IEEE Transactions on Sustainable Energy最新文献_第3页

Online Monitoring of Battery Degradation for Enhanced Power Smoothing of PV Power Plants 增强光伏电站功率平滑的电池退化在线监测

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-03 DOI: 10.1109/TSTE.2025.3546996

Ammar Atif Abdalla;Mohamed Shawky El Moursi;Tarek H. M. El-Fouly;Khalifa Hassan Al Hosani

{"title":"Online Monitoring of Battery Degradation for Enhanced Power Smoothing of PV Power Plants","authors":"Ammar Atif Abdalla;Mohamed Shawky El Moursi;Tarek H. M. El-Fouly;Khalifa Hassan Al Hosani","doi":"10.1109/TSTE.2025.3546996","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546996","url":null,"abstract":"In pursuit of a carbon-neutral future, the integration of photovoltaic (PV) power plants into the electrical power grid is expanding. Although beneficial, this expansion presents challenges due to weather-induced variability, which destabilizes the grid and causes voltage and frequency deviations. A viable solution is the use of Battery Energy Storage Systems (BESS) alongside PV power plants. However, conventional controllers, which lead to uniform and frequent charging cycles, accelerate degradation and reduce efficiency in BESS. To address this, this paper proposes segmenting the BESS units into distinct charging and discharging groups, effectively minimizing battery cycling and enhancing their lifespan. The controller dynamically assigns batteries to each group based on power fluctuation forecasts using a power-sharing model. This model manages battery activation, enables inter-group support, and balances degradation by monitoring BESS charge levels and assessing battery health through an online system. This controller, coupled with a degradation balancing layer, strategically prioritizes units based on their cycling age. The proposed technique was rigorously tested and experimentally validated, demonstrating that it significantly reduces battery degradation to a maximum of 0.099%, in stark contrast to the up to 4.41% observed with conventional controllers.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2096-2113"},"PeriodicalIF":8.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331568","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

A Unified Strategy for Frequency Regulating and MPPT for Photovoltaic Sources Based on a Novel Three-Parameter Characteristic Curve 基于新型三参数特性曲线的光伏电源调频与最大功率同步策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-27 DOI: 10.1109/TSTE.2025.3546706

Yihao Zhu;Hongda Cai;Pengcheng Yang;Yongzhi Zhou;Yanghong Xia;Wei Wei

{"title":"A Unified Strategy for Frequency Regulating and MPPT for Photovoltaic Sources Based on a Novel Three-Parameter Characteristic Curve","authors":"Yihao Zhu;Hongda Cai;Pengcheng Yang;Yongzhi Zhou;Yanghong Xia;Wei Wei","doi":"10.1109/TSTE.2025.3546706","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546706","url":null,"abstract":"The large-scale integration of Photovoltaic (PV) sources may reduce system inertia and power quality, resulting in increased frequency fluctuations and diminished system stability due to lack of the primary frequency regulation (FR) capability. To address these challenges, this paper proposes a unified strategy for frequency regulating and Maximum Power Point Tracking (MPPT) for PV sources to provide ancillary services to the power grid. The strategy employs a specifically designed active power control (APC) method to enable rapid and flexible power adjustments of PV sources, with which further FR function may be achieved. The presented APC algorithm adopts an iterative technique with a novel three-parameter PV characteristic curve, making it possible to reconstruct the real-time PV generation model, clarify the relationship between the system frequency, output power, and operating voltage. Its high control accuracy, fast convergence rate, and strong explainability offer significant practical value. Additionally, this adaptive control strategy features autonomous switch between the FR and MPPT modes adapting to real-time irradiation changes, without the need for additional irradiation or temperature sensors. The integration enhances both solar utilization efficiency and the FR capability, while eliminating the controller transitions during operating mode switches. Hardware-in-the-loop tests validate the feasibility and effectiveness of the proposed strategy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2084-2095"},"PeriodicalIF":8.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331731","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

Decentralized Synthetic Inertia Control for Two-Area Power Systems With Wind Integration 风电一体化两区电力系统的分散综合惯性控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-27 DOI: 10.1109/TSTE.2025.3546203

Aldo Barrueto;Hector Chavez;Karina Barbosa

{"title":"Decentralized Synthetic Inertia Control for Two-Area Power Systems With Wind Integration","authors":"Aldo Barrueto;Hector Chavez;Karina Barbosa","doi":"10.1109/TSTE.2025.3546203","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546203","url":null,"abstract":"Modern power systems may experience decrease in stability due to the increased integration of variable generation sources that depend on power electronics converters. A common control strategy is to incorporate synthetic inertia from wind turbines, typically using state-feedback control in a single-area power system model that assumes uniform frequency. As power systems become more interconnected, different frequency behaviors can emerge in multiple areas, casting doubt on current methods that do not consider multi-area stability. Furthermore, most single-area synthetic inertia methods ignore the limitations of communication systems in real power systems. This paper proposes a decentralized synthetic inertia control strategy for a two-area power system with wind power. This approach accounts for the actual behavior of power systems in different areas and the limitations of communication systems in real scenarios. Numerical results, derived from dynamic models using actual operating data from the Chilean Power System, demonstrate that the decentralized control performs comparably to centralized control in maintaining power system stability and optimizing frequency nadir. However, the decentralized control has the advantage of relying solely on local variables, eliminating the need for communication links between areas during operation.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2073-2083"},"PeriodicalIF":8.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329506","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

Matrix Adaptive Correction-Based Dynamic Dimensionality Reduction Method for Voltage-Related TSCOPF in Bulk Power Systems With High Wind Power Penetration 基于矩阵自适应校正的大容量风电系统电压相关TSCOPF动态降维方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-25 DOI: 10.1109/TSTE.2025.3545467

Lin Xue;Tao Niu;Nan Feng;Sidun Fang;Yuyao Feng;Hung Dinh Nguyen;Guanhong Chen

{"title":"Matrix Adaptive Correction-Based Dynamic Dimensionality Reduction Method for Voltage-Related TSCOPF in Bulk Power Systems With High Wind Power Penetration","authors":"Lin Xue;Tao Niu;Nan Feng;Sidun Fang;Yuyao Feng;Hung Dinh Nguyen;Guanhong Chen","doi":"10.1109/TSTE.2025.3545467","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3545467","url":null,"abstract":"Transient security-constrained optimal power flow (TSCOPF) is an important class of problems for system operation. Several challenges arise when dealing with bulk power grids, including the large size and complex transient voltage behaviors. This paper aims to address such hurdles by proposing a dynamic dimensionality reduction matrix adaptive correction (DDR-MAC) algorithm, which can effectively evaluate proper Volt/Var levels to guarantee secure system operation. First, this paper performs dimensionality reduction processing at the bus and device levels to obtain a low-dimensional model with dominant modes, which solves the problems of high-order and large computational volumes of differential equations. Moreover, a dimensionality reduction error assessment model is established to ensure reduced-order accuracy. Then, the reduced-order TSCOPF model is equivalently decomposed into a mixed-integer linear optimization model and a combined coefficient correction model for system dynamic constraints and steady-state nonlinear constraints. Furthermore, a secant/tangent sensitivity adaptive correction method is presented to achieve fast computation. The DDR-MAC approach is verified across differently scaled IEEE test systems and the Nordic test system and can improve computational efficiency by 49.07% while offering higher accuracy than traditional computation methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2058-2072"},"PeriodicalIF":8.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331743","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

Torsional Vibration Analysis of Virtual-Synchronous-Controlled DFIG-Based Wind Turbines 虚拟同步控制dfig型风力发电机组扭振分析

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-25 DOI: 10.1109/TSTE.2025.3544247

Dong Wang;Yajun Guo;Yunhui Huang;Keliang Zhou;Shuo Wang

{"title":"Torsional Vibration Analysis of Virtual-Synchronous-Controlled DFIG-Based Wind Turbines","authors":"Dong Wang;Yajun Guo;Yunhui Huang;Keliang Zhou;Shuo Wang","doi":"10.1109/TSTE.2025.3544247","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3544247","url":null,"abstract":"The deployment of inertia control in wind turbines (WTs) is required by grid operators to support system frequency stability, while its addition also strengthens the dynamic coupling of WT's mechanical system with the electrical gird, potentially exacerbating torsional vibrations in drivetrains. Such side effect has been reported for the supplementary inertia control in the current grid-following (GFL) control frame, while for its alternative, i.e., the so-called virtual inertia control, this effect has rarely been concerned. To fill this gap, this article conducts a comprehensive study on the torsional stability for virtual-synchronous-controlled (VSynC) DFIG-based WTs. A reduced-order small-signal model considering different wind speed operating regions is firstly proposed. Then, how the paths of different controls, such as virtual inertia control, pitching control, etc., affecting the torsional mechanical/electrical torque are sorted out, and correlated loop shaping on torsional damping are investigated in detail. Through a comparative analysis with GFL scheme, we confirm that VSynC-DFIG suffers more sever torsional stability challenges due to its curtailed electrical damping contribution. Furthermore, we identify the operating conditions that are prone to instability and reveal the mechanisms by which critical control factors impact stability. Finally, hardware-in-the-loop simulations are conducted to validate the correctness of the analyses.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2044-2057"},"PeriodicalIF":8.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331569","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

Passive Method for Estimating Fundamental Frequency Grid Impedance: Including Model and Field Verification 基频网格阻抗的被动估计方法：包括模型和现场验证

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-25 DOI: 10.1109/TSTE.2025.3545342

Gabriel Miguel Gomes Guerreiro;Ranjan Sharma;Frank Martin;Nikolaus Goldenbaum;Guangya Yang

引用次数: 0

Aggregation Feasible Region of Full Power Spectrum Electric Vehicles Based on Polyhedron Projection 基于多面体投影的电动汽车全功率谱聚集可行域

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-24 DOI: 10.1109/TSTE.2025.3544640

Leidong Yuan;Qingguang Yu;Xin Yao;Min Guo

{"title":"Aggregation Feasible Region of Full Power Spectrum Electric Vehicles Based on Polyhedron Projection","authors":"Leidong Yuan;Qingguang Yu;Xin Yao;Min Guo","doi":"10.1109/TSTE.2025.3544640","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3544640","url":null,"abstract":"The aggregation of electric vehicles (EVs) can take full advantage of the power flexibility of EV clusters, based on the aggregation feasible region (AFR) of EVs. However, existing aggregation techniques of conventional distributed energy resources (DERs), exhibit significant inaccuracies or require excessive computational efforts when applied to EVs with high power and small capacity. To solve this problem, an iterative method based on the high dimensional polyhedron projection principle is proposed to derive the exact AFR formula for the full power spectrum of EVs, and the limitations of the existing analytical AFR are revealed. The results reveal that the exact AFR is a set of linear inequalities, whose coefficients can be represented in binary code, and the complexity of the right side is linear with the number of EVs, making it highly conducive to programming calculations. Moreover, this paper proposes a simplified practical AFR based on the exact AFR, which reduces computational complexity. Numerical simulation cases demonstrate that the accuracy of this simplified approach is still higher than that of existing methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2029-2043"},"PeriodicalIF":8.6,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10900425","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331738","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

Deterministic Forecasts and Prediction Intervals for Wind Speed Using Enhanced Multi-Quantile Loss Based Dilated Causal Convolutions 基于增强多分位数损失的扩展因果卷积的风速确定性预测和预测区间

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-18 DOI: 10.1109/TSTE.2025.3543420

Adnan Saeed;Chaoshun Li;Qiannan Zhu;Belal Ahmad

{"title":"Deterministic Forecasts and Prediction Intervals for Wind Speed Using Enhanced Multi-Quantile Loss Based Dilated Causal Convolutions","authors":"Adnan Saeed;Chaoshun Li;Qiannan Zhu;Belal Ahmad","doi":"10.1109/TSTE.2025.3543420","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3543420","url":null,"abstract":"With rising wind power penetration into power systems obtaining wind speed forecasts with associated uncertainty becomes crucial for better planning and dispatch. This study proposes an enhanced multi quantile regression-based loss function specially tailored to train models to generate both deterministic forecast and the corresponding prediction intervals. Though the regression architecture of the model plays an important role in extracting precise forecasts, however, its efficiency is often ignored which may be a downside for short term forecasting scenarios where model training time may also be a significant factor. The present study therefore designed a multi-scale dilated convolution-based architecture for enhanced efficiency. The architecture generates predictions at different scales which are combined using particle swarm optimization to obtain optimal forecasts. The model is trained using the proposed loss function on datasets from both NREL simulations and operational Chinese state grid measurements across three different locations. The proposed model exhibits excellent forecasting performance in comparative experiments with both simulated and real-world operational datasets.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2002-2014"},"PeriodicalIF":8.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331556","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

Optimal Power Control in Wind Farms for Gearbox Load Reduction 风电场齿轮箱减载的最优功率控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-18 DOI: 10.1109/TSTE.2025.3543186

Juan Wei;Yuxiang Li;Hanzhi Peng;Sheng Huang;Yu Yang;Shuaifeng Wang;Xueting Cheng;Xiaohui Huang

{"title":"Optimal Power Control in Wind Farms for Gearbox Load Reduction","authors":"Juan Wei;Yuxiang Li;Hanzhi Peng;Sheng Huang;Yu Yang;Shuaifeng Wang;Xueting Cheng;Xiaohui Huang","doi":"10.1109/TSTE.2025.3543186","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3543186","url":null,"abstract":"Rapid power and torque fluctuations in time-varying conditions increase the fatigue load and failure rate of wind turbine (WT) gearboxes. In this study, an optimal power control method is proposed for a wind farm (WF) to improve the power flow and service quality, allowing the WF to track the power demand instructions from the transmission system operator while minimizing the fluctuations of vibration displacements inside the gearbox. A comprehensive dynamic model of the gearbox is developed by analyzing the transmission mechanism of key gearbox components, such as the planet carrier, planet gears, sun gears, and spur gears, describing the correlation between the internal vibration and mechanical torque and power output. Then, an optimal power control problem is formulated based on model predictive control to suppress the fatigue load while tracking power. Furthermore, a fatigue evaluation system is built based on the real-time vibration state inside the gearbox to characterize the service quality of WTs and guide the power generation of the WF. This approach provides a safety-oriented boundary regarding the WT fatigue load in the optimal power dispatch issue of WFs to suppress potential WT failures. Case studies in MATLAB/Simulink demonstrated the effectiveness of the proposed method.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1990-2001"},"PeriodicalIF":8.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331567","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

Stability Region Estimation and Decentralized Transient Control for Parallel Grid-Tied Grid-Forming Inverters 并网并网逆变器稳定域估计与分散暂态控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-18 DOI: 10.1109/TSTE.2025.3543595

Cong Luo;Yandong Chen;Shuhan Liao;Zhiwei Xie;Zhijie Lian;Zili Wang;Xiaoke Liu;Mingkun Gao;Jiawei Xie

{"title":"Stability Region Estimation and Decentralized Transient Control for Parallel Grid-Tied Grid-Forming Inverters","authors":"Cong Luo;Yandong Chen;Shuhan Liao;Zhiwei Xie;Zhijie Lian;Zili Wang;Xiaoke Liu;Mingkun Gao;Jiawei Xie","doi":"10.1109/TSTE.2025.3543595","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3543595","url":null,"abstract":"Renewable energyes are highly penetrated in power system through Grid-forming inverter (GFMI). Transient stability of single GFMI system under severe grid fault has been thoroughly analyzed in recent years, but quantitative analysis for parallel grid-tied GFMI system is rarely studied. To fill this gap, the large signal equivalent model of parallel system considering the interaction between inverters is newly built. Based on the model, the Lyapunov function incorporating kinetic energy, potential energy, damping dissipation, and interaction energy is constructed for accurate stability region estimation. Then, the effect of control parameters on stability region is analyzed, indicating that increasing damping, reducing inertia, and lowering reference power of one GFMI can deteriorate stability margin of parallel GFMI system due to the enlarged interaction power, which is distinct from single GFMI system. For this, a decentralized transient control that adaptively adjusts damping, inertia, and reference power is proposed to guarantee transient stability and achieve low-voltage ride-through (LVRT) for parallel system without relying on communication, system information. Finally, simulation and experimental tests validate the correctness of theoretical analysis and the effectiveness of proposed control.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2015-2028"},"PeriodicalIF":8.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331555","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