic energy varies, improving the safety of the WTs. Finally, the GFL and GFM frequency regulation uniformity theory and the DCFC are comprehensively verified. The results show that DCFC improves the security of the WTs and enhances the frequency support capability compared to centralised control.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2433-2445"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148518388","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 Novel Decoupled LVRT Control Strategy for Post-Fault Voltage Recovery Enhancement of IBRs Considering Voltage-Angle Coupling 一种考虑电压角耦合的ibr故障后电压恢复增强解耦LVRT控制策略
IF 10.3 1区 工程技术
IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-15 DOI: 10.1109/TSTE.2025.3644159
Fangyuan Sun;Ruisheng Diao;Ruiyuan Zeng;Jing Zhang;Jianguo Qian
{"title":"A Novel Decoupled LVRT Control Strategy for Post-Fault Voltage Recovery Enhancement of IBRs Considering Voltage-Angle Coupling","authors":"Fangyuan Sun;Ruisheng Diao;Ruiyuan Zeng;Jing Zhang;Jianguo Qian","doi":"10.1109/TSTE.2025.3644159","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3644159","url":null,"abstract":"To leverage the voltage support capability of grid following (GFL) inverter-based resources (IBRs), the low voltage ride through (LVRT) control typically maintains a positive correlation between reactive power injection and the magnitude of voltage sags. The reactive power adjustment is commonly achieved by regulating the q-axis current. However, this control strategy is valid only when the phase of the phase-locked loop (PLL) is aligned to the PCC voltage phase. Under large disturbances such as short-circuit faults, the PLL phase cannot properly track the PCC voltage phase. This invalidates the proportional relationship between the q-axis current and reactive power injection, further influencing the post-fault voltage recovery. Both voltage collapse and overvoltage issues in IBR-dominated systems may be exacerbated. This problem, i.e., voltage-angle coupling, has been widely recognized, but its specific impact on voltage recovery under varying scenarios remains unclear. To address this issue, the specific influence of PLL angular dynamics on active and reactive power injection is first analyzed under LVRT control. In addition, by combining the LVRT and PLL dynamics, the mechanisms of three voltage recovery tendencies caused by voltage angle coupling are revealed: overvoltage, low voltage, and DC-side overvoltage. The specific scenarios in which these voltage problems occur are also obtained by the voltage-vector-triangle graphic. Furthermore, a decoupled LVRT control is proposed to eliminate the influence of voltage angle coupling. Finally, the mechanism analysis and effectiveness of the decoupled LVRT are verified in the case study.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2120-2132"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148518390","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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