IEEE Transactions on Sustainable Energy最新文献_第6页

Budget-Constrained Collaborative Renewable Energy Forecasting Market 预算有限的可再生能源合作预测市场

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-23 DOI: 10.1109/TSTE.2025.3532835

Carla Gonçalves;Ricardo J. Bessa;Tiago Teixeira;João Vinagre

{"title":"Budget-Constrained Collaborative Renewable Energy Forecasting Market","authors":"Carla Gonçalves;Ricardo J. Bessa;Tiago Teixeira;João Vinagre","doi":"10.1109/TSTE.2025.3532835","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3532835","url":null,"abstract":"Accurate power forecasting from renewable energy sources (RES) is crucial for integrating additional RES capacity into the power system and realizing sustainability goals. This work emphasizes the importance of integrating decentralized spatio-temporal data into forecasting models. However, decentralized data ownership presents a critical obstacle to the success of such spatio-temporal models, and incentive mechanisms to foster data-sharing need to be considered. The main contributions are a) a comparative analysis of the forecasting models, advocating for efficient and interpretable spline LASSO regression models, and b) a bidding mechanism within the data/analytics market to ensure fair compensation for data providers and enable both buyers and sellers to express their data price requirements. Furthermore, an incentive mechanism for time series forecasting is proposed, effectively incorporating price constraints and preventing redundant feature allocation. Results show significant accuracy improvements and potential monetary gains for data sellers. For wind power data, an average root mean squared error improvement of over 10% was achieved by comparing forecasts generated by the proposal with locally generated ones.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1440-1452"},"PeriodicalIF":8.6,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667493","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 Decentralized Demanded Power Tracking and Voltage Control Method for Wind Farms Based on Data-Driven Sensitivities 基于数据驱动灵敏度的风电场分散需求功率跟踪与电压控制方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-22 DOI: 10.1109/TSTE.2025.3530520

Chang Yan;Sheng Huang;Yinpeng Qu;Xueping Li;Wenbo Tang;Ying Yuan;Yongming Zhang

{"title":"A Decentralized Demanded Power Tracking and Voltage Control Method for Wind Farms Based on Data-Driven Sensitivities","authors":"Chang Yan;Sheng Huang;Yinpeng Qu;Xueping Li;Wenbo Tang;Ying Yuan;Yongming Zhang","doi":"10.1109/TSTE.2025.3530520","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3530520","url":null,"abstract":"Efficient power dispatch in wind farms (WFs) hinges on precise demanded power tracking. This study proposes a decentralized WF power tracking and voltage control method based on data-driven sensitivities (DDSs). This method relies only on local operational variables for model predictive control (MPC), achieving near-global optimal solutions. With a backpropagation algorithm, a new sensitivity calculation method is designed to yield DDSs by computing the gradients of a global mapping model (GMM). The voltage DDSs can be derived simply by calculating the gradient of the voltage GMM and can replace the voltage sensitivities in traditional MPC methods. The power DDSs establishes linear relationships between the power outputs of different wind turbines (WTs), simplifying the WF state-space equations to local prediction models for reducing the quadratic programming dimensions. The three control modes designed based on DDSs enable control without WF line parameters, reduce computational complexity, or combine both effects. The variable spacing constraint linearization method transforms nonlinear constraints into linear ones, addressing the nonlinear coupling between control variables. Testing on a WF with 32 WTs in MATLAB/Simulink demonstrates the effectiveness of the proposed method comparable to centralized control methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1749-1761"},"PeriodicalIF":8.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329502","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

Approximately Adaptive Distributionally Robust Optimization for Energy and Reserve Dispatch 能源储备调度的近似自适应分布鲁棒优化

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-22 DOI: 10.1109/TSTE.2025.3532753

Kaiping Qu;Yue Chen;Changhong Zhao

{"title":"Approximately Adaptive Distributionally Robust Optimization for Energy and Reserve Dispatch","authors":"Kaiping Qu;Yue Chen;Changhong Zhao","doi":"10.1109/TSTE.2025.3532753","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3532753","url":null,"abstract":"This paper proposes two novel paradigms of approximately adaptive distributionally robust optimization (AADRO) for the energy and reserve dispatch with wind uncertainty. The piecewise linear policy-based AADRO (PLP-AADRO) approximates the adaptive optimization-based recourse decision as piecewise affine adjustment, while the piecewise value function-based AADRO (PVF-AADRO) approximates the quadratic recourse problem as piecewise linear recourse problems. Moreover, an equal probability principle is developed to achieve a high-quality segmentation of the wind power ambiguity set. Consequently, the distributionally robust quadratic cost constraint can be decomposed into decoupled piecewise constraints, allowing the dispatch problem to be formulated as a less-iterative or even non-iterative program. The two-stage AADROs with polyhedron supported uncertainties are first recast precisely as tractable forms with semidefinite constraints, by employing duality theory and S-lemma. Then, the distributionally robust cost constraint in PVF-AADRO is handled by dual vertex generation, and the bilinear terms in both AADROs are addressed by alternating optimization. Numerical simulations verify the efficiency of AADROs in approximating the strict adaptive distributionally robust optimization, and their adaptability in different cases is discussed.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1762-1775"},"PeriodicalIF":8.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331729","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

Harmonics Current Sharing Strategy for Parallel Interfaced Multiple Solar PVs and BES Under Various Operating Conditions 不同工况下并联接口多个太阳能光伏与BES的谐波电流分担策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-20 DOI: 10.1109/TSTE.2025.3531767

Abhishek Abhinav Nanda;Vivek Narayanan;Bhim Singh

{"title":"Harmonics Current Sharing Strategy for Parallel Interfaced Multiple Solar PVs and BES Under Various Operating Conditions","authors":"Abhishek Abhinav Nanda;Vivek Narayanan;Bhim Singh","doi":"10.1109/TSTE.2025.3531767","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3531767","url":null,"abstract":"Oversizing voltage source converter (VSC) too much is a common consequence of conventional control methods used to maintain sinusoidal utility currents in a central battery energy storage (BES) and multiple solar photovoltaic (PV) arrays-based microgrids interfaced in parallel at the point of common coupling (PCC). It is done to meet harmonics demand of local loads, resulting in increased installation costs and reduced reliability of whole system. An intelligent harmonics current sharing (HCS) strategy is proposed in this work for distribution of reactive and harmonic demands of local loads based on operating modes. Multiple cascaded second-order generalized integrator-based frequency locked loop (CSOGI-FLL) is implemented to estimate dominant harmonic components of nonlinear load currents. Moreover, utility frequency estimated using CSOGI-FLL is utilized to regulate PCC parameters during synchronization of microgrid with utility while supporting HCS. System is simulated at various operating conditions in MATLAB/Simulink environment, and results are validated on a real-time OP5700-based test bench.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1414-1424"},"PeriodicalIF":8.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667386","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

Generalized Synchronous Stabilization Control for Large-Scale Offshore Wind Power Plants During Severe AC Faults 大型海上风电场交流严重故障时的广义同步稳定控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-20 DOI: 10.1109/TSTE.2025.3531854

Haihan Ye;Wu Chen

引用次数: 0

Novel Virtual Impedance Compensation Algorithm for Operation Stabilization of 3P4L3L PV-BES Microgrids With Constant Power Loads 恒负荷3P4L3L PV-BES微电网稳定运行的虚拟阻抗补偿算法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-20 DOI: 10.1109/TSTE.2025.3529987

Yi Zhu;Huiqing Wen;Yong Yang;Caifeng Wen;Jianliang Mao;Pan Wang;Yihua Hu;Cristian Garcia;Jose Rodriguez

{"title":"Novel Virtual Impedance Compensation Algorithm for Operation Stabilization of 3P4L3L PV-BES Microgrids With Constant Power Loads","authors":"Yi Zhu;Huiqing Wen;Yong Yang;Caifeng Wen;Jianliang Mao;Pan Wang;Yihua Hu;Cristian Garcia;Jose Rodriguez","doi":"10.1109/TSTE.2025.3529987","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3529987","url":null,"abstract":"A hybrid microgrid system that includes photovoltaic (PV) panels, battery energy storages (BESs), and constant power loads (CPLs) is presented in this article, where three-phase four-leg three-level (3P4L3L) is utilized as the main power interface. As the penetration of CPLs increases significantly, the operational stability of PV-BES Microgrids has become one of the most challenging issues. To tackle this issue, this paper proposes virtual impedance compensation methods to prevent the instability and oscillations caused by CPLs. First, the small-signal model of main power interfaces, especially 3P4L3L converters and CPLs, is built. Then, the stability of the cascaded system is investigated using the Nyquist criterion. Two compensation strategies are proposed based on the derived small-signal model, and the two methods are analyzed and compared in terms of the stability margin. Experiments are performed to prove the feasibility of the proposed strategy, and the results show that the virtual impedance compensation can prevent instability in 3P4L3L PV-BES Microgrids with high penetration of CPLs.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1401-1413"},"PeriodicalIF":8.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667384","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 Robust Energy Storage Planning Method for Grids With Wind Power Integration Considering the Impact of Hurricanes 考虑飓风影响的风电并网鲁棒储能规划新方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-17 DOI: 10.1109/TSTE.2025.3527448

Huaizhi Yang;Cong Zhang;Jiayong Li;Lipeng Zhu;Ke Zhou

{"title":"A Novel Robust Energy Storage Planning Method for Grids With Wind Power Integration Considering the Impact of Hurricanes","authors":"Huaizhi Yang;Cong Zhang;Jiayong Li;Lipeng Zhu;Ke Zhou","doi":"10.1109/TSTE.2025.3527448","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3527448","url":null,"abstract":"This paper proposes a novel energy storage system (ESS) planning method for improving ESS emergency capability during hurricanes, as well as enhancing the integration of renewable power generation under normal weather simultaneously. First, a novel robust ESS planning (NREP) model is proposed that considers the uncertainties of wind power and transmission line faults, along with their correlation during hurricanes, thereby reducing load shedding losses and wind curtailment. Secondly, to improve both the modeling accuracy of line fault uncertainties and the solution efficiency, a spatio-temporal uncertainty set related to hurricane intensity is constructed through information fusion. Furthermore, an improved column-and-constraint generation (ICCG) algorithm, incorporating nonanticipativity constraints, is proposed to solve the NREP model. The ICCG is able to interrelate scenarios and identify generation-dependent worst-case scenarios, thereby improving the feasibility of multi-period generation decisions under nonanticipative uncertainty realization while reducing losses from wind curtailment and load shedding across all scenarios. Simulation results, obtained by comparisons to previous models and algorithms, validate the effectiveness and superiority of the proposed method.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1388-1400"},"PeriodicalIF":8.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667387","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

Estimation of Stability Region for Grid-Forming Inverters Considering Switching Characteristics via Constructing Damping-Reflected Energy Functions 基于构造阻尼反射能量函数的考虑开关特性的并网逆变器稳定域估计

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-16 DOI: 10.1109/TSTE.2025.3530485

Cong Luo;Shuhan Liao;Yajun Liu;Yandong Chen

{"title":"Estimation of Stability Region for Grid-Forming Inverters Considering Switching Characteristics via Constructing Damping-Reflected Energy Functions","authors":"Cong Luo;Shuhan Liao;Yajun Liu;Yandong Chen","doi":"10.1109/TSTE.2025.3530485","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3530485","url":null,"abstract":"Grid-forming (GFM) inverters have been widely used as the interface between renewable energy sources and power grid. During low voltage ride through (LVRT) period, to limit the fault current, GFM inverters will experience the switching of control strategy, which makes the transient stability of GFM inverters exhibit different features from that of synchronous generators (SGs). In this paper, considering the switching characteristics induced by virtual impedance (VI), the framework of predicting the transient stability of GFM inverters during the fault period and after fault clearance is established from the perspective of energy. To reduce the conservativeness of the stability region, a uniform energy function considering the damping dissipation and the dynamics of reactive power control loop is constructed for the transient stability analysis of GFM inverters. Compared with existing approaches, the stability region estimated by the proposed energy function can intuitively show the effect of damping, and effectively reduce the degree of conservatism in transient stability prediction. Finally, simulation and hardware-in-loop experiments are performed to verify the effectiveness and accuracy of the proposed method in the transient stability prediction of GFM inverters with switching characteristics.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1737-1748"},"PeriodicalIF":8.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331740","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 Self-Supervised Pre-Learning Method for Low Wind Power Forecasting 低风量预测的自监督预学习方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-15 DOI: 10.1109/TSTE.2025.3529199

Weiye Song;Jie Yan;Shuang Han;Ning Zhang;Shihua Liu;Chang Ge;Yongqian Liu

{"title":"A Self-Supervised Pre-Learning Method for Low Wind Power Forecasting","authors":"Weiye Song;Jie Yan;Shuang Han;Ning Zhang;Shihua Liu;Chang Ge;Yongqian Liu","doi":"10.1109/TSTE.2025.3529199","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3529199","url":null,"abstract":"As wind power is becoming a major energy source of power systems, the risk of power shortages due to its intermittent low power output is growing. Accurate forecasting of low wind power is crucial for mitigating these impacts. However, conventional methods struggle with few-sample issues due to the infrequent occurrence of low wind power, limiting accuracy improvements. To address this, a self-supervised pre-learning method is proposed to forecast low wind power occurrence period and output, leveraging the similarities and differences among low output samples to enhance forecasting accuracy. Low wind power output is decomposed into low wind power events (LWPE), which represent the occurrence timeframe, and low wind power processes (LWPP), which represent the power sequences. For LWPE forecasting, a siamese residual shrinkage network based on contrastive learning is introduced. This network pre-learns LWPE features from sample pairs to mitigate the impact of imbalanced sample distribution. For LWPP forecasting, a pattern recognition-based embedded forecasting framework is proposed, embedding typical LWPP fluctuations into the prediction network to improve fit under limited sample conditions. A case study on 3 wind farm clusters shows that this method improves LWPP forecasting accuracy from 84.99%-86.6% to 89.97%, outperforming traditional methods without pre-learning.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1723-1736"},"PeriodicalIF":8.6,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329505","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 Scheduling and Commercial Testbed-Based Verification of Integrated PV-ESS Systems Considering Settlement Rules in South Korea 考虑韩国沉降规则的PV-ESS集成系统最优调度与商用试验台验证

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-15 DOI: 10.1109/TSTE.2025.3529693

Rae-Kyun Kim;Gyu-Sub Lee;Jae-Gyun Park;Hyoseop Lee;Seung-Il Moon;Jae-Won Chang

引用次数: 0