Pengning Zhang , Ze Liu , Zihao Guo , Ning Wang , Ying Zhan , Jian Zhang
{"title":"Research on the vibration and noise characteristics and rapid simulation model of high frequency transformer with nanocrystalline alloy cores","authors":"Pengning Zhang , Ze Liu , Zihao Guo , Ning Wang , Ying Zhan , Jian Zhang","doi":"10.1016/j.epsr.2025.111965","DOIUrl":"10.1016/j.epsr.2025.111965","url":null,"abstract":"<div><div>This paper investigates the vibration and noise characteristics of high-frequency transformers (HFTs) with Litz wire windings. Despite the numerous advantages of high-frequency transformers, the analysis of vibration and acoustic noise in high-frequency transformers remains a challenging issue. A comprehensive analysis framework is developed to study these characteristics of HFT. First, an electromagnetic force model is established to analyze the high-frequency vibration mechanism. The magnetic properties of nanocrystalline cores are characterized through experimental measurements. Then, a multi-physics coupling model incorporating electromagnetic, mechanical, and acoustic fields is then constructed. To enhance computational efficiency, a simplified 2D multi-physics coupling model is proposed based on HFT load force analysis. The model’s effectiveness is verified through comparative studies under both sinusoidal and square wave excitations. Finally, experimental validation is performed using a specially designed high-frequency vibration and noise testing platform. The measured results demonstrate good agreement with the theoretical predictions, confirming the model’s accuracy. The research provides theoretical and data support for the optimization design of high-frequency transformers considering vibration and noise factors comprehensively.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111965"},"PeriodicalIF":3.3,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491897","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":"Modeling and control of a multi-frequency triple-port modular multilevel converter for offshore wind power flexible integration","authors":"Shuhao Yan, Yongqing Meng, Tianyi Wang, Yunkang Duan, Xiuli Wang, Xifan Wang","doi":"10.1016/j.epsr.2025.111945","DOIUrl":"10.1016/j.epsr.2025.111945","url":null,"abstract":"<div><div>With the rapid development of low frequency AC transmission, future power system will face vital problem of interaction among industrial frequency, low frequency and zero frequency systems. Despite the abundance of AC–AC and AC–DC converters, few topologies can achieve direct power conversion among these three frequencies. This paper proposes a new multi-frequency triple-port modular multilevel converter (MFTP-MMC) topology, featuring a simple and symmetrical structure. It enables direct power conversion among the three systems and inherently possesses the ability to block DC fault currents. The dynamic mathematical model in dq coordinates is established for MFTP-MMC, and the decoupling of three frequency components is realized. On this basis, corresponding inner loop control, outer loop control and circulating current suppressing control are proposed. Finally, the correctness of the topology and mathematical model, as well as the validity of the control strategies, are verified on hardware-in-loop experimental platform.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111945"},"PeriodicalIF":3.3,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491899","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":"Aggregation emergence of PHEVs and demand response as an adaptive flexibility resource to improve self-healing in smart gird","authors":"Behzad Mostafapour , Alireza Fereidunian , Milad Gilanifar , Saeed Seyedtabaii , Hamid Lesani","doi":"10.1016/j.epsr.2025.111962","DOIUrl":"10.1016/j.epsr.2025.111962","url":null,"abstract":"<div><div>This study investigates the synergistic impact of electric vehicles and responsive loads in providing flexibility for self-healing support. Given the dynamic behavior of electric vehicles, network load is treated as a variable during the restoration process. The introduction of remotely controlled switches enables various restoration strategies. The study also considers the responses of electric vehicle parking lot aggregators and responsive loads to outage management signals. Utilizing the particle swarm optimization algorithm, we determine the optimal locations for electric vehicle parking lots and the scheduling of emergency demand response, using the Roy Billinton Test System 4 as a benchmark. The electric vehicle parking lots on non-faulted feeders may serve as backup flexibility resources, while those located on customers’ premises in faulted zones can act as storage units forming microgrid islands. Strategically placing parking lots and responsive loads downstream of the opened switch on a damaged feeder helps prevent congestion in the backup feeder. This research explores the synergistic effects and enhancements arising from the emergence of responsive loads and electric vehicle parking lots as integrated systems. Results demonstrate that their joint involvement in restoration strategies provides a more reliable and effective reinforcement of self-healing capabilities, surpassing the benefits of individual contributions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111962"},"PeriodicalIF":3.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481521","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":"Dynamic pricing and low-carbon economy dispatch of multi-park integrated energy system based on mixed game","authors":"Yongli Wang, Hanzhi Zhou, Kaiwei Ma, Sichong Jiang, Mingyang Zhu","doi":"10.1016/j.epsr.2025.111908","DOIUrl":"10.1016/j.epsr.2025.111908","url":null,"abstract":"<div><div>In order to improve interactive relationships among multiple stakeholders within energy system,a dynamic pricing and low-carbon economic dispatch method is proposed. Firstly, this paper introduces the framework of multi-park integrated energy system in consideration of ladder carbon trading. Secondly, a mixed game model within multi-park integrated energy system is established, including cooperative game model within multi-park integrated energy system and non-cooperative game model between integrated system operator and multi-park integrated energy system. Thirdly, an improved Shapley-equivalent MDP combination method is proposed aiming to achieve a more fair and reasonable distribution of benefits among multiple stakeholders within multi park integrated energy system.Finally, through simulation analysis, the Gurobi solver combined with an improved sparrow search algorithm is used to solve the model, verifying the effectiveness of the proposed model in terms of economy and carbon calculation.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111908"},"PeriodicalIF":3.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481523","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":"A dual-layer distributed dispatch framework for frequency-secure unit commitment in integrated Transmission–Distribution networks","authors":"Dan Zhou, Qi Qu, Fanghong Guo","doi":"10.1016/j.epsr.2025.111892","DOIUrl":"10.1016/j.epsr.2025.111892","url":null,"abstract":"<div><div>The penetration of large-scale renewable energy into power systems poses significant challenges to grid inertia and frequency stability, which have historically been maintained by synchronous generators. To address these issues, this paper proposes a Transient Frequency Security-Constrained Unit Commitment (TFSC-TDUC) model, whose objective is to allocate dispatchable resources across coupled transmission and active distribution networks. By incorporating transient frequency security constraints into the conventional unit commitment framework, the proposed model enhances grid stability by harnessing the frequency regulation capabilities of thermal units, renewable energy sources (RESs), and energy storage systems (ESSs). A coordinated optimization strategy is introduced to incentivize distributed energy resources to participate in auxiliary frequency regulation, thereby improving operational efficiency. To solve the model, the nonlinear frequency constraints are linearized using second-order Taylor expansion and the Big-M method, transforming the problem into a mixed-integer linear programming (MILP) formulation. Furthermore, the Steffensen-accelerated heterogeneous decomposition algorithm (SA-HGD) is employed to enhance computational performance. Case studies demonstrate that the TFSC-TDUC model effectively coordinates resources in coupled transmission and distribution (CTD) networks, alleviating the operational burden on thermal units while improving transient frequency response. The results confirm that our proposed model not only ensures frequency security but also achieves high economic efficiency, enabling reliable grid operation under high renewable energy penetration.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111892"},"PeriodicalIF":3.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481522","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":"A multi-source data-driven approach for online photovoltaic power prediction","authors":"Mengqi Jia, Wenshan Hu, Xiaoke Zhang, Xiaoran Dai, Zhongcheng Lei, Hong Zhou","doi":"10.1016/j.epsr.2025.111913","DOIUrl":"10.1016/j.epsr.2025.111913","url":null,"abstract":"<div><div>Accurate photovoltaic (PV) power prediction, as a prerequisite for safe grid operation, is highly dependent on a large amount of PV data. However, the inaccuracies in a single PV data source may adversely affect the performance of subsequent prediction. In order to provide a comprehensive view of the data and improve the prediction accuracy of long-term PV prediction, a multi-source data-driven approach for online PV power prediction is proposed in this study. Firstly, this study introduces two typical data processing algorithms: the sliding window algorithm and the improved similar-day algorithm. The latter quantitatively analyses the similarity between different moments, which effectively guarantees the similarity of each period. Then, the multi-source data-driven power prediction model is constructed, which integrates the gated recurrent unit model with quantile regression. And the probability prediction of PV power generation is realized by kernel density estimation and the time-varying weight allocation mechanism. Finally, in order to ensure the effectiveness of the long-term prediction, an online learning mechanism is introduced into PV power prediction. The both experimental cases achieve high interval coverage and low bandwidth, demonstrating that the proposed approach exhibits significant improvements in both accuracy and sensitivity.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111913"},"PeriodicalIF":3.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481534","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}
Yuehai Wang , Liuyang Zhang , Keqing Ning , Wei Guo , Na Xing
{"title":"Single-phase grounding fault line selection method based on CWT-YOLOv11","authors":"Yuehai Wang , Liuyang Zhang , Keqing Ning , Wei Guo , Na Xing","doi":"10.1016/j.epsr.2025.111879","DOIUrl":"10.1016/j.epsr.2025.111879","url":null,"abstract":"<div><div>To address the difficulty of fault line selection for single-phase grounding faults in small current grounding systems, a fault line selection method for distribution networks based on CWT-YOLOv11 is proposed. First, the current signal is transformed into a feature map using Continuous Wavelet Transform (CWT), achieving the conversion from a one-dimensional time series to a two-dimensional spatial domain image. Next, the converted feature map is stitched together, providing valuable material for deep learning-based fault diagnosis in power distribution networks. Finally, an improved lightweight YOLOv11 (You Only Look Once version 11) network is used to train the feature map, extract fault characteristics, and achieve precise fault line selection. Experimental results show that this method achieves a fault line selection accuracy of 99.99%, significantly reducing the model’s parameter count and computational complexity while maintaining high precision, thus realizing an efficient and precise fault line selection process.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111879"},"PeriodicalIF":3.3,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472140","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}
Hasini De Silva , Mithulananthan Nadarajah , Mejbaul Haque , Monirul Islam , Rajvikram Madurai Elavarasan
{"title":"A review of restoration experience from historical blackouts and a decision support framework for parallel restoration with a case study","authors":"Hasini De Silva , Mithulananthan Nadarajah , Mejbaul Haque , Monirul Islam , Rajvikram Madurai Elavarasan","doi":"10.1016/j.epsr.2025.111933","DOIUrl":"10.1016/j.epsr.2025.111933","url":null,"abstract":"<div><div>A power system restoration after a blackout is expected within 8-12 hours, but historical data suggest that it can take up to several days in some occasions. While extensive research has focused on causes of blackouts, there has been insufficient attention on why restoration efforts taking longer time and what regulatory measures are taken during restoration planning. This review investigates ten notable blackouts during 2000-2024. The identified key issues include load coordination (24%), monitoring and control (24%), restoration plans (19%), and protection (14%). This review focuses on five steady state restoration issues including forming islands, black start capability, reactive power capability, over-voltage control and the block load pickup. The industry practice of system operators in the USA, Australia, Ireland and Canada and the restoration strategies based on network topology and blackout pre-conditions are reviewed considering over thirty industrial reports and seventy research papers. To address the restoration issues, a comprehensive decision support framework is proposed. Additionally, this framework is applied to a modified IEEE 9 bus and IEEE 39 bus test system. The restoration curve is developed, offering insights to visualize the gradual restoration of load over time. This review work underscores the need for continuous improvement in restoration guidelines, enhancing overall improvement in the restoration time. Further, how the framework can be modified for future grid with renewable based generation and the possible research directions are also proposed.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111933"},"PeriodicalIF":3.3,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472147","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}
Zhiyan Zhang , Zhenyang Sun , Xianghui Guo , Ruipeng Guo , Xiaoliang Yang , Pengju Yang
{"title":"Short-term multi-step wind power prediction model based on Pt-Transformer neural network integrating spatio-temporal feature and sparse attention","authors":"Zhiyan Zhang , Zhenyang Sun , Xianghui Guo , Ruipeng Guo , Xiaoliang Yang , Pengju Yang","doi":"10.1016/j.epsr.2025.111970","DOIUrl":"10.1016/j.epsr.2025.111970","url":null,"abstract":"<div><div>The accuracy and stability of wind power prediction are crucial for grid dispatching. However, precise wind power prediction faces three major challenges: effective mitigating data noise, representing complex spatio-temporal features, and selecting an appropriate prediction model. To address these challenges, this paper proposes a new wind power prediction model called process temporal transformer (Pt-Transformer). Firstly, an exponential weighted moving average (EWMA) method is employed to filter the noise of original wind characteristics while maintaining data complexity. Secondly, a seasonal trend decomposition (STD) model combined with a temporal autoencoder (TAE) is implemented to efficiently extract complex spatio-temporal characteristics. Furthermore, a sparse attention mechanism combined with the Transformer architecture is introduced to effectively extract high-dimensional latent space representations. Finally, two case studies are conducted using data from a cluster of wind farms and a single wind farm in central China, and three models, namely Transformer, Prob-Transformer, and Pt-Transformer, are used for prediction. The results show that the Pt-Transformer model outperforms the other two models in prediction accuracy and stability, reflecting its excellent performance in short-term multi-step wind power generation prediction.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111970"},"PeriodicalIF":3.3,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481520","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}
Dongjin Zhang , Baina He , Rongxi Cui , Yanchen Dong , Weihan Dai , Shuo Wang , Yuanlong Wei , Zuyuan Li , Lei Gao , Chenxu Liu
{"title":"Topology design of current injection DC circuit breaker based on coupling reactor","authors":"Dongjin Zhang , Baina He , Rongxi Cui , Yanchen Dong , Weihan Dai , Shuo Wang , Yuanlong Wei , Zuyuan Li , Lei Gao , Chenxu Liu","doi":"10.1016/j.epsr.2025.111964","DOIUrl":"10.1016/j.epsr.2025.111964","url":null,"abstract":"<div><div>DC circuit breakers are one of the key equipment of photovoltaic(PV) DC systems. Aiming at the problems of insufficient fault current limiting ability, severe breaking arc, and serious contact ablation of traditional circuit breakers in the junction box of PV system, a current injection DC circuit breaker topology based on coupling reactor is proposed in this paper. The thyristor device is used to transfer the fault current of the mechanical switch branch in this topology to suppress the breaking arc from the perspective of energy transfer. At the same time, a coupling reactor is added between the main branch and the mechanical switch branch, and a resistance-capacitance hybrid current limiting branch is added to the main branch. The rising speed of the fault current is suppressed effectively, the transfer speed of the fault current is accelerated, and the breaking arc time is shortened. The principle analysis and parameter design of the proposed circuit breaker topology are completed in this paper, the influence of the parameters of the coupling reactor and the resistance-capacitance hybrid current limiting branch on the fault current transfer time is analyzed and verified by the MATLAB/Simulink platform. The results show that the topology can suppress the arcing and accelerate the arc extinguishing speed significantly, which can reduce the fire hazard of the junction box and improve the operation reliability of the PV system effectively.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"248 ","pages":"Article 111964"},"PeriodicalIF":3.3,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472146","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}