Electric Power Systems Research最新文献_第8页

Single-stage boosting inverter with differential power processor for photovoltaic system 光伏系统差分功率处理器单级升压逆变器

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-17 DOI: 10.1016/j.epsr.2026.112752

Ben Zhao , Haoran Cui , Na Yan , Yigeng Huangfu

{"title":"Single-stage boosting inverter with differential power processor for photovoltaic system","authors":"Ben Zhao , Haoran Cui , Na Yan , Yigeng Huangfu","doi":"10.1016/j.epsr.2026.112752","DOIUrl":"10.1016/j.epsr.2026.112752","url":null,"abstract":"<div><div>The partial shading of photovoltaic (PV) modules caused by factors such as trees, clouds, and dust, as well as varying degrees of aging among PV modules, will lead to mismatched electrical characteristics of series PV modules and result in a significant power loss in the PV system. Differential power processing (DPP) converters can be employed to improve the power generation under partial shading conditions for a PV system. Nevertheless, a DPP converter is usually an additional device to the existing PV system and will introduce extra power losses and expense. In this paper, a single-stage boosting inverter (SSBI) integrated with a multi-winding type DPP converter is proposed. The functions of maximum power point tracking (MPPT), voltage step-up, inversion, and power equalization are achieved in one power stage. Only four switches are employed to achieve the above functions, resulting in a simple circuit and low cost. The feasibility of the proposed topology is verified by simulations and experiments. The experimental results show that, compared with SSBI without an integrated DPP structure, the proposed topology can have 12.83 % and 60.51 % power increment under two different partial shading conditions and good quality sinusoidal output with total harmonic distortion (THD) of 4 %.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112752"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980427","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

Electricity price spike forecasting via multivariate adaptive visibility graph neural networks 基于多元自适应可见性图神经网络的电价峰值预测

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 10.1016/j.epsr.2025.112695

Tianshu Bao , Nariman Mahdavi , Chris Mccarthy , Dana Rezazadegan

{"title":"Electricity price spike forecasting via multivariate adaptive visibility graph neural networks","authors":"Tianshu Bao , Nariman Mahdavi , Chris Mccarthy , Dana Rezazadegan","doi":"10.1016/j.epsr.2025.112695","DOIUrl":"10.1016/j.epsr.2025.112695","url":null,"abstract":"<div><div>Accurate forecasting of electricity price spikes is critical for energy market risk management, as these rare yet disruptive events cause substantial financial losses and arise from complex interactions among multiple market variables. An enhanced Graph Neural Network (GNN) framework is proposed that captures interdependencies among these Multivariate variables via an Adaptive Visibility Graph (MAVG) network. A hierarchical Differentiable Pooling (DiffPool) GNN architecture is then applied to coarsen this graph and forecast the next-step price spike probability. To address the extreme class imbalance inherent in spike data, a novel oversampling method called the balanced epoch sampler is also introduced. The proposed MAVG-DiffPool framework with oversampling is validated using real electricity prices from Australia under multiple spike thresholds. The framework achieves an F1-score of 0.84 under the moderate threshold. Under the extreme threshold, the framework outperformed LSTM by achieving nearly double the F1-score, demonstrating its effectiveness and robustness in addressing the challenge of spike forecasting.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112695"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980430","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

ZVZCS PSFB converter with minimized primary circulating losses and secondary voltage stresses using auxiliary winding and circuit ZVZCS PSFB变换器与最小的初级循环损耗和二次电压应力使用辅助绕组和电路

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.epsr.2026.112714

Zhenxing Zhao , Yujie He , Yuxing Dai , Jijia Zhu , Zishun Peng , Xinyan Huang , Kamal Al-Haddad , Yachao Yang

引用次数: 0

Interaction of neural network and dung beetle optimizer for characterization of large power transformers considering through-fault protection capability 考虑过故障保护能力的大型电力变压器神经网络与屎壳虫优化器的交互作用

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.epsr.2026.112808

Abdelmonem Draz , Hossam Ashraf , Ahmed R. El Shamy , Attia A. El‑Fergany

{"title":"Interaction of neural network and dung beetle optimizer for characterization of large power transformers considering through-fault protection capability","authors":"Abdelmonem Draz , Hossam Ashraf , Ahmed R. El Shamy , Attia A. El‑Fergany","doi":"10.1016/j.epsr.2026.112808","DOIUrl":"10.1016/j.epsr.2026.112808","url":null,"abstract":"<div><div>Several computational methods aim to accurately identify unknown parameters of transformers (XFMRs) through appropriate objective functions, but there is a need for more accurate models for large power XFMRs in both normal and faulty conditions. This paper presents a novel approach for estimating unknown parameters of power XFMRs by combining metaheuristic optimization with artificial neural networks (ANN). Six unidentified parameters are determined using the dung beetle optimizer (DBO), whose effectiveness is validated against various challenging optimizers. The algorithms capture the steady-state fingerprints of test cases regarding voltage regulation and efficiency characteristics under varying loading conditions. Moreover, ANN is employed to assess XFMR operations in malfunctioning scenarios by predicting protection through-fault capabilities. This includes analyzing frequent fault characteristics due to mechanical damage and infrequent electrical degradation faults via actual measurements of XFMR parameters. The proposed method is applied to a real-case power XFMR of 40 MVA and a benchmark 4 kVA XFMR, confirming that frequent fault characteristics for the 40 MVA XFMR begin at 4.06 times the rated current. The findings illustrate the synergistic capabilities of ANN and DBO in characterizing key parameters and performance of power XFMRs.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112808"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188577","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

Admittance modeling and oscillation analysis of hybrid GFL and GFM DFIGs under weak grid conditions 弱电网条件下GFL和GFM混合DFIGs的导纳建模及振荡分析

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.2026.112759

Xiaoju Lv, Ziwen Liu, Ziting Mei, Li Zhang, Feng Wu

{"title":"Admittance modeling and oscillation analysis of hybrid GFL and GFM DFIGs under weak grid conditions","authors":"Xiaoju Lv, Ziwen Liu, Ziting Mei, Li Zhang, Feng Wu","doi":"10.1016/j.epsr.2026.112759","DOIUrl":"10.1016/j.epsr.2026.112759","url":null,"abstract":"<div><div>With the development of Grid-Forming (GFM) wind turbine technology, dynamic uinteractions between hybrid Grid-Following Doubly-Fed Induction Generators (GFL DFIGs) and GFM DFIGs are intensifying, posing stability challenges, especially in weak grids. Therefore, this paper investigates the dynamic frequency coupling characteristics and instability mechanisms of hybrid systems composed of GFL and GFM DFIGs. Based on the dq coordinate system, a multiple-input multiple-output (MIMO) frequency-coupled admittance model is established for both GFL and GFM DFIGs, considering the dynamics of stator and rotor flux linkage and various control loops. Using the generalized Nyquist criterion, system oscillation mechanisms under weak grid conditions are assessed through eigenvalue trajectories of the frequency-domain loop gain matrix. The impact of different GFM configuration proportions on hybrid system stability is also explored. Finally, simulations in PSCAD validate the theoretical analysis, providing a foundation for parameter optimization and coordinated operation of hybrid GFL and GFM DFIG systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112759"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039098","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

Sparse mixture of experts enhanced transformer architecture for short-term hydroelectric reservoir volume prediction 稀疏混合专家改进了短期水电库容预测的变压器结构

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.epsr.2026.112754

Laio Oriel Seman , Kin-Choong Yow , Stefano Frizzo Stefenon

引用次数: 0

Fault section identification method of hybrid cable transmission lines based on frequency-constrained independent component analysis 基于频率约束独立分量分析的混合电缆传输线故障区段识别方法

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-19 DOI: 10.1016/j.epsr.2026.112732

Danhui Hu , Zeqi Huang , Yafang Tong , Qiang Sheng

{"title":"Fault section identification method of hybrid cable transmission lines based on frequency-constrained independent component analysis","authors":"Danhui Hu , Zeqi Huang , Yafang Tong , Qiang Sheng","doi":"10.1016/j.epsr.2026.112732","DOIUrl":"10.1016/j.epsr.2026.112732","url":null,"abstract":"<div><div>A method for identifying fault segments in hybrid cable transmission lines based on frequency-constrained independent component analysis has been proposed. By analyzing the traveling-wave characteristics of faults in such lines and the generation mechanism of natural frequencies in traveling-wave signals, fault segment identification for hybrid transmission lines is realized. A traveling-wave signal denoising algorithm based on frequency-constrained independent component analysis is employed to extract the effective components of the traveling-wave signal under low-frequency constraints. The denoised traveling-wave signals are decomposed using the empirical mode decomposition (EMD) algorithm, and the intrinsic mode function (IMF) components of the signals are extracted as the principal components of the natural frequencies. Based on the principal natural frequency components, the distance between the fault point and the measurement point is calculated for both single-branch and multi-branch hybrid cable transmission lines, thereby determining the fault segment in the hybrid cable transmission line. Experimental results demonstrate that the proposed method can accurately identify fault locations in hybrid transmission lines by utilizing the principal natural frequency components of traveling-wave signals and is applicable to various types of hybrid cable transmission lines.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112732"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039045","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

Wavelet transform-based adaptive single-pole auto-reclosing approach for power transmission lines considering shunt reactors 考虑并联电抗器的输电线路小波变换自适应单极自合闸方法

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.epsr.2026.112758

Ahmed R. Adly , Mohamed A. Tolba , Mahmoud M. Elgamasy , Omar F. Fadl , Mahmoud A. Elsadd

{"title":"Wavelet transform-based adaptive single-pole auto-reclosing approach for power transmission lines considering shunt reactors","authors":"Ahmed R. Adly , Mohamed A. Tolba , Mahmoud M. Elgamasy , Omar F. Fadl , Mahmoud A. Elsadd","doi":"10.1016/j.epsr.2026.112758","DOIUrl":"10.1016/j.epsr.2026.112758","url":null,"abstract":"<div><div>Identifying the fault types is an essential mission of the transmission line protective scheme. This paper introduces an innovative wavelet-based adaptive reclosing technique for transmission systems equipped with shunt reactors. This approach helps prevent costly blackouts and ensures the reliability of the electrical grid. Significantly, even and odd harmonic components in the voltage signal become prominent after breaker operation, during the secondary arc, and following arc extinction in transient fault conditions. To address these challenges, the proposed method utilizes the wavelet packet transform (WPT) with a recursive and short-windowing approach to effectively extract harmonic components of various orders. Two distinct energy coefficient indices are developed to distinguish between transient and permanent faults and to determine the arc extinction instant. Different configurations of the power system are utilized to examine the proposed protective scheme. Software ATP-EMTP (Simulation experiments) verified the feasibility of the presented scheme. To verify the capability and accuracy of presented scheme, it is examined by many fault scenarios such as different fault location, different arc models, different compensation levels, power swing situation, varying source impedances, varying operating voltage, varying operating frequency and noise effect. In addition, the validity of the presented scheme is compared with other protection directional schemes.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112758"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039101","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

Research on the topology and startup control method of diode series boost offshore DC transmission system 二极管串联升压离岸直流输电系统拓扑结构及启动控制方法研究

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.2026.112716

Jianqiang Liu , Sixu Liu , Jinda Li , Xinyu Tan , Tengfei Guo , Haokai Xie

引用次数: 0

A direct MPPT method using inductor-based I–V measurement in a critical conduction mode (CrCM) interleaved boost converter 在临界导通模式（CrCM）交错升压变换器中使用基于电感的I-V测量的直接MPPT方法

IF 4.2 3区工程技术

Electric Power Systems Research Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.epsr.2026.112783

N. Çetin Acar , S. Börekci

{"title":"A direct MPPT method using inductor-based I–V measurement in a critical conduction mode (CrCM) interleaved boost converter","authors":"N. Çetin Acar , S. Börekci","doi":"10.1016/j.epsr.2026.112783","DOIUrl":"10.1016/j.epsr.2026.112783","url":null,"abstract":"<div><div>In this study, a novel maximum power point tracking (MPPT) technique is proposed for photovoltaic (PV) systems using an interleaved boost converter operated in critical conduction mode. Unlike conventional methods, the maximum power point (MPP) is detected by analyzing the instantaneous inductor current and PV voltage within a single switching period, enabling precise determination of MPP in the order of microseconds. The interleaved boost topology significantly reduces input current ripple, thereby minimizing power oscillations around the MPP and improving overall system efficiency. The developed algorithm continuously samples inductor current and PV voltage, calculates instantaneous power, and updates the switching frequency accordingly under varying irradiance and temperature conditions. Experimental validation with a 40 W PV panel demonstrates that the proposed method achieves an accuracy of up to 99.5% when the PV system operates above 65% of nominal power. Compared to the conventional variable resistive method, the proposed MPPT technique provides faster response, higher accuracy, and lower power fluctuation, offering an efficient solution for next-generation PV energy conversion systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"255 ","pages":"Article 112783"},"PeriodicalIF":4.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188584","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