IET Energy Systems Integration最新文献_第3页

Attentive Dual-Domain Modelling for Error-Resilient Net Load Forecasting in Intermittent Renewable Power Systems 间断性可再生能源系统误差弹性净负荷预测的细心双域建模

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-10 DOI: 10.1049/esi2.70037

Bizhi Wu, Zhiyi Li

{"title":"Attentive Dual-Domain Modelling for Error-Resilient Net Load Forecasting in Intermittent Renewable Power Systems","authors":"Bizhi Wu, Zhiyi Li","doi":"10.1049/esi2.70037","DOIUrl":"https://doi.org/10.1049/esi2.70037","url":null,"abstract":"Accurate long-sequence net load forecasting is essential for reliable grid operation and renewable integration, yet it remains challenging under quasi-periodicity, sharp weather-driven variability and long-range error accumulation. We propose HarmoNet, an end-to-end dual-domain architecture for long-horizon deterministic and interval forecasting. HarmoNet (i) encodes coupled low/high-frequency representations with multi-scale temporal signals, (ii) integrates local pattern modelling and global dependency learning via a hybrid convolutional-transformer block and (iii) aggregates horizon-wide representations to mitigate drift in long-range prediction. Uncertainty is estimated with quantile regression (10%–50%–90%). We evaluate HarmoNet on four-year hourly net-load datasets from Belgium, Bulgaria and Italy (2016–2019) derived from the Open Power System Data platform, using eight exogenous meteorological covariates, over horizons of 96/192/336/720 h. Relative to the strongest baseline per dataset-horizon setting, HarmoNet reduces MAE by 14.2% on average (up to 22.5% on Italy at 720 h) and achieves average reductions of 28.4% in the Winkler score and 13.0% in pinball loss. Under deployment-oriented stress tests spanning high-volatility, peak-spike and steep-ramp windows, HarmoNet attains the best deterministic accuracy in 27/36 windows and the best probabilistic performance in 32/36 windows, indicating robust and deployment-friendly long-horizon forecasting.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147564744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-10

引用次数: 0

An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems 集成氢能系统的可再生能源混合交直流微电网稳定性增强智能鲁棒控制框架

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-07 DOI: 10.1049/esi2.70035

Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, Amanullah Maung Than Oo

{"title":"An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems","authors":"Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, Amanullah Maung Than Oo","doi":"10.1049/esi2.70035","DOIUrl":"https://doi.org/10.1049/esi2.70035","url":null,"abstract":"Hybrid AC/DC microgrids that integrate photovoltaic, wind, battery and hydrogen energy systems are prone to DC-bus voltage fluctuations because of their low inertia and converter-based operation. This paper proposes a robust backstepping nonsingular fast terminal integral sliding mode controller that incorporates a virtual capacitor and a fractional-power reaching law to emulate synthetic inertia and improve transient damping. The controller coordinates energy exchange among distributed generation units and ensures precise DC-bus voltage regulation while managing bidirectional power transfer between AC and DC subgrids. An adaptive neuro-fuzzy inference system automatically tunes the controller gains in real time, and system stability is rigorously established through control Lyapunov functions. A detailed MATLAB/Simulink model, comprising PV, PMSG-based wind turbine, battery storage, electrolyser and PEM fuel cell, implements ANN-based MPPT to maximise renewable energy harvesting. The BNFTISMC is evaluated in three case studies against two benchmark controllers: the enhanced integral terminal SMC and the enhanced nonsingular terminal SMC. Under severe disturbances and varying load conditions, the proposed controller cuts overshoot by 75%–100%, reduces rise time by 58%–80% and completely eliminates mean absolute and mean squared errors. Processor-in-the-loop testing confirms zero steady-state error, whereas converter efficiency reaches 95.78% compared with 69.21% for the reference designs, demonstrating improved DC-bus voltage regulation, enhanced microgrid reliability and efficient real-time operation.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-07

引用次数: 0

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-03

引用次数: 0

Improved Additional Damping Control for Synchronisation Stability Enhancement of Grid-Following Converters Under Multi-Loop Couplings Effects 多环耦合下电网跟随变换器同步稳定性增强的改进附加阻尼控制

IF 1.7

IET Energy Systems Integration Pub Date : 2026-03-03 DOI: 10.1049/esi2.70032

Guojie Song, Hong Li, Kaishun Xiahou, Bin Liu, Yanming Chen

{"title":"Improved Additional Damping Control for Synchronisation Stability Enhancement of Grid-Following Converters Under Multi-Loop Couplings Effects","authors":"Guojie Song, Hong Li, Kaishun Xiahou, Bin Liu, Yanming Chen","doi":"10.1049/esi2.70032","DOIUrl":"https://doi.org/10.1049/esi2.70032","url":null,"abstract":"In the small-signal synchronisation stability analysis of grid-following converters (GFL), the detailed interactions among multi-loop control mechanisms are often oversimplified or neglected, leading to significant modelling inaccuracies and potential stability assessment failures. To address this issue, this paper presents a motion-equation-based model for GFL converter that comprehensively incorporates multi-loop control dynamics, including the current control loop, AC voltage control loop, DC-link voltage control loop and PLL. Based on the proposed model, the coupling characteristics of multi-loop control are explicitly analysed and visualised in terms of system damping. The analysis reveals that low-frequency oscillations in GFL converters can be attributed to unintended negative damping induced by multi-loop control couplings. To mitigate this issue, an improved additional damping control (IADC) strategy is proposed, which enhances the synchronisation stability via effectively compensating for the negative damping caused by multi-loop interactions. Finally, the simulation and experiment studies are presented to validate the proposed analysis results and the effectiveness of the IADC strategy.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.7

IET Energy Systems Integration Pub Date : 2026-02-27

引用次数: 0

Voltage Control Strategies in Distribution Systems With High Distributed Generation Penetration: Models, Methods and Future Research 高分布式发电渗透率配电系统的电压控制策略：模型、方法及未来研究

IF 1.7

IET Energy Systems Integration Pub Date : 2026-02-27 DOI: 10.1049/esi2.70036

Htutzaw Hein, Jiebei Zhu, Lujie Yu, Zequn Liu, Xiaolong Liu, Siyang Xu, Yi Hao

{"title":"Voltage Control Strategies in Distribution Systems With High Distributed Generation Penetration: Models, Methods and Future Research","authors":"Htutzaw Hein, Jiebei Zhu, Lujie Yu, Zequn Liu, Xiaolong Liu, Siyang Xu, Yi Hao","doi":"10.1049/esi2.70036","DOIUrl":"10.1049/esi2.70036","url":null,"abstract":"This paper presents a comprehensive review of recent global research on voltage control in distribution systems with high penetration of distributed generation. First, it examines voltage regulation challenges in distribution systems that integrate distributed generation. Second, it reviews the implementation of voltage control devices and strategies and discusses key factors influencing their deployment, including system modelling and optimisation methods. Third, the paper covers a wide range of control strategies, including local, centralized, decentralized, distributed, hierarchical and hybrid approaches and systematically compares them in terms of distribution system structures, control variables, optimisation techniques and solution methodologies, providing insights into their suitability for modern distribution system operation. Fourth, voltage control strategies and solution methodologies are analysed in discussion based on comparative results reported in the literature. Finally, future research directions are outlined, including artificial intelligence (AI)–driven control with hierarchical and hybrid strategies and electric vehicle based active and reactive power support for voltage regulation, as well as system security and privacy considerations.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147569768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributionally Robust Coordinated Scheduling of Power-Transportation Systems Considering Bounded Rationality and Flexible Swapping of Electric Vehicles 考虑有限理性和电动汽车柔性交换的电力运输系统分布式鲁棒协调调度

IF 1.7

IET Energy Systems Integration Pub Date : 2026-02-25 DOI: 10.1049/esi2.70033

Mengkai Hu, Sheng Chen, Sixian Li, Zhinong Wei

{"title":"Distributionally Robust Coordinated Scheduling of Power-Transportation Systems Considering Bounded Rationality and Flexible Swapping of Electric Vehicles","authors":"Mengkai Hu, Sheng Chen, Sixian Li, Zhinong Wei","doi":"10.1049/esi2.70033","DOIUrl":"10.1049/esi2.70033","url":null,"abstract":"Large-scale electric vehicles (EVs) integration demand coordinated power-transportation systems to optimise charging loads and grid flexibility, whereas existing strategies inadequately address range anxiety, peak demands and photovoltaic (PV) operational uncertainties. To address these issues, this work proposes a power-transportation coordination model integrating flexible swapping. The model strategically guides EV users towards swapping stations by embedding bounded rationality parameters within a stochastic user equilibrium framework, mitigating anxiety while balancing charging-swapping loads. This work also develops a distributionally robust optimisation framework to address PV uncertainty, enhancing resilience against generation fluctuations. Numerical simulations demonstrate that battery swapping integration significantly reduces distribution network peak loads and shortens user waiting times compared to charging-only approaches. The proposed method outperforms deterministic models by reducing conservativeness and aligning more closely with real-world operational dynamics, validating its efficacy in harmonising user behaviour and grid constraints under uncertainty.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic Microgrid Scheduling With Chance-Constrained Resilience Consideration 考虑机会约束弹性的随机微电网调度

IF 1.7

IET Energy Systems Integration Pub Date : 2026-02-25 DOI: 10.1049/esi2.70034

Guodong Liu, Michael R. Starke, Tao Jiang

{"title":"Stochastic Microgrid Scheduling With Chance-Constrained Resilience Consideration","authors":"Guodong Liu, Michael R. Starke, Tao Jiang","doi":"10.1049/esi2.70034","DOIUrl":"10.1049/esi2.70034","url":null,"abstract":"Traditionally, it is assumed that microgrids transition seamlessly from grid-connected operation to islanded mode in the event of sudden main grid outages. In reality, the islanding process, especially unintentional islanding, is rarely seamless. Instead, it is subject to voltage and frequency fluctuations caused by the instantaneous disconnection of the point of common coupling (PCC) switch, variations in loads and renewable generation output and even the protection tripping of distributed energy resources (DERs). To mitigate these fluctuations and facilitate a smooth islanding process, we propose a stochastic microgrid scheduling model that incorporates chance-constrained resilience measures. Specifically, the resilience measure is defined as the probability of successful islanding (PSI), that is, the probability that a microgrid can mitigate the generation-demand imbalance caused by the disconnection of the PCC switch, variations in load and renewable generation and DER tripping. This measure is modelled using chance constraints. Unlike existing reliability and resilience indices, which typically neglect the possibility of microgrid/DER failure under extreme events and assume their survival while primarily focussing on reducing impact duration or magnitude, the proposed PSI-based framework explicitly addresses microgrid and DER survival during the islanding transition. The formulated nonlinear chance constraints are approximated using a multiinterval approach and equivalently represented as a mixed-integer linear programming (MILP) formulation. Case study results validate the proposed method, showing that the PSI estimation error is reduced to less than 8%, compared to approximately 28% with existing methods. Various sensitivity analyses on the DER tripping rate and PSI settings were performed to validate the robustness of the proposed method. In particular, the necessity of accounting for DER tripping in the PSI calculation was demonstrated.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0