Electric Power Systems Research最新文献

NARX neural network-based black-box equivalence model of external microgrids in a multi-microgrid including DFIG and BESS 基于NARX神经网络的DFIG和BESS多微网外部微网黑盒等效模型

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-09 DOI: 10.1016/j.epsr.2026.112720

M. Shafiee Souderjani, M.E. Hamedani Golshan

{"title":"NARX neural network-based black-box equivalence model of external microgrids in a multi-microgrid including DFIG and BESS","authors":"M. Shafiee Souderjani, M.E. Hamedani Golshan","doi":"10.1016/j.epsr.2026.112720","DOIUrl":"10.1016/j.epsr.2026.112720","url":null,"abstract":"<div><div>To capture the entire dynamic response of a multi-microgrid (MMG) system, detailed modeling of the MMG is necessary; however, the computational burden of such models limits their suitability for efficient dynamic studies. When the analysis focuses on a single microgrid (MG) within a MMG, external MGs can be represented using simplified equivalents that preserve accuracy while significantly reducing computational demands. To balance model detail with computational efficiency, this paper proposes a model order reduction (MOR) technique based on a nonlinear autoregressive exogenous (NARX) neural network to replace external MGs with an artificial intelligence (AI)-based black-box equivalent. To consider all dynamic modes in different disturbances, a detailed MMG model is introduced where each MG comprises doubly-fed induction generators (DFIGs), battery energy storage systems (BESSs), loads, and distribution feeders capable of operating in both grid-connected and islanded modes. To demonstrate the method’s scalability, a MMG composed of six MGs with total dynamic order of 360 has been studied. The designed training and validation scenarios capture the dynamic responses of external MGs to a wide range of representative events occurring on the target MG. The performance of the proposed reduced-order model is evaluated in comparison with a long short-term memory (LSTM) based alternative and the detailed model, which serves as the ground truth. The NARX-based equivalent achieves high accuracy while reducing simulation time by over 90%, providing a practical solution for computationally efficient MMG dynamic studies.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112720"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Adaptive dynamic virtual resistor method for suppressing synchronous frequency resonance 抑制同步频率共振的自适应动态虚电阻方法

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-31 DOI: 10.1016/j.epsr.2026.112791

Biao Feng, Li Zhang, Qi Han

{"title":"Adaptive dynamic virtual resistor method for suppressing synchronous frequency resonance","authors":"Biao Feng, Li Zhang, Qi Han","doi":"10.1016/j.epsr.2026.112791","DOIUrl":"10.1016/j.epsr.2026.112791","url":null,"abstract":"<div><div>Virtual synchronous generator (VSG) control has become one of the core control strategies for grid-connected converters by providing virtual inertia and damping that can effectively improve system stability. However, in low resistance-to-reactance ratio (<em>R</em>/<em>X</em>) grids, their power loops are prone to synchronous frequency resonance (SFR). This paper establishes a small-signal frequency-domain model of the VSG power loops to reveal the mechanism of SFR, and uses dynamic relative gain array (DRGA) to quantify the exacerbating effect of resonance on power coupling in low <em>R/X</em> systems, elucidating the influence of <em>R</em>/<em>X</em> on resonance peak values and stability margins. Furthermore, an adaptive dynamic virtual resistor (ADVR) method based on online impedance identification (OII) is proposed: this method suppresses resonance through dynamic virtual resistors combining OII, and adaptively adjusts the virtual resistors to accelerate resonance decay while avoiding exacerbating power coupling, it effectively addresses the issue of resonance suppression failure caused by changes in line impedance parameters. This article presents an electromagnetic transient simulation model developed in Matlab/Simulink, validating theoretical analysis and evaluating the effectiveness of the proposed method for enhanced accuracy.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112791"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Offshore wind power forecasting via trend-aware just-in-time learning with nearest neighbors 通过与最近邻居的趋势感知实时学习进行海上风电预测

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-24 DOI: 10.1016/j.epsr.2026.112767

Yu Pan , Tao Chen

引用次数: 0

Dependence-aware day-ahead unit commitment and economic dispatch for a CHP-centered microgrid 以热电联产为中心的微电网依赖感知日前机组承诺和经济调度

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-31 DOI: 10.1016/j.epsr.2026.112786

Syed Mahboob Ul Hassan

{"title":"Dependence-aware day-ahead unit commitment and economic dispatch for a CHP-centered microgrid","authors":"Syed Mahboob Ul Hassan","doi":"10.1016/j.epsr.2026.112786","DOIUrl":"10.1016/j.epsr.2026.112786","url":null,"abstract":"<div><div>Integrating high levels of solar photovoltaic (PV) generation into combined heat and power (CHP) microgrids presents scheduling challenges due to forecast uncertainty and thermal coupling between electric and heating demands. Traditional point-forecast scheduling is unreliable under forecast errors and inconsistent with joint electric-heating behavior, while scenario-based stochastic methods are computationally expensive for day-ahead operations. This study proposes a dependence-aware deterministic unit commitment and economic dispatch (UC/ED) framework that addresses uncertainty in PV output and coupled electric-heating demands using quantile regression forecasting. The method produces day-ahead quantile forecasts, then uses a rolling historical window to estimate empirical joint quantile-occurrence distributions for electric and heating loads and marginal distributions for PV. These distributions construct hourly probability-weighted day-ahead profiles that serve as deterministic inputs to a single mixed-integer UC/ED optimization. Five scheduling strategies are compared across different rolling window lengths (7-, 12-, 17-, and 30-day) versus median-only dispatch. The 30-day window achieves optimal performance with operating costs of $251.12, representing a 16.07% reduction from median-only scheduling ($299.22). Savings derive primarily from reduced CHP fuel consumption and improved battery energy storage system efficiency.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112786"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 coordinated hierarchical frequency control strategy for islanded microgrid using multiple flexibility resources 基于多柔性资源的孤岛微电网协调分层频率控制策略

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-05 DOI: 10.1016/j.epsr.2026.112820

Xijin Yang, Qinfen Lu

{"title":"A coordinated hierarchical frequency control strategy for islanded microgrid using multiple flexibility resources","authors":"Xijin Yang, Qinfen Lu","doi":"10.1016/j.epsr.2026.112820","DOIUrl":"10.1016/j.epsr.2026.112820","url":null,"abstract":"<div><div>To address the stringent dual requirements for frequency stability and operational economy in island microgrids under source-load uncertainties, this paper proposes a hierarchical coordinated frequency control strategy with incorporating economic dispatch. In the primary frequency control stage, a Sigmoid function-based adaptive Virtual Synchronous Generator (VSG) control is proposed. This method adjusts the virtual damping in real-time to enhance the dynamic response capability of renewable energy sources (RES). In the secondary frequency control stage, a Model Predictive Control (MPC) framework integrating an economic cost function is constructed to achieve the deep integration of frequency restoration and optimal power allocation. Simulation results in Matlab/Simulink demonstrate that the load response rate of RES in the primary control stage increases by over 280 %. In the secondary control stage, the RES response rate reaches approximately 34 %, and the comprehensive cumulative generation cost is reduced by about 73.9 %. Furthermore, the change rate of frequency deviation remains at the order of magnitude of <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>6</mn></mrow></msup></mrow></math></span> under system parameter perturbations, which verifying the robustness of the proposed strategy.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112820"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Iterative-learning enhanced error-based active disturbance rejection control for power regulation of offshore wind turbines 海上风力发电机组功率调节的迭代学习增强误差自抗扰控制

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-11 DOI: 10.1016/j.epsr.2026.112833

Guolian Hou , Qingwei Li , Qi Yu , Ting Huang

{"title":"Iterative-learning enhanced error-based active disturbance rejection control for power regulation of offshore wind turbines","authors":"Guolian Hou , Qingwei Li , Qi Yu , Ting Huang","doi":"10.1016/j.epsr.2026.112833","DOIUrl":"10.1016/j.epsr.2026.112833","url":null,"abstract":"<div><div>Offshore wind power has become a key driver of the global clean energy transition. However, the inherent stochasticity of the wind field leads to pronounced power fluctuations that conventional controllers cannot effectively mitigate, particularly under periodic disturbances. To address these issues, this paper proposes an error-based active disturbance rejection control strategy enhanced with iterative learning (EADRC-IL) for offshore wind turbines (OWTs) to suppress power fluctuations. Integrating iterative learning enables feedforward compensation of repeatable components, reducing estimation burden of the extended state observer and strengthening disturbance rejection while preserving EADRC’s robustness to stochastic disturbances. In addition, a stability analysis of EADRC-IL is conducted using singular perturbation theory to ensure theoretical soundness. Moreover, the chaotic sine-cosine-assisted mountain gazelle optimizer is devised to efficiently tune controller parameters, ensuring both convergence speed and regulation performance. High-fidelity OpenFAST simulations on a 5-MW OWT show that EADRC-IL consistently outperforms baselines, reducing overshoot by up to 20.1% under step winds and MAE by 36.63% under turbulent winds.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112833"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 PV prediction model based on mechanistic data-driven feature generation with temporal cross-scale alignment mechanism 基于时间跨尺度对齐机制的机械数据驱动特征生成PV预测模型

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.epsr.2026.112755

Keqi Wang , Junye Zhu , Yangshu Lin , Chao Yang , Zhongwei Zhang , Zhongyang Zhao , Can Zhou , Lijie Wang , Chenghang Zheng

{"title":"A PV prediction model based on mechanistic data-driven feature generation with temporal cross-scale alignment mechanism","authors":"Keqi Wang , Junye Zhu , Yangshu Lin , Chao Yang , Zhongwei Zhang , Zhongyang Zhao , Can Zhou , Lijie Wang , Chenghang Zheng","doi":"10.1016/j.epsr.2026.112755","DOIUrl":"10.1016/j.epsr.2026.112755","url":null,"abstract":"<div><div>During photovoltaic (PV) power generation, the stochastic fluctuation of solar energy poses significant challenges for grid-connected systems, making accurate PV power forecasting essential for maintaining grid reliability and stability. This study proposes a PV power forecasting model that integrates mechanistic data-driven feature generation with a temporal cross-scale alignment mechanism (TCSAM). Two key features—effective irradiance and module temperature—highly correlated with power output, are derived through irradiance calculations on the tilted PV surface and heat transfer mechanisms. Various network modules extract features at different scales, capturing both slow time-varying and time-series characteristics. The model utilizes changes in features across both long-term and short-term time scales to assess their relationship with future meteorological features, identifying critical factors that significantly influence upcoming power generation. This approach enables the model to effectively detect underlying patterns and connections between past information and future outcomes. On four seasonal test sets, the model reduces RMSE by 20 %-30 % and increases R² by 2 %-3 % compared to the best baseline, highlighting its superior performance. This study offers innovative insights to enhance the accuracy and robustness of PV power forecasting, contributing to the stable operation of power grids.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112755"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Multi-time-scale optimal scheduling of DCP-IES: Low-carbon-economic synergy with high renewable penetration DCP-IES多时间尺度优化调度：高可再生能源渗透率的低碳经济协同效应

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.epsr.2026.112751

Xu Wu , Lan Yu , Jingtao Hu , Ke Xing , Guo Wang

{"title":"Multi-time-scale optimal scheduling of DCP-IES: Low-carbon-economic synergy with high renewable penetration","authors":"Xu Wu , Lan Yu , Jingtao Hu , Ke Xing , Guo Wang","doi":"10.1016/j.epsr.2026.112751","DOIUrl":"10.1016/j.epsr.2026.112751","url":null,"abstract":"<div><div>Against the backdrop of high-proportion renewable energy integration into the main power grid, the low-carbon and high-reliability operation of the Data Center Park (DCP) Integrated Energy System (IES) is crucial for energy transition. However, DCPs-characterized by intensive computing loads and multi-energy coupling-confront dual scheduling challenges: carbon emission reduction and risk management. To address these challenges, this paper proposes a \"carbon-risk\" dual-constrained dynamic scheduling model featuring day-ahead and intra-day stages. Specifically, the day-ahead stage aims to minimize total operational and carbon costs; it adopts scenario-based methods to construct multi-source uncertainty scenarios, integrates Conditional Value at Risk (CVaR) to quantify risks arising from renewable energy uncertainty, and optimizes the operational strategies of combined cooling, heating, and power (CCHP) systems, energy storage, and renewable energy units. The intra-day stage, by leveraging rolling wind-solar forecasts, mitigates tie-line power deviations and dynamically adjusts carbon emissions via real-time adjustments to equipment output, ensuring grid security and the timeliness of carbon emission constraints. A case study on a DCP in northwest China validates the model’s effectiveness in synergistically reducing carbon footprints, mitigating operational risks, and enhancing economic performance, thus providing an effective solution for the optimal operation of DCP-IES under high-proportion renewable energy integration.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112751"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Adaptive distributed cyber-resilient secondary control for islanded AC microgrid against switch DoS attacks and unbounded FDI attacks 孤岛交流微电网抗交换机DoS攻击和无界FDI攻击的自适应分布式网络弹性二次控制

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.epsr.2026.112785

Haitao Zhang , Dong Ding , Zhigang Zhang , Ze Tang

{"title":"Adaptive distributed cyber-resilient secondary control for islanded AC microgrid against switch DoS attacks and unbounded FDI attacks","authors":"Haitao Zhang , Dong Ding , Zhigang Zhang , Ze Tang","doi":"10.1016/j.epsr.2026.112785","DOIUrl":"10.1016/j.epsr.2026.112785","url":null,"abstract":"<div><div>This paper mainly addresses the problem of voltage and frequency regulation as well as active power sharing in islanded AC microgrid (MG) under hybrid cyber-attacks by adopting the adaptive distributed resilient secondary control strategy. A novel adaptive distributed resilient secondary controller incorporating a lightweight adaptive compensation term is designed to counteract the impacts of switch denial-of-service (DoS) attacks and unbounded false data injection (FDI) attacks. The capability of the distributed resilient secondary controller to achieve asymptotically uniformly bounded (AUB) control under hybrid attacks can be significantly enhanced by adjusting the parameters of the resilient controller. The achievement of confining the recovery errors of voltage and frequency as well as the active power sharing errors within a bounded range by the proposed distributed resilient secondary controller is rigorously proven, respectively, where sufficient conditions for the closed-loop system state matrix to be Hurwitz under hybrid cyber-attacks are explicitly derived by leveraging the diagonalization of block matrix together with the stability criterion for second-order complex coefficient polynomials. Finally, simulations of a test islanded AC MG validate the effectiveness of the proposed theories.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112785"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Power distribution network reconfiguration for distributed generation maximization 分布式发电最大化的配电网重构

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.epsr.2026.112779

Kin Cheong Sou , Gabriel Malmer , Lovisa Thorin , Olof Samuelsson

引用次数: 0