IEEE Transactions on Sustainable Energy最新文献_第4页

A Heterogeneous Graph Spatiotemporal Model for Distributed PV Cluster Forecasting Under Adaptive Partition Collaborative Framework 自适应分区协同框架下分布式光伏集群预测的异质图时空模型

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1109/TSTE.2026.3657437

Nian Liu;Qi Gao;Jiaqi Shi;Shuqing Hao;Qiqi Guo

{"title":"A Heterogeneous Graph Spatiotemporal Model for Distributed PV Cluster Forecasting Under Adaptive Partition Collaborative Framework","authors":"Nian Liu;Qi Gao;Jiaqi Shi;Shuqing Hao;Qiqi Guo","doi":"10.1109/TSTE.2026.3657437","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3657437","url":null,"abstract":"As the penetration rate of distributed photovoltaics (PV) continues to rise, accurate forecasting of distributed PV clusters becomes critical for ensuring the economic operation of power systems. However, the grid interconnection of numerous distributed PV stations imposes exponential computational resource demands. To address these challenges, we propose a short-term cluster forecasting model for distributed PV based on heterogeneous spatiotemporal learning under adaptive partition collaborative framework. The spatial model constructs multi-dimensional heterogeneous subgraphs integrating geographical locations, meteorological correlations, and historical PV power data to capture complex spatial dependencies among distributed PV stations. The adaptive partition framework dynamically divides PV clusters and trains sub-models by a weighted clustering algorithm to maintain accuracy and efficiency. Moreover, the inference module of proposed model can be implemented on Raspberry Pi-based edge device to simulate real user-side operating environments. Case studies demonstrate that the proposed heterogeneous graph spatiotemporal model under adaptive partition collaborative framework achieves 4% higher forecasting accuracy, 30% faster training, and 25% lower inference latency compared to centralized baselines. The adaptive partition collaborative framework outperforms the completed centralized one in both computational efficiency and forecasting accuracy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2693-2705"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519248","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 Analysis for HVDC-Connected Offshore Wind Farm Participating in Grid Frequency Support 参与电网频率支持的直流并网海上风电场稳定区域分析

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-26 DOI: 10.1109/TSTE.2026.3651092

Zhihao Zhang;Yuanhang Zhang;Peng Kou

{"title":"Stability Region Analysis for HVDC-Connected Offshore Wind Farm Participating in Grid Frequency Support","authors":"Zhihao Zhang;Yuanhang Zhang;Peng Kou","doi":"10.1109/TSTE.2026.3651092","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3651092","url":null,"abstract":"When the high-voltage direct current-connected offshore wind farm (HVDC-connected OWF) participates in grid frequency support, excessively high frequency controller gains may exacerbate the electromagnetic oscillations within system. Therefore, it is essential to study the stability region for frequency controller gains of HVDC-connected OWF, thus ensuring the grid secure operation during frequency events. Currently, numerical methods are used to analyze the operational stability region of HVDC-connected OWF. However, these methods involve exhaustive calculations to obtain the stability region, resulting in a significant computational burden. To address the issue, this work proposes an analytical stability region identification method for HVDC-connected OWF when it participates in the grid frequency support. Specifically, a comprehensive small signal model, tailored for analyzing frequency support-induced oscillation, is first developed by considering both the frequency regulation characteristics and the power converter dynamics. Further, using the Padé approximation technique, the reduced order equivalent model is derived while preserving its accuracy. With this equivalent model, the mechanism underlying frequency support-induced oscillation is qualitatively elucidated, and the stability region for frequency support is also analytically derived. Finally, the analysis results are validated through electromagnetic transient simulations.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2706-2729"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519249","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 Response Model and Inertia Enhancement Method of Islanded Microgrid Integrated With Free Piston Stirling Generator 与自由活塞斯特林发电机集成的孤岛微电网频响模型及惯性增强方法

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-02-11 DOI: 10.1109/TSTE.2026.3663906

Juhui Yang;Wen Huang;Yu Feng;Zhangtao Jin;Zhikang Shuai;Z. John Shen

{"title":"Frequency Response Model and Inertia Enhancement Method of Islanded Microgrid Integrated With Free Piston Stirling Generator","authors":"Juhui Yang;Wen Huang;Yu Feng;Zhangtao Jin;Zhikang Shuai;Z. John Shen","doi":"10.1109/TSTE.2026.3663906","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3663906","url":null,"abstract":"Dish-Stirling solar-thermal generating is a promising technology for sustainable development. It has attracted wide attention due to its high efficiency, cogeneration and peak shaving performance. As the power conversion unit, the free piston Stirling generator (FPSG) has excellent inertial support and overcurrent capacity, which makes it have good application prospects in islanded microgrid (MG). However, since FPSG is a multi-physics coupling system of thermal, mechanical and electrical fields, its high-order nonlinear characteristics lead to significant difficulties in frequency response analysis. In order to fill this gap, this paper linearizes the Schmidt model and then derives the frequency response model of FPSG by analogy with the mechanical swing equation of the synchronous generator (SG). Subsequently, the time domain analysis method was used to find that it exhibits over-damping characteristics, which confirms its inertial support capacity from a theoretical level. Then, considering the different characteristics of FPSG and energy storage system (ESS), a self-adaptive inertia enhancement control method is proposed, which uses FPSG to provide long-term high-power support whereas ESS tackles short-term power compensation. Finally, the feasibility of the proposed concept is validated through simulation and experimental results, which indicate that 48.84% and 54.89% improvements of the frequency nadir and rate of change of frequency (RoCoF) can be achieved.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"3006-3018"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148517188","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

Coordination of Wind Power and Energy Storage for Power Grid Frequency Support Considering Asset Degradation 考虑资产退化的风电与储能电网频率支持协调

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.2026.3656408

Junkai Huang;Yan Xu

引用次数: 0

Renewable Scenario Generation Using Quantum Generative Adversarial Networks 使用量子生成对抗网络的可再生场景生成

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.2026.3652012

Yongbing Yao;Yijun Xu;Wei Gu;Yishen Wang;Chengjun Liu;Shuai Lu;Lamine Mili

{"title":"Renewable Scenario Generation Using Quantum Generative Adversarial Networks","authors":"Yongbing Yao;Yijun Xu;Wei Gu;Yishen Wang;Chengjun Liu;Shuai Lu;Lamine Mili","doi":"10.1109/TSTE.2026.3652012","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3652012","url":null,"abstract":"With the increasing penetration of renewable resources in modern power systems, scenario generation for renewable energy has emerged as a critical tool for system operation and planning. Among the widely studied methods, Generative Adversarial Networks (GANs) are popular. Despite its model-free nature, it suffers from high computational demands due to its extensive trainable parameters and often struggles to capture intricate data patterns. To address these challenges, we employ quantum computing techniques that harness quantum entanglement principles. We propose, for the first time, a method of generating a quantum-enhanced renewable energy scenario based on a hybrid quantum GANs (QGANs) architecture. Specifically, given historical data of renewable resources, we design a quantum generator using parameterized quantum circuits. This quantum neural network achieves superior expressivity compared to its classical counterparts while requiring significantly fewer trainable parameters. Then, the resulting QGANs architecture combines this quantum generator with a classical discriminator for the effective generation of renewable energy scenarios. Quantum measurements also inherently introduce randomness into the generated renewable scenarios. The simulation results verify the rationale of the proposed method and demonstrate its effectiveness in capturing the spatio-temporal characteristics of renewable resources.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2472-2486"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148518389","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

Grid Forming Control Tuning for a Hybrid Inverter-Based Resource Power Plant 基于混合逆变器的资源电厂电网形成控制调谐

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-09 DOI: 10.1109/TSTE.2025.3642072

Lingling Fan;Zhixin Miao;Deepak Ramasubramanian

{"title":"Grid Forming Control Tuning for a Hybrid Inverter-Based Resource Power Plant","authors":"Lingling Fan;Zhixin Miao;Deepak Ramasubramanian","doi":"10.1109/TSTE.2025.3642072","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3642072","url":null,"abstract":"A hybrid inverter-based resource (IBR) power plant consists of grid-following (GFL) and grid-forming inverter-based resources (GFM-IBR) connected in parallel. This research focuses on how to design and tune GFM’s control parameters to ensure stable operation of the hybrid power plant for weak and strong grid conditions. We consider two design cases: one where the GFL-IBR does not provide frequency support, and one where it does. It is found that the GFM’s power-frequency synchronizing system can lose stability when the power-frequency droop constant is large and/or the grid is strong. Additionally, if the GFL has its frequency support enabled, oscillation stability worsens. To explain the mechanism of the interactions, we construct a feedback system for the synchronizing loop, which consists of the GFM’s power-frequency droop control that generates the GFM’s synchronizing angle, the GFL’s phase-locked loop that measures the voltage phase angle, the GFL’s frequency-power control that generates its power order, and the rest of the system. The feedback system is effective in illustrating the potential stability risks. Successful design ensures that the hybrid power plant can operate smoothly and ride through grid disturbances.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2095-2106"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148518393","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

Cost Efficient Operation of a Hydrogen Enabled Zero-Carbon Multi-Energy System 氢驱动的零碳多能源系统的成本效益运行

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2026-01-16 DOI: 10.1109/TSTE.2026.3654519

Xiaohong Guan;Wangyi Guo;Zhanbo Xu;Jinhui Liu;Jiang Wu

{"title":"Cost Efficient Operation of a Hydrogen Enabled Zero-Carbon Multi-Energy System","authors":"Xiaohong Guan;Wangyi Guo;Zhanbo Xu;Jinhui Liu;Jiang Wu","doi":"10.1109/TSTE.2026.3654519","DOIUrl":"https://doi.org/10.1109/TSTE.2026.3654519","url":null,"abstract":"Fully utilizing renewable energy with hydrogen storage technology provides a viable path to building a zero-carbon energy system. It is crucial to plan and synergize the operation of renewable, hydrogen, electrical, and thermal energy production, storage and utilization systems in order to minimize energy supply costs. This paper presents a coordinated long term (yearly operation scheduling) and short term (day-ahead and intra-day scheduling) optimization based operation approach for a hydrogen-enabled zero-carbon energy system (HZES) that incorporates renewable energy sources, multi-energy conversion devices, and long and short term energy storage. An integrated end-to-end prediction-optimization (IPO) method is developed to train the PV generation prediction model, which combines upstream renewable energy output predictions with downstream energy system operation optimization. This approach reduces operation decision gaps caused by renewable energy output prediction errors during training to enhance renewable energy utilization. The actual results are obtained from the HZES in production operation and the energy supply costs are compared with four other practical energy systems. It is shown that the HZES outperforms the current power grid and the city heating utility significantly in terms of the total annualized capital and operating cost by 37% to 49%. Furthermore, compared to the current rule-based operation process, the new optimization based method achieves more than 40% operational cost savings.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2571-2586"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148518558","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 Two-Degree-of-Freedom Elastic Energy Equivalent System for Evaluating Interactions in Power Systems With Multiple DFIG-Based Wind Farms 基于dfig的多风电场电力系统相互作用的二自由度弹性能量等效系统

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-08 DOI: 10.1109/TSTE.2025.3641224

Jiangbei Han;Chengxi Liu;Xuzhu Dong

{"title":"A Two-Degree-of-Freedom Elastic Energy Equivalent System for Evaluating Interactions in Power Systems With Multiple DFIG-Based Wind Farms","authors":"Jiangbei Han;Chengxi Liu;Xuzhu Dong","doi":"10.1109/TSTE.2025.3641224","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3641224","url":null,"abstract":"This paper proposes a two-degree-of-freedom elastic energy equivalent system (2DOF-EEES) to assess the sub-synchronous control interactions in the series compensated network integrated with multiple doubly-fed induction generator (DFIG)-based wind farms. Unlike traditional impedance-based aggregation approaches, the proposed 2DOF-EEES employs a two-degree-of-freedom elastic structure to intuitively characterize interactions between wind farms and the power network. Initially, the 2DOF-EEES is derived through an analogy between parallel RLC circuits and a two-degree-of-freedom spring-damper system, enabling a mechanical interpretation of oscillatory interactions. Subsequently, the 2DOF-EEES for power systems with multiple DFIG-based wind farms is developed by deriving its analytical expressions of common and differential-mode energy. Finally, integrating the analytical expressions of the 2DOF-EEES and the measured oscillatory information, the oscillatory stability and the damping distribution of the wind power systems are evaluated online. The results further demonstrate that the differential-mode energy influences common-mode energy via the equivalent elastic structure in the 2DOF-EEES, thereby affecting the interaction between the wind farms and the network.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2066-2080"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519167","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

Double-Layer Coordinated Yaw Control for Offshore Wind Farm Considering Dynamic Wind Direction 考虑动态风向的海上风电场双层协调偏航控制

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-19 DOI: 10.1109/TSTE.2025.3646022

Yang Fu;Shijing Yang;Lirong Deng;Yang Liu

{"title":"Double-Layer Coordinated Yaw Control for Offshore Wind Farm Considering Dynamic Wind Direction","authors":"Yang Fu;Shijing Yang;Lirong Deng;Yang Liu","doi":"10.1109/TSTE.2025.3646022","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3646022","url":null,"abstract":"To mitigate the impact of frequent wind fluctuations on power generation and fatigue loads in offshore wind farms, this study proposes a double-layer coordinated yaw control strategy that explicitly considers dynamic wind direction. The strategy features a hierarchical framework: the upper field-level control, executed centrally, maximizes total farm power generation by employing gradient descent combined with serial refinement to determine optimal yaw angles for various wind conditions. A novel Gaussian-Curl Energy-Conserving model is constructed to address strongly asymmetric wake interactions in large-scale wind farms. The lower unit-level control applies model predictive control over a continuous time horizon to track these field-level yaw references, featuring the dual objectives of minimizing tracking error and mitigating fatigue loads. Furthermore, a disturbance observer is incorporated for real-time compensation of systematic measurement errors. Simulation results demonstrate that the proposed control framework significantly enhances the wind farm power generation and reduces fatigue loads under stochastic wind environments, which exhibit strong applicability for large-scale offshore wind farm operations.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2293-2304"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519417","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

Learning-Accelerated Solution for the Bilinear Optimal Dispatch of Integrated Electricity and Heating Systems 电力供热一体化系统双线性最优调度的学习加速解

IF 10.3 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2026-07-01 Epub Date: 2025-12-18 DOI: 10.1109/TSTE.2025.3645810

Jiachen Zhang;Haotian Zhao;Qinglai Guo

{"title":"Learning-Accelerated Solution for the Bilinear Optimal Dispatch of Integrated Electricity and Heating Systems","authors":"Jiachen Zhang;Haotian Zhao;Qinglai Guo","doi":"10.1109/TSTE.2025.3645810","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3645810","url":null,"abstract":"The optimal dispatch of integrated electricity and heating systems (IEHS) becomes a computationally challenging non-convex problem when considering bilinear coupling between mass flow rates and temperatures in district heating networks. This paper proposes a learning-accelerated optimization framework that synergizes a spatio-temporal graph neural network with sequential linear programming (SLP) to achieve fast and high-quality solutions. The approach employs Graph Attention Networks (GAT) and bidirectional Gated Recurrent Units (biGRU) to learn tighter relaxation bounds by capturing both spatial network topology and temporal dependencies. Quantile regression techniques are then used to predict feasible intervals for pipe flow rates. The solution of this problem initializes an SLP algorithm that efficiently recovers a near-optimal and feasible solution for the original nonlinear problem. Case studies on the P39H89 and P118H223 systems demonstrate that the proposed method achieves a near-optimal solution with negligible violations while significantly reducing the computation time. The results validate the framework's ability to enable computationally efficient and scalable dispatch for large-scale integrated energy systems.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"2267-2278"},"PeriodicalIF":10.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519418","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