{"title":"Modeling multidimensional spatiotemporal and abrupt dynamics in wind power outputs with a hybrid intelligent approach","authors":"Chenghao Wang , Gengyang Lu , Yun Chen","doi":"10.1016/j.epsr.2026.112793","DOIUrl":"10.1016/j.epsr.2026.112793","url":null,"abstract":"<div><div>With the rapid expansion of offshore wind power installations, accurate power output forecasting has become essential for maintaining the supply‒demand balance of power systems and reducing the incurred operational costs. However, the offshore wind power generation process is highly nonlinear and volatile, as it is dynamically influenced by multiple coupled factors. To address these challenges, a hybrid output forecasting model for offshore wind power is proposed in this study. By integrating a convolutional neural network (CNN), a gated recurrent unit (GRU), and self-attention (SA), the model effectively captures spatial features, temporal dependencies, and global correlations across key time steps from multivariate time series data. Furthermore, the beluga whale optimization (BWO) algorithm is employed to adaptively tune the hyperparameters of the model. The results show that the proposed model significantly outperforms single models and other hybrid models in terms of forecasting accuracy. Compared with other optimization algorithms, the BWO algorithm possesses superior global search capabilities. In the experiments conducted in this study, the proposed algorithm converges rapidly to high-quality parameter configurations, which significantly improves its computational efficiency. Moreover, in generalization tests across implemented four different wind farms, the model consistently achieves R² scores exceeding 0.9737, confirming its strong cross-scenario applicability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112793"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189626","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}
{"title":"Dimensions of resilience in power grids: Strategies for quantifying resilience","authors":"Maureen S. Golan , Javad Mohammadi , Igor Linkov","doi":"10.1016/j.epsr.2026.112736","DOIUrl":"10.1016/j.epsr.2026.112736","url":null,"abstract":"<div><div>Unprecedented stressors coupled with changing load and generation profiles are increasing the power grid’s susceptibility to outages. Further complicating this is the shift to smart grid, or multi-agent technologies. Due to this shifting energy landscape, traditional reliability metrics used to assess the impact of stressors on the power grid must be augmented with resilience quantification methods that are applicable to multi-agent systems. We therefore first develop three resilience “dimensions\" to serve as guide rails for quantification: critical function, temporal, and decision-making hierarchy. We then conduct a literature review of recent power grid resilience quantification publications. We find that researchers leverage various critical functions, but that a lack of a benchmark, or absolute value against which to evaluate the metric, significantly detracts from the metric’s effectiveness. The granularity of the temporal dimension varies based on the purpose of the metric, and the decision-making hierarchy is often not explicitly addressed, resulting in a gap in the quantification of resilience in an evolving power grid.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112736"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980401","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}
Qihao Hu , Jianwen Wu , Jiawang Luo , Shangwen Xia , Ruida Zhang , Jian Lan , Ying Feng , Chengyu Wang
{"title":"Design and optimization of vacuum circuit breaker operating mechanism considering reclosing based on electromagnetic repulsion mechanism and semi-hard magnetic actuator","authors":"Qihao Hu , Jianwen Wu , Jiawang Luo , Shangwen Xia , Ruida Zhang , Jian Lan , Ying Feng , Chengyu Wang","doi":"10.1016/j.epsr.2026.112745","DOIUrl":"10.1016/j.epsr.2026.112745","url":null,"abstract":"<div><div>The dynamic characteristics and reliability of an operating mechanism directly influence the breaking performance of a vacuum circuit breaker. To achieve two rapid opening operations and one closing operation under reclosing conditions, and to enhance overall performance, a novel operating mechanism integrating an electromagnetic repulsion mechanism (ERM) with a semi-hard magnetic actuator (SHMA) is proposed. Comprehensive multi-objective optimization, along with simulation and experimental studies, has been conducted. A SHMA suitable for holding and closing operations is introduced, and its static and dynamic characteristics are analyzed and compared with those of a permanent magnetic actuator (PMA). For the multi-objective optimization of the structural parameters of the repulsion disk and coil, a combined approach using response surface methodology (RSM) and the non-dominated sorting genetic algorithm II (NSGA-II) is employed. The results indicate that the SHMA reaches steady state more rapidly, achieves higher closing speed, and exhibits reduced rebound compared to the PMA. Furthermore, the ERM demonstrates reduced current, peak mechanical stress, and radial dimensions, offering valuable guidance for engineering applications.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112745"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980422","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}
{"title":"Unipolar impulse ageing characteristics and non-uniform ageing mechanism of zinc oxide varistors","authors":"Xinyan Xiao, Zhijian Lu, Lanjun Yang","doi":"10.1016/j.epsr.2026.112740","DOIUrl":"10.1016/j.epsr.2026.112740","url":null,"abstract":"<div><div>The abnormal decline in DC-ageing power consumption of modern stable zinc oxide (ZnO) varistors hinders effective state assessment, and determining the ageing mechanisms of such varistors under various operating conditions is crucial for application. This study focuses on a scaled-down arrester model containing five layers of stable varistors connected in series. Negative-polarity impulse ageing characteristics were experimentally investigated, and the ageing patterns and mechanisms of key parameters were analysed. Results reveal that the varistors underwent asymmetric ageing, with all parameters exhibiting consistent polarity effects. The reverse volt–ampere characteristic curves crossing is possible attributed to the dynamic competition between the initial barrier height and hole concentration. The positive feedback effect from residual voltage dispersion intensifies non-uniform ageing within the model, causing localised premature surface breakdown and overall failure through a chain reaction. These findings provide valuable insights into microscopic material ageing mechanisms and high-performance arrester design and manufacturing.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112740"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980424","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}
Zuyuan Li , Baina He , Yunwei Zhao , Donghao Han , Lei Gao , Chenxu Liu , Weihan Dai , Ye Liu , Bao Jin , Jiarui Ding , Lei Meng
{"title":"Inversion algorithm of charge density for HVDC insulators based on hybrid regularization","authors":"Zuyuan Li , Baina He , Yunwei Zhao , Donghao Han , Lei Gao , Chenxu Liu , Weihan Dai , Ye Liu , Bao Jin , Jiarui Ding , Lei Meng","doi":"10.1016/j.epsr.2026.112817","DOIUrl":"10.1016/j.epsr.2026.112817","url":null,"abstract":"<div><div>Surface charge accumulation on insulators in HVDC gas-insulated equipment causes electric field distortion, posing flashover risks and threatening operational safety. Precise surface charge density inversion is thus essential for equipment design. This paper proposes a hybrid regularization-based inversion method, combining Tikhonov and total variation regularization advantages for accurate charge density reconstruction. Integrating the LSMR algorithm with Golub-Kahan bidiagonalization significantly reduces computational burdens. The generalized cross-validation (GCV) criterion adaptively determines the regularization coefficient and iteration stopping criterion, effectively suppressing noise interference and preventing semi-convergence. Simulation verification confirms the method achieves high inversion accuracy under varying noise levels, demonstrating excellent robustness. Further validation via insulator charge accumulation simulations using the bipolar charge transport model shows high agreement between inversion results and steady-state charge distributions. The method accurately reconstructs charge discontinuity regions in distributions with abrupt transitions. In conclusion, this hybrid regularization-based inversion algorithm provides an effective solution for precise surface charge density inversion on HVDC gas-insulated equipment insulators, offering significant theoretical value for optimizing insulation design.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112817"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188580","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}
{"title":"Hierarchical distributed scheduling of distribution networks using 5G base station clusters with fault-tolerant consensus-based allocation","authors":"Chongyu Liu, Hao Lei, Changyuan Zhou, Zhi-Wei Liu","doi":"10.1016/j.epsr.2026.112775","DOIUrl":"10.1016/j.epsr.2026.112775","url":null,"abstract":"<div><div>The rapid integration of renewable energy into distribution networks has posed challenges due to its intermittency and uncertainty. This paper proposes a hierarchical control framework that leverages the regulation capability of 5G base station (BS) clusters to enhance energy management in distribution networks. The upper layer employs a distributed dual decomposition algorithm to achieve economic coordination between the distribution system operator (DSO) and BS clusters. The lower layer performs distributed allocation of traffic loads and backup energy storage system (BESS) power within each cluster, enabling fast and reliable tracking of bus-level power targets. Furthermore, the method incorporates a fault-tolerant consensus mechanism to ensure stable operation under random device faults. Numerical simulations on the IEEE 33 bus system verify that the proposed framework effectively reduces voltage violations, mitigates photovoltaic curtailment, and improves computational efficiency and robustness compared with existing consensus-based methods.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112775"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078809","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}
Hossien Faraji, Amir Khorsandi, Seyed Hossein Hosseinian
{"title":"Advanced power management of electric vehicle fast charging station united with multi-microgrid in autonomous and interconnected operations","authors":"Hossien Faraji, Amir Khorsandi, Seyed Hossein Hosseinian","doi":"10.1016/j.epsr.2026.112784","DOIUrl":"10.1016/j.epsr.2026.112784","url":null,"abstract":"<div><div>This article discusses the power management of two microgrids (MGs) in both off-grid and interconnected modes, incorporating a 200 kW DC fast charging (DCFC) station with four charging locations (CLs). In off-grid mode, each MG supplies power to its internal loads using distributed energy resources. The DCFC station, equipped with a battery energy storage (BES) unit, allows for the exchange of power with electric vehicles (EVs) parked at the CLs, enabling simultaneous charging or discharging of two EVs at 50 kW each. Each MG and the DCFC station operates with its own central control system (CCS). In off-grid mode, the CCS manages local controllers and connects to the main central control system (MCCS) for interconnected operations. In interconnected mode, the MCCS coordinates the charging or discharging of multiple EVs through peer-to-peer power exchange. If the BES fails, the DCFC station can draw power from the MGs, and a load-switching capability between the MGs enhances reliability. Non-linear simulations using MATLAB/SIMULINK demonstrate the effectiveness of the proposed strategies. In interconnected mode, the MGs stabilized the charging power of three EVs at 50 kW, while one EV dropped below 25 kW without their cooperation. The control system successfully transferred up to 25 kW of additional load between MGs during generation interruptions. Throughout, the DC bus voltage remained stable at 660 V, the load inverter frequency in MG 1 stayed between 49.9 and 50.1 Hz, and the RMS load voltage in MG 2 was maintained at 220 V.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112784"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078816","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}
Dimitra G. Kyriakou , Fotios D. Kanellos , George J. Tsekouras
{"title":"Optimal ancillary frequency service with net-zero energy goal for microgrids","authors":"Dimitra G. Kyriakou , Fotios D. Kanellos , George J. Tsekouras","doi":"10.1016/j.epsr.2026.112750","DOIUrl":"10.1016/j.epsr.2026.112750","url":null,"abstract":"<div><div>Maintaining frequency stability is a critical challenge in microgrid operation, particularly under high renewable energy penetration and fluctuating demand conditions. Frequency deviations arise from imbalances between production and demand and are exacerbated by the variability of renewable generation. In this context, plug-in electric vehicles (PEVs) and building prosumers play a pivotal role in supporting frequency through fast and sophisticated control mechanisms. In this paper, novel control strategies are developed to achieve optimal frequency regulation by microgrids. The proposed approach defines and utilizes flexibility indices for all associated microgrid components. Through the effective coordination of building prosumers and PEVs’ flexibility, this work enhances and optimizes frequency support through dynamic adjustment of energy consumption and storage. Additionally, the environmentally aware regulation of local, building-integrated generators further contributes to sustainable frequency stabilization. The proposed method aims to ensure computational efficiency by leveraging advanced, smart and real-time power dispatch techniques. The performance and applicability of the method are validated through simulations of a realistic, complex microgrid, demonstrating its efficiency in addressing frequency regulation challenges.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112750"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039044","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}
{"title":"Optimal planning and charging/discharging control of retired batteries for demand-side applications under different PV integration schemes","authors":"Rong-Ceng Leou , Kun-Che Ho , Yi-Hwa Liu","doi":"10.1016/j.epsr.2026.112757","DOIUrl":"10.1016/j.epsr.2026.112757","url":null,"abstract":"<div><div>This paper evaluates the performance of a demand-side energy storage system (ESS) using retired batteries under different photovoltaic (PV) integration strategies. Mathematical models are developed to optimize ESS charging and discharging under both self-consumption and feed-in tariff (FIT) schemes, with the objective of minimizing electricity costs while accounting for electricity price variations, load and PV generation uncertainties, and battery aging. The impacts of FIT rates and electricity tariffs on PV integration scheme are examined, and an economic analysis model is proposed to determine the optimal ESS capacity by considering cost savings, system costs, and battery degradation. Sensitivity analyses are conducted on key parameters to assess their influence on system benefits. In addition, comparative results for different depth-of-discharge (DOD) operations between retired and new batteries indicate that retired batteries can effectively reduce environmental impact while providing a practical and cost-efficient solution.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112757"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039046","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}
{"title":"Influence of DC bias of step-up transformer on compensation performance of railway power conditioner","authors":"Youhua Jiang, Mengxuan Ge","doi":"10.1016/j.epsr.2026.112762","DOIUrl":"10.1016/j.epsr.2026.112762","url":null,"abstract":"<div><div>The railway static power conditioner (RPC) is typically connected to the traction power grid through step-up transformers. However, the DC component in the RPC output voltage introduces a DC bias in these transformers, degrading the RPC’s compensation performance. This paper investigates the mechanism of DC bias generation, the transformer current characteristics, and their coupling with the RPC. Through the analysis of the RPC topology, compensation principle, and equivalent circuit, the formation of DC bias is clarified. When DC bias causes core saturation, the transformer excitation current exhibits a sharp peak waveform, preventing the secondary current from effectively restoring the primary current. The study further examines the operational behavior of the step-up transformer and RPC under non-ideal conditions, revealing that the DC bias significantly affects the transformer’s no-load current ratio and, consequently, the RPC’s compensation capability. Moreover, the boundaries and constraints of DC bias for the step-up transformer are established. Results show that maintaining the RPC output current within 0.3 % of the transformer’s rated current ensures operation within the permissible DC bias region, where the excitation current remains nearly symmetrical and current recovery is achieved. Experimental results validate the proposed mechanism and theoretical analysis.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112762"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039102","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}