IEEE Transactions on Sustainable Energy最新文献_第8页

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

Secondary Frequency Regulation From Aggregated Distributed Photovoltaics: A Dynamic Flexibility Aggregation Approach 聚合分布式光伏的二次频率调节：一种动态柔性聚合方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-14 DOI: 10.1109/TSTE.2025.3529512

Songyan Zhang;Peixuan Wu;Chao Lu;Huanhuan Yang;Tuo Jiang

{"title":"Secondary Frequency Regulation From Aggregated Distributed Photovoltaics: A Dynamic Flexibility Aggregation Approach","authors":"Songyan Zhang;Peixuan Wu;Chao Lu;Huanhuan Yang;Tuo Jiang","doi":"10.1109/TSTE.2025.3529512","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3529512","url":null,"abstract":"To fully utilize the potential of massive small-scale distributed photovoltaics (DPVs) for secondary frequency regulation (SFR), this article introduces a hierarchical coordination framework that incorporates the dynamic response characteristic (DRC) of DPV to automatic generation control (AGC) signals, thereby reflecting the dynamic flexibility of the aggregated DPVs (ADPVs). First, a reserved power feasible range is derived for scheduling the power reserve control (PRC) scheme considering the uncertainty in PV generation and the de-loaded margin base constraint. Second, a two-stage multi-cluster DRC aggregation method that considers the impact of the PRC scheme is developed to describe the equivalent DRC of the ADPVs. Last, the article constructs an integrated cost function (ICF) that reveals the interdependencies between SFR capacity, equivalent DRC and regulation cost, which enables the decoupled scheduling of the SFR indices and the PRC scheme. An event-triggered duty factor reassignment mechanism is further proposed to improve the reliability of SFR service deployment in case of unexpected events. Simulation results indicate that the framework is an efficient approach for quantifying, trading and realizing the dynamic flexibility of the ADPVs.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1356-1371"},"PeriodicalIF":8.6,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667183","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

Frequency Constrained Dispatch With Energy Reserve and Virtual Inertia From Wind Turbines 利用风力涡轮机的能量储备和虚拟惯性进行频率受限调度

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-14 DOI: 10.1109/TSTE.2025.3528948

Boyou Jiang;Chuangxin Guo;Zhe Chen

{"title":"Frequency Constrained Dispatch With Energy Reserve and Virtual Inertia From Wind Turbines","authors":"Boyou Jiang;Chuangxin Guo;Zhe Chen","doi":"10.1109/TSTE.2025.3528948","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3528948","url":null,"abstract":"With the increasing penetration of wind power and gradual retirement of conventional generating units (CGUs), wind turbines (WTs) become promising resources to provide steady-state energy reserve (ER) and frequency support for the grid to facilitate supply-demand balance and frequency security. In this regard, a novel frequency constrained dispatch framework with ER and virtual inertia from WTs is proposed. Firstly, this paper establishes the WT model with both ER and virtual inertia, whose energy sources are WT's deloading and rotor kinetic energy, respectively. Secondly, the system frequency response and CGUs' power response are derived while considering WTs exiting inertia response at frequency nadir. Then, this paper develops a stochastic-optimization-based frequency constrained dispatch model, where both WTs' frequency regulation parameters and rotor speeds are decision variables, so that the coupling between WT's mechanical and electrical parts and the coupling between system's transient dynamics and steady-state operation can be fully reflected. Finally, convex hull relaxation, convex hull approximation and deep neural networks are used to transform the original nonlinear model into a mixed-integer second-order cone programming model. Case studies on the 118-bus system verify the effectiveness of the proposed models and methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1340-1355"},"PeriodicalIF":8.6,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667238","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

Low Carbon Economic Energy Management Method in a Microgrid Based on Enhanced D3QN Algorithm With Mixed Penalty Function 基于混合罚函数增强D3QN算法的微电网低碳经济能源管理方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-13 DOI: 10.1109/TSTE.2025.3528952

Chanjuan Zhao;Yunlong Li;Qian Zhang;Lina Ren

引用次数: 0

Stochastic-Robust Optimal Power Flow With Small-Signal Stability Guarantee Under Renewable Uncertainties 可再生不确定性下具有小信号稳定保障的随机鲁棒最优潮流

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-01-13 DOI: 10.1109/TSTE.2025.3529254

Jianshu Yu;Pei Yong;Zhifang Yang;Juan Yu

{"title":"Stochastic-Robust Optimal Power Flow With Small-Signal Stability Guarantee Under Renewable Uncertainties","authors":"Jianshu Yu;Pei Yong;Zhifang Yang;Juan Yu","doi":"10.1109/TSTE.2025.3529254","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3529254","url":null,"abstract":"The diversification of power system operation modes raises the necessity of incorporating dynamic characteristics into steady-state operation. Small-signal stability is a representative issue. Though, existing frameworks either ignore the uncertainties of renewables, or only focus on the worst case. In this regard, this paper establishes a small-signal stability constrained stochastic-robust optimal power flow (OPF) model, which aims to optimize the expected cost of scheduling results with respect to the probability distributions of uncertainties while ensuring the small-signal stability requirement even in extreme scenarios. However, the synergy of uncertainties and the complicated small-signal stability mechanism significantly increase the solving difficulty. This paper proposes a comprehensive framework to overcome this challenge. First, we solve the stochastic OPF without small-signal stability constraints. For those results that do not meet the stability requirements, we use them as initial points to locate the effective boundary of the OPF feasible region where the robust small-signal stability requirement is satisfied. The effective boundary location is realized in an iterative manner. Then, in the neighborhood of this effective boundary, we construct a linear surrogate expression to represent the original robust small-signal stability constraint with Markov-chain Monte Carlo (MCMC) sampling and sample weighted support vector machine (swSVM). Finally, we solve the OPF model with the surrogate constraint. Moreover, we further propose a constraint correction strategy to guarantee the stability requirement. Case studies verify that the proposed method can acquire economical operation schemes and meet the robust small-signal stability requirement at the same time.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1711-1722"},"PeriodicalIF":8.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331558","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